library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area5-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorScheme="Prism",
graphOrientation="vertical",
graphType="Area",
showLegend=FALSE,
smpTextRotate=90,
smpTitle="Month / First Quarters of 2024",
title="Area graph with one series",
titleScaleFontFactor=1.2,
xAxis=list("Value"),
xAxisTitle="Revenue (in Millions)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area5-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorScheme="Prism",
graphOrientation="vertical",
graphType="Area",
lineType="spline",
showLegend=FALSE,
smpTextRotate=90,
smpTitle="Month / First Quarters of 2024",
title="Area graph with one series - Spline",
titleScaleFontFactor=1.2,
xAxis=list("Value"),
xAxisTitle="Revenue (in Millions)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area6-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorScheme="Behance",
graphOrientation="vertical",
graphType="Area",
lineType="spline",
objectColorTransparency=0.7,
smpTextRotate=90,
smpTitle="Month / First Quarters of 2024",
subtitle="random data",
title="Area graph with three overlapping data series",
titleScaleFontFactor=1.2,
xAxis=list("Series A", "Series B", "Series C"),
xAxisTitle="Revenue (in Millions)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area6-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="stacked",
colorScheme="LastAirBenderWater",
graphOrientation="vertical",
graphType="Area",
lineType="spline",
smpTextRotate=90,
smpTitle="Month / First Quarters of 2024",
title="Area graph with three stacked data series",
titleScaleFontFactor=1.2,
xAxis=list("Series A", "Series B", "Series C"),
xAxisTitle="Revenue (in Millions)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area6-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="percent",
colorScheme="Prism",
graphOrientation="vertical",
graphType="Area",
lineType="spline",
smpTextRotate=90,
smpTitle="Month / First Quarters of 2024",
title="Area graph with three data series in percentage",
titleScaleFontFactor=1.2,
xAxis=list("Series A", "Series B", "Series C"),
xAxisTitle="Percent of Revenue (in Millions)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area6-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorScheme="Behance",
filterData=list(list("guess", FALSE, "different", list("Series C"))),
graphOrientation="vertical",
graphType="Area",
lineType="spline",
objectColorTransparency=0.7,
smpTextRotate=90,
smpTitle="Month / First Quarters of 2024",
subtitle="Filtered data",
title="Area graph with three overlapping data series",
titleScaleFontFactor=1.2,
xAxis=list("Series A", "Series B", "Series C"),
xAxisTitle="Revenue (in Millions)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area6-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="stacked",
colorScheme="LastAirBenderWater",
filterData=list(list("guess", FALSE, "exact", list("Series B"))),
graphOrientation="vertical",
graphType="Area",
lineType="spline",
smpTextRotate=90,
smpTitle="Month / First Quarters of 2024",
subtitle="Filtered data",
title="Area graph with three stacked data series",
titleScaleFontFactor=1.2,
xAxis=list("Series A", "Series B", "Series C"),
xAxisTitle="Revenue (in Millions)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area7-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-area7-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Series",
colorScheme="GameOfThronesStannis",
graphType="Area",
legendColumns=3,
legendPosition="top",
lineType="spline",
subtitle="skiny-long format",
title="Area graph with three stacked data series",
titleScaleFontFactor=1.2,
xAxis=list("Month"),
xAxisTitle="Revenue (in Millions)",
yAxis=list("Value"),
yAxisTitle="Months / First Quarters of 2024"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area7-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-area7-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Series",
colorScheme="GameOfThronesStannis",
filterData=list(list("guess", "Series", "not like", list("Series A"))),
graphType="Area",
legendColumns=3,
legendPosition="top",
lineType="spline",
subtitle="skiny-long format - Filtered",
title="Area graph with three stacked data series",
titleScaleFontFactor=1.2,
xAxis=list("Month"),
xAxisTitle="Revenue (in Millions)",
yAxis=list("Value"),
yAxisTitle="Months / First Quarters of 2024"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphOrientation="vertical",
graphType="Area",
objectColorTransparency=0.7,
smpLabelInterval=20,
smpTextRotate=45,
smpTitle="Year",
subtitle="gcookbook - uspopage",
title="Age distribution of population in the United States",
xAxis=list("<5", "5-14", "15-24", "25-34", "35-44", "45-54", "55-64", ">64"),
xAxisTitle="Number of People (1000's)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="stacked",
colorScheme="Blues",
graphOrientation="vertical",
graphType="Area",
smpLabelInterval=20,
smpTextRotate=45,
smpTitle="Year",
subtitle="gcookbook - uspopage",
title="Age distribution of population in the United States",
xAxis=list("<5", "5-14", "15-24", "25-34", "35-44", "45-54", "55-64", ">64"),
xAxisTitle="Number of People (1000's)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="percent",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Area",
smpLabelInterval=20,
smpTextRotate=45,
smpTitle="Year",
subtitle="gcookbook - uspopage",
title="Age distribution of population in the United States",
xAxis=list("<5", "5-14", "15-24", "25-34", "35-44", "45-54", "55-64", ">64"),
xAxisTitle="Number of People (1000's)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="stacked",
colorScheme="ColorSpectrum",
colorSpectrum=list("blue", "cyan", "yellow", "red"),
graphOrientation="vertical",
graphType="Area",
lineType="spline",
objectBorderColor=FALSE,
objectColorTransparency=0.3,
showLegend=FALSE,
showSampleNames=FALSE,
title="Steam Plot",
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30"),
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="stacked",
colorScheme="ColorSpectrum",
colorSpectrum=list("blue", "cyan", "yellow", "red"),
graphOrientation="vertical",
graphType="Area",
lineType="spline",
objectBorderColor=FALSE,
objectColorTransparency=0.6,
showLegend=FALSE,
showSampleNames=FALSE,
title="Data Mountain",
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30"),
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatterArea-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scatterArea-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="g",
colorScheme="GGPlot",
graphType="Area",
theme="GGPlot",
xAxis=list("x"),
yAxis=list("y")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-fontana-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-fontana-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="country",
colors=list("rgb(0,63,92)", "rgb(47,75,124)", "rgb(102,81,145)", "rgb(160,81,149)", "rgb(212,80,135)", "rgb(249,93,106)", "rgb(255,124,67)", "rgb(255,166,0)"),
dataPointSizeScaleFactor=0,
graphType="Area",
legendColumns=3,
legendPosition="bottom",
panelBackgroundColor="rgb(222,222,222)",
xAxis=list("year"),
xAxisGridMinorShow=FALSE,
yAxis=list("total_wealth"),
yAxisGridMinorShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area8-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphOrientation="vertical",
graphType="AreaLine",
lineThickness=3,
lineType="spline",
objectColorTransparency=0.5,
setMaxX=50,
setMaxX2=50,
smpTextRotate=90,
smpTitle="Month",
xAxis=list("Series A", "Series B", "Series C"),
xAxis2=list("Series D", "Series E"),
xAxis2Show=TRUE,
xAxisShow=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area8-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="stacked",
graphOrientation="vertical",
graphType="AreaLine",
lineThickness=3,
lineType="spline",
setMaxX=60,
setMaxX2=60,
smpTextRotate=90,
smpTitle="Month",
xAxis=list("Series A", "Series B", "Series C"),
xAxis2=list("Series D", "Series E"),
xAxis2Show=TRUE,
xAxisShow=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area8-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colors=list("rgb(160,81,149)", "rgb(47,75,124)", "rgb(102,81,145)", "rgb(255,166,0)", "rgb(0,63,92)", "rgb(160,81,149)"),
graphOrientation="vertical",
graphType="AreaLine",
legendPosition="topRight",
lineThickness=3,
lineType="spline",
setMinX=0,
setMinX2=0,
smpTextRotate=90,
smpTitle="Month",
xAxis=list("Series A"),
xAxis2=list("Series D"),
xAxis2Show=TRUE,
xAxis2Title="Value2",
xAxisShow=TRUE,
xAxisTitle="Value"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-area-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
areaType="stacked",
colorScheme="ColorSpectrum",
colorSpectrum=list("blue", "cyan", "yellow", "red"),
graphOrientation="vertical",
graphType="AreaLine",
legendPosition="topRight",
lineThickness=3,
lineType="spline",
smpLabelInterval=20,
smpTextRotate=45,
smpTitle="Year",
subtitle="gcookbook - uspopage",
title="Age distribution of population in the United States",
xAxis=list("<5", "5-14", "15-24", "25-34"),
xAxis2=list("35-44", "45-54", "55-64", ">64"),
xAxis2Show=TRUE,
xAxisShow=TRUE,
xAxisTitle="Number of People (1000's)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-stBarOneSeries-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphOrientation="vertical",
graphType="Bar",
showLegend=FALSE,
smpTextRotate=90,
smpTitle="Categories",
title="Bar graph with a single series",
xAxis=list("Var 1"),
xAxisTitle="Var 1"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-stBarTwoSeries-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
dataTextColor="#FFFFFF",
dataValuesPosition="inside",
graphOrientation="horizontal",
graphType="Bar",
showDataValues=TRUE,
smpTextRotate=90,
smpTitle="Categories",
title="Bar graph showing data values",
xAxis=list("Var 1", "Var 2"),
xAxisTitle="Value"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-stBarThreeSeries-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphOrientation="vertical",
graphType="Bar",
legendColumns=3,
legendPosition="bottom",
smpTextRotate=90,
smpTitle="Categories",
title="Bar graph with multiple series",
xAxis=list("Var 1", "Var 2", "Var 3"),
xAxisTitle="Value"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-iris-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-iris-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
dataTextScaleFontFactor=0.8,
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("Species"),
legendColumns=2,
legendPosition="bottom",
showDataValues=TRUE,
smpTextRotate=90,
smpTitle="Species",
title="Iris flower data set",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-iris-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-iris-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("Species"),
legendColumns=2,
legendPosition="bottom",
smpTextRotate=90,
smpTitle="Species",
splitSamplesBy="Species",
theme="blackAndWhite",
title="Iris flower data set",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
plotByVariable=TRUE,
smpLabelInterval=2,
smpTextRotate=90,
smpTitle="Samples",
title="Data Organized by variables",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-simple-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-simple-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Drug Sensitivity",
decorations=list(line=list(list(align="left", color="rgb(255,0,0)", label="Cutoff", value=50, width=2))),
graphOrientation="vertical",
graphType="Bar",
smpTextRotate=90,
smpTitle="Cell Lines",
title="Sensitivity of cell lines to different drugs",
xAxis=list("V1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-simple-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-simple-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="IC50",
decorations=list(line=list(list(align="left", color="rgb(255,0,0)", label="Cutoff", value=50, width=2))),
graphOrientation="vertical",
graphType="Bar",
smpOverlays=list("Drug Sensitivity"),
smpTextRotate=90,
smpTitle="Cell Lines",
title="Sensitivity of cell lines to different drugs",
xAxis=list("V1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cancerDeathByType2021-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
citation="Data source : IHME, Global Burden of Disease (2024)",
citationScaleFontFactor=0.7,
dataTextColor="#FFFFFF",
dataTextScaleFontFactor=0.8,
dataValuesPosition="inside",
graphOrientation="horizontal",
graphType="Bar",
maxSmpStringLen=50,
showDataValues=TRUE,
showLegend=FALSE,
subtitle=" Estimated number of deaths from different types of cancer per 100,000 people.",
subtitleScaleFontFactor=0.6,
title="Cancer crude death rate by type, World, 2021",
widthFactor=2,
xAxis=list("Number of Deaths per 100000 people"),
xAxisGridMajorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cancerDeathRateByAge-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-cancerDeathRateByAge-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
citation="Data source : WHO Mortality Database (2024)",
citationScaleFontFactor=0.7,
dataTextScaleFontFactor=0.7,
graphOrientation="horizontal",
graphType="Bar",
maxSmpStringLen=50,
motionBy="Year",
showDataValues=TRUE,
showLegend=FALSE,
subtitle="The reported annual death rate from malignant cancers, based on the underlying cause listed on death certificates.\nThis is shown as a rate per 100,000 people in each age group.",
subtitleScaleFontFactor=0.6,
title="Cancer death rate by age group, United States",
widthFactor=2,
xAxis=list(1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021),
xAxisGridMajorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-mpg2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-mpg2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("class"),
showDataValues=TRUE,
showLegend=FALSE,
smpTextRotate=90,
summaryType="count",
theme="ggplot",
title="Counting the number of cars by class",
widthFactor=2,
xAxis=list("displ")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-mpg2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-mpg2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorScheme="GGPlot",
dataTextColor="#FFFFFF",
dataValuesPosition="inside",
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("class"),
showDataValues=TRUE,
showLegend=FALSE,
smpTextRotate=90,
summaryType="sum",
theme="ggplot",
title="Total engine displacement for each class",
widthFactor=2,
xAxis=list("displ")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorScheme="CanvasXpress",
graphType="Bar",
is3DPlot=TRUE,
scatterType="bar",
widthFactor=2.5,
x3DRatio=0.5,
xAxis=list("V1", "V2", "V3", "V4"),
yAxis=list("data"),
zAxis=list("S1", "S2", "S3", "S4", "S5", "S6")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-stacked1-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-stacked1-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
colorBy="GNI",
graphOrientation="vertical",
graphType="Stacked",
groupingFactors=list("continent"),
legendInside=TRUE,
legendPosition="right",
objectBorderColor="rgb(0,0,0)",
smpTextRotate=45,
subtitle="2014 Census",
title="Country Population colored by Gross National Income",
treemapBy=list("ISO3"),
widthFactor=4,
xAxis=list("population")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-swimmer-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-swimmer-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
barType="swimmer",
colorBy="Stage",
colorScheme="CanvasXpress",
graphOrientation="horizontal",
graphType="Bar",
groupingFactors=list("Subject"),
objectColorTransparency=0.5,
smpOverlays=list("Durable"),
swimDurable="Durable",
swimEnd="end",
swimHigh="high",
swimHighCap="High Cap",
swimStart="start",
swimStatus="Status",
title="Tumor Response with Duration by Stage and Month",
xAxis=list("high", "start", "end"),
xAxisTitle="Duration of Treatment in Months"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-swimmer-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-swimmer-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
barType="swimmer",
colorBy="Stage",
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("Subject"),
objectColorTransparency=0.5,
smpOverlayProperties=list(Durable=list(position="bottom"), Response=list(position="bottom", thickness=100, type="Bar")),
smpOverlays=list("Durable", "Response"),
smpTextRotate=90,
swimDurable="Durable",
swimEnd="end",
swimHigh="high",
swimHighCap="High Cap",
swimStart="start",
swimStatus="Status",
title="Tumor Response with Duration by Stage and Month",
xAxis=list("high", "start", "end"),
xAxisTitle="Duration of Treatment in Months"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-audrey2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-audrey2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Result",
colorScheme="Greens",
graphType="Bar",
groupingFactors=list("Award"),
legendColumns=2,
legendPosition="top",
legendTextScaleFontFactor=1.5,
maxSmpStringLen=50,
objectBorderColor="rgb(0,0,0)",
showLegendTitle=FALSE,
smpTextScaleFontFactor=1.5,
stackBy="Result",
summaryType="count",
title="The Awards of Audrey Hepburn",
xAxis=list("Year"),
xAxis2Show=TRUE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-animationMovies-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="solid",
colorScheme="Blues",
colors=list("rgb(75,179,216)"),
fontName="Waltograph",
fontsExternal=list(list(name="Waltograph", url="https://www.canvasxpress.org/assets/fonts/waltograph42.otf")),
graphOrientation="vertical",
graphType="Bar",
marginBottom=50,
marginLeft=50,
marginRight=50,
marginTop=50,
maxTextSize=80,
objectBorderColor="rgba(255,255,255,0)",
plotBackgroundColor="rgb(48,114,148)",
showLegend=FALSE,
smpTextColor="rgb(255,255,255)",
smpTextRotate=90,
smpTextScaleFontFactor=1.5,
title="Animation Movies",
titleAlign="center",
titleColor="rgb(255,255,255)",
titleScaleFontFactor=2.5,
xAxis=list("Total"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-movies-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-movies-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
backgroundType="solid",
barType="bullet",
bulletWidthRatio=1,
colorBy="Color",
colors=list("rgb(250,165,44)", "rgb(254,225,60)", "rgb(253,243,169)"),
fontName="Waltograph",
fontsExternal=list(list(name="Waltograph", url="https://www.canvasxpress.org/assets/fonts/waltograph42.otf")),
graphType="Bar",
marginBottom=50,
marginLeft=50,
marginRight=50,
marginTop=50,
maxTextSize=80,
objectBorderColor="rgba(255,255,255,0)",
plotBackgroundColor="rgb(48,114,148)",
rangeColorTransparency=1,
rangeColors=list("rgb(48,126,164)"),
showLegend=FALSE,
smpTextColor="rgb(255,255,255)",
smpTextScaleFontFactor=2,
title="Friendship, Love, Family",
titleAlign="center",
titleColor="rgb(254,225,60)",
titleScaleFontFactor=2.5,
widthFactor=1.1,
xAxis=list("Topic"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="BarLine",
legendColumns=2,
legendPosition="bottom",
lineThickness=2,
lineType="spline",
showTransition=FALSE,
smpTextRotate=45,
smpTitle="Collection of Samples",
subtitle="Random Data",
title="Bar-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4"),
xAxis2Show=TRUE,
xAxis2TickFormat="%.0f T",
xAxisShow=TRUE,
xAxisTickFormat="%.0f M"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorScheme="CanvasXpress",
coordinateLineColor=TRUE,
graphOrientation="vertical",
graphType="BarLine",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
lineThickness=3,
lineType="spline",
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Bar-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4"),
xAxis2Show=TRUE,
xAxisShow=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="horizontal",
graphType="BarLine",
legendColumns=4,
legendPosition="bottom",
lineThickness=3,
lineType="spline",
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Bar-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4"),
xAxis2Show=TRUE,
xAxisShow=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
graphOrientation="horizontal",
graphType="Boxplot",
groupingFactors=list("dose"),
objectColorTransparency=0.5,
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
boxplotNotched=TRUE,
boxplotWhiskersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
boxplotNotched=TRUE,
boxplotOutliersRatio=3,
boxplotWhiskersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
splitSamplesBy="dose",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
boxplotMean=TRUE,
boxplotMeanColor="rgb(255,215,0)",
boxplotMeanColorBorder="red",
boxplotNotched=TRUE,
boxplotWhiskersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
boxplotMedianColor="red",
boxplotMedianWidth=5,
boxplotNotched=TRUE,
boxplotWhiskersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
boxplotHingeFunction="fivenum",
boxplotNotched=TRUE,
boxplotWhiskersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
jitter=TRUE,
showBoxplotOriginalData=TRUE,
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
binAlignment="center",
binned=TRUE,
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
jitter=FALSE,
showBoxplotOriginalData=TRUE,
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="dose",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=TRUE,
panelBackgroundColor="#E5E5E5",
shapeBy="supp",
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
colorBy="dose",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="dose",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotType="range",
colorBy="dose",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="dose",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
colorBy="dose",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len",
afterRender=list(list("pivotX", list("dose")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotConnect=TRUE,
colorBy="supp",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotConnect=TRUE,
colorBy="supp",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
segregateSamplesBy=list("supp"),
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="supp",
colorScheme="GGPlot",
connectBy="order",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=FALSE,
panelBackgroundColor="#E5E5E5",
segregateSamplesBy=list("supp"),
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose", "order"),
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dataset"),
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
xAxis=list("GATA3", "PTEN", "XBP1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="supp",
colorLegendTitle="supp",
colorScheme="GGPlot",
decorations=list(marker=list(list(color="black", group=0, group2=1, text=0.0191, type="pwc", variable="len", ymax=36, ymin=36), list(color="black", group=2, group2=3, text=0.0031, type="pwc", variable="len", ymax=36, ymin=36), list(color="black", group=4, group2=5, text=1, type="pwc", variable="len", ymax=36, ymin=36), list(color="black", group=0, group2=2, group3=1, group4=3, text="<0.0001", type="pwc", variable="len", ymax=40, ymin=40), list(color="black", group=0, group2=4, group3=1, group4=5, text="<0.0001", type="pwc", variable="len", ymax=44, ymin=44), list(color="black", group=2, group2=4, group3=3, group4=5, text="<0.0001", type="pwc", variable="len", ymax=48, ymin=48))),
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
legendColumns=8,
legendPosition="top",
smpTextRotate=90,
smpTitle="len",
sortOnGrouping="ascending",
theme="GGPlot",
xAxis=list("len")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
boxplotColor="#00AFBB",
decorations=list(marker=list(list(color="black", group=0, group2=1, scope=list("OJ"), text="<0.0002", type="pwc", variable="len", ymax=35.385, ymin=34.494), list(color="black", group=0, group2=2, scope=list("OJ"), text="<0.0001", type="pwc", variable="len", ymax=38.949, ymin=38.058), list(color="black", group=1, group2=2, scope=list("OJ"), text=0.039, type="pwc", variable="len", ymax=42.513, ymin=41.622), list(color="black", group=0, group2=1, scope=list("VC"), text="<0.0001", type="pwc", variable="len", ymax=35.385, ymin=34.494), list(color="black", group=0, group2=2, scope=list("VC"), text="<0.0001", type="pwc", variable="len", ymax=38.949, ymin=38.058), list(color="black", group=1, group2=2, scope=list("VC"), text="<0.0001", type="pwc", variable="len", ymax=42.513, ymin=41.622))),
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
layoutTopology="1X2",
segregateSamplesBy=list("supp"),
smpTextRotate=90,
smpTitle="len",
sortOnGrouping="ascending",
theme="GGPlot",
xAxis=list("len")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-CO2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-CO2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
bubbleLabel="auto",
circularType="bubble",
colorBy="Continent",
graphType="Circular",
hierarchy=list("Country"),
legendColumns=4,
legendPosition="bottom",
theme="paulTol",
title="Annual CO2 Emmisions in 2018",
xAxis=list("CO2")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-CO2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-CO2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
bubbleLabel="auto",
bubbleOutlineColor="rgba(0,0,0,0)",
circularType="bubble",
colorBy="Continent",
colorScheme="Prism",
graphType="Circular",
hierarchy=list("Continent", "Country"),
legendColumns=4,
legendPosition="top",
showLegend=FALSE,
title="Annual CO2 Emmisions in 2018",
xAxis=list("CO2")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-CO2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-CO2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
bubbleColor="rgba(0,0,0,0)",
bubbleLabel="first",
bubbleLabelLineType="arch",
bubbleLabelPosition="top",
bubbleOutlineColor="rgba(0,0,0,0)",
circularType="bubble",
colorBy="Continent",
colorScheme="Viridis",
graphType="Circular",
hierarchy=list("Continent", "Country"),
legendColumns=4,
legendPosition="top",
showLegend=FALSE,
title="Annual CO2 Emmisions in 2018",
xAxis=list("CO2"),
afterRender=list(list("modifyLabelCoordinates", list(list("Central America", -100, 100, true))), list("modifyLabelCoordinates", list(list("South America", 10, -50, true))), list("modifyLabelCoordinates", list(list("North America", 10, -50))))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-CO2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-CO2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
bubbleColor="rgba(0,0,0,0)",
bubbleLabel="first",
bubbleLabelLineType="line",
bubbleLabelPosition="top",
bubbleOutlineColor="rgba(0,0,0,0)",
circularType="bubble",
colorBy="Continent",
colorScheme="Behance",
graphType="Circular",
hierarchy=list("Continent", "Country"),
legendColumns=4,
legendPosition="top",
showLegend=TRUE,
title="Annual CO2 Emmisions in 2018",
xAxis=list("CO2"),
afterRender=list(list("modifyLabelCoordinates", list(list("Central America", -100, 100, true))), list("modifyLabelCoordinates", list(list("South America", 10, -50, true))), list("modifyLabelCoordinates", list(list("North America", 10, -50))))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bullet-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
bulletTargetVarName="V5",
dataTextColor="#000000",
dataValuesPosition="inside",
graphOrientation="horizontal",
graphType="Bullet",
rangeColors=list("#777777", "#AAAAAA", "#DDDDDD"),
rangeStack=list("V2", "V3", "V4"),
showDataValues=TRUE,
showLegend=FALSE,
xAxis=list("V1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bullet-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
bulletTargetVarColor="#3F3F3F",
bulletTargetVarName="V5",
colors=list("#3F3F3F"),
graphOrientation="vertical",
graphType="Bullet",
layoutAdjust=TRUE,
layoutTopology="1X6",
rangeColors=list("#945D55", "#C4A285", "#EBE7DE"),
rangeStack=list("V2", "V3", "V4"),
segregateSamplesBy=list("sample"),
showDataValues=TRUE,
smpTextRotate=90,
stripShow=FALSE,
widthFactor=2,
xAxis=list("V1"),
xAxisTextScaleFontFactor=0.6
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-movies-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-movies-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
backgroundType="solid",
bulletWidthRatio=1,
colorBy="Color",
colors=list("rgb(250,165,44)", "rgb(254,225,60)", "rgb(253,243,169)"),
fontName="Waltograph",
fontsExternal=list(list(name="Waltograph", url="https://www.canvasxpress.org/assets/fonts/waltograph42.otf")),
graphOrientation="vertical",
graphType="Bullet",
marginBottom=0,
marginLeft=50,
marginRight=50,
marginTop=50,
maxTextSize=80,
objectBorderColor="rgba(255,255,255,0)",
plotBackgroundColor="rgb(48,114,148)",
rangeColorTransparency=1,
rangeColors=list("rgb(48,126,164)"),
showLegend=FALSE,
smpTextColor="rgb(255,255,255)",
smpTextRotate=30,
smpTextScaleFontFactor=2,
title="Friendship, Love, Family",
titleAlign="center",
titleColor="rgb(254,225,60)",
titleScaleFontFactor=2.5,
widthFactor=1.1,
xAxis=list("Topic"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bullet2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
bulletTargetVarName="Target",
colors=list("#305DCB", "#E4EFFD", "#ADCFFA", "#73AFF8"),
dataTextColor="#FFFFFF",
dataValuesPosition="inside",
graphOrientation="horizontal",
graphType="Bullet",
rangeColors=list("#73AFF8", "#ADCFFA", "#E4EFFD"),
rangeStack=list("Low", "Average", "High"),
showDataValues=TRUE,
widthFactor=2,
xAxis=list("Value")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bullet3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
barType="bullet",
bulletStyle="roundGradient",
bulletTargetType="openCircle",
bulletTargetVarName="Target",
bulletTargetWidthRatio=0.2,
bulletWidthRatio=0.5,
colors=list("#9422F5"),
dataTextColor="#FFFFFF",
dataTextScaleFontFactor=0.8,
dataValuesPosition="inside",
graphOrientation="horizontal",
graphType="Bullet",
layoutAdjust=TRUE,
layoutSpacing=20,
layoutTopology="3X1",
rangeColors=list("#FFFFFF", "#F2F2F2", "#D8D8D8"),
rangeStack=list("Bad", "Acceptable", "Good"),
rangeStackShow=TRUE,
segregateSamplesBy=list("sample"),
showDataValues=TRUE,
showLegend=FALSE,
showSampleNames=FALSE,
stripBackgroundColor="#FFFFFF",
stripTextAlign="left",
stripTextColor="#000000",
widthFactor=15,
xAxis=list("Value"),
xAxis2Show=TRUE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-chord-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
circularArc=360,
circularRotate=0,
circularType="chord",
colors=list("#000000", "#FFDD89", "#957244", "#F26223"),
graphType="Circular",
higlightGreyOut=TRUE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
objectBorderColor="rgb(0,0,0)",
rAxisTickFormat=list("%sK", " / 1000"),
showTransition=FALSE,
title="Simple Chord Graph",
transitionStep=50,
transitionTime=1500
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-chord-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
chordColor="largest",
circularArc=360,
circularRotate=180,
circularType="chord",
graphType="Circular",
higlightGreyOut=TRUE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
objectBorderColor="rgb(0,0,0)",
rAxisTickFormat=list("%sK", " / 1000"),
showTransition=FALSE,
title="Rotated Chord Graph",
transitionStep=50,
transitionTime=1500
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-chord-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
circularArc=180,
circularRotate=-90,
circularType="chord",
graphType="Circular",
higlightGreyOut=TRUE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
objectBorderColor="rgb(0,0,0)",
rAxisTickFormat=list("%sK", " / 1000"),
showLegend=FALSE,
showTransition=FALSE,
title="Rotated Half Chord Graph",
transitionStep=50,
transitionTime=1500
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-rrobin-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
chordColor="largest",
chordScaleShow=FALSE,
circularArc=360,
circularRotate=180,
circularType="chord",
graphType="Circular",
higlightGreyOut=TRUE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
objectBorderColor="rgb(0,0,0)",
title="Four way Round Robin Tournament"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-circular-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-circular-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-circular-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularConnections=list(list("rgb(255,0,0)", "s1", "s15"), list("rgb(0,255,0)", "s25", "s120"), list("rgb(255,0,0)", "s34", "s2"), list("rgb(255,0,0)", "s47", "s69"), list("rgb(255,0,0)", "s15", "s74"), list("rgb(0,120,0)", "s57", "s87"), list("rgb(255,34,0)", "s54", "s118"), list("rgb(255,0,100)", "s78", "s18"), list("rgb(255,134,0)", "s90", "s48"), list("rgb(120,0,0)", "s120", "s68"), list("rgb(255,0,0)", "s131", "s92"), list("rgb(0,255,0)", "s148", "s119"), list("rgb(0,0,255)", "s10", "s14"), list("rgb(255,0,0)", "s56", "s6"), list("rgb(255,0,0)", "s98", "s90"), list("rgb(255,0,0)", "s113", "s20")),
circularTrackGraphType=list("dot", "heatmap", "bar"),
circularTrackGraphWeight=list(50, 25, 25),
circularTrackName=list(1, 2, 2, 3),
graphType="Circular",
legendColumns=4,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="bottom",
segregateSamplesBy=list("Species"),
smpOverlays=list("Species"),
title="Iris flower data set (1D Circular Plot)",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-circular2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-circular2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-circular2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularConnections=list(list("rgb(0,0,255)", "setosa", 42, "versicolor", 35, 1, 2), list("rgb(0,255,0)", "virginica", 26, "versicolor", 15, 4, 8), list("rgb(120,0,255)", "setosa", 36, "virginica", 5, 6, 9), list("rgb(0,40,255)", "versicolor", 9, "versicolor", 18, 2, 5), list("rgb(80,0,55)", "versicolor", 14, "setosa", 9, 3, 4), list("rgb(0,55,140)", "setosa", 12, "setosa", 41, 5, 2), list("rgb(255,0,0)", "virginica", 25, "setosa", 3, 2, 6)),
circularTrackGraphWeight=list(25, 25, 25, 25),
circularTrackName=list("", "A", "B", "B", "C"),
graphType="Circular",
legendColumns=4,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="bottom",
rAxis="Number",
rAxisPercentShow=FALSE,
segregateSamplesBy=list("Species"),
title="Iris flower data set (2D Circular Plot)",
xAxis=list("Number", "Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-circular-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-circular-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-circular-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularConnections=list(list("rgb(120,0,255)", "s71", "s107"), list("rgb(120,0,255)", "s73", "s107"), list("rgb(120,0,255)", "s84", "s107")),
circularTrackGraphType=list("heatmap"),
colorSmpDendrogramBy="Species",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
samplesClustered=TRUE,
smpDendrogramPosition="outside",
smpOverlays=list("Species"),
title="Iris flower data set (Dendrogram Outside)",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-circular-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-circular-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-circular-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularConnections=list(list("rgb(120,0,255)", "s71", "s107"), list("rgb(120,0,255)", "s73", "s107"), list("rgb(120,0,255)", "s84", "s107")),
circularTrackGraphType=list("heatmap"),
circularTrackOrder=list("labels", "overlays", "dendrogram", "labels", "data"),
colorSmpDendrogramBy="Species",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
samplesClustered=TRUE,
smpDendrogramPosition="inside",
smpOverlays=list("Species"),
title="Iris flower data set (Dendrogram Inside)",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArcSectorSeparation=3,
circularConnections=list(list("rgb(0,0,255)", 1, 17615830, 13, 60500000, 100000000, 20000000), list("rgb(0,255,0)", 1, 2300000, 8, 13650000, 40000000, 80000000), list("rgb(120,0,255)", 3, 71800000, 17, 6800000, 50000000, 25000000), list("rgb(0,40,255)", 7, 71800000, 12, 5520000, 200000000, 80000000), list("rgb(80,0,55)", 4, 8430000, 22, 6600000, 100000000, 50000000), list("rgb(0,55,140)", 4, 3100000, 14, 64100000, 58000000, 10000000), list("rgb(255,0,0)", 2, 94840000, 20, 6243500, 70000000, 30000000)),
colorScheme="Tableau",
colors=list("#332288", "#6699CC", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#661100", "#CC6677", "#AA4466", "#882255", "#AA4499"),
graphType="Circular",
showIdeogram=TRUE,
title="Default Settings",
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40", "V41", "V42", "V43", "V44", "V45", "V46", "V47", "V48", "V49", "V50", "V51", "V52", "V53", "V54", "V55", "V56", "V57", "V58", "V59", "V60", "V61", "V62", "V63", "V64", "V65", "V66", "V67", "V68", "V69", "V70", "V71", "V72", "V73", "V74", "V75", "V76", "V77", "V78", "V79", "V80", "V81", "V82", "V83", "V84", "V85", "V86", "V87", "V88", "V89", "V90", "V91", "V92", "V93", "V94", "V95", "V96", "V97", "V98", "V99", "V100", "V101", "V102", "V103", "V104", "V105", "V106", "V107", "V108", "V109", "V110", "V111", "V112", "V113", "V114", "V115", "V116", "V117", "V118", "V119", "V120", "V121", "V122", "V123", "V124", "V125", "V126", "V127", "V128", "V129", "V130", "V131", "V132", "V133", "V134", "V135", "V136", "V137", "V138", "V139", "V140", "V141", "V142", "V143", "V144", "V145", "V146", "V147", "V148", "V149", "V150", "V151", "V152", "V153", "V154", "V155", "V156", "V157", "V158", "V159", "V160", "V161", "V162", "V163", "V164", "V165", "V166", "V167", "V168", "V169", "V170", "V171", "V172", "V173", "V174", "V175", "V176", "V177", "V178", "V179", "V180", "V181", "V182", "V183", "V184", "V185", "V186", "V187", "V188", "V189", "V190", "V191", "V192", "V193", "V194", "V195", "V196", "V197", "V198", "V199", "V200")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularAnchors2Align="inside",
circularAnchorsAlign="outside",
circularArcSectorSeparation=3,
circularCenterProportion=0.5,
circularConnections=list(list("rgb(0,0,255)", 1, 17615830, 13, 60500000, 100000000, 20000000), list("rgb(0,255,0)", 1, 2300000, 8, 13650000, 40000000, 80000000), list("rgb(120,0,255)", 3, 71800000, 17, 6800000, 50000000, 25000000), list("rgb(0,40,255)", 7, 71800000, 12, 5520000, 200000000, 80000000), list("rgb(80,0,55)", 4, 8430000, 22, 6600000, 100000000, 50000000), list("rgb(0,55,140)", 4, 3100000, 14, 64100000, 58000000, 10000000), list("rgb(255,0,0)", 2, 94840000, 20, 6243500, 70000000, 30000000)),
circularLabelsAlign="inside",
circularTrackGraphType=list("heatmap", "stacked"),
circularTrackOrder=list("chromosomes", "Annt1", "Lev : 1", "anchors", "labels", "ideogram", "anchors2", "Lev : 4"),
colorScheme="Tableau",
colors=list("#332288", "#6699CC", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#661100", "#CC6677", "#AA4466", "#882255", "#AA4499"),
graphType="Circular",
segregateSamplesBy=list("Factor4"),
showIdeogram=TRUE,
title="Custom Plotting Order",
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40", "V41", "V42", "V43", "V44", "V45", "V46", "V47", "V48", "V49", "V50", "V51", "V52", "V53", "V54", "V55", "V56", "V57", "V58", "V59", "V60", "V61", "V62", "V63", "V64", "V65", "V66", "V67", "V68", "V69", "V70", "V71", "V72", "V73", "V74", "V75", "V76", "V77", "V78", "V79", "V80", "V81", "V82", "V83", "V84", "V85", "V86", "V87", "V88", "V89", "V90", "V91", "V92", "V93", "V94", "V95", "V96", "V97", "V98", "V99", "V100", "V101", "V102", "V103", "V104", "V105", "V106", "V107", "V108", "V109", "V110", "V111", "V112", "V113", "V114", "V115", "V116", "V117", "V118", "V119", "V120", "V121", "V122", "V123", "V124", "V125", "V126", "V127", "V128", "V129", "V130", "V131", "V132", "V133", "V134", "V135", "V136", "V137", "V138", "V139", "V140", "V141", "V142", "V143", "V144", "V145", "V146", "V147", "V148", "V149", "V150", "V151", "V152", "V153", "V154", "V155", "V156", "V157", "V158", "V159", "V160", "V161", "V162", "V163", "V164", "V165", "V166", "V167", "V168", "V169", "V170", "V171", "V172", "V173", "V174", "V175", "V176", "V177", "V178", "V179", "V180", "V181", "V182", "V183", "V184", "V185", "V186", "V187", "V188", "V189", "V190", "V191", "V192", "V193", "V194", "V195", "V196", "V197", "V198", "V199", "V200")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-ideogram-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArcSectorRadius=list(1, 1.05, 1.1, 1.15),
circularArcSectorSeparation=3,
circularConnections=list(list("rgb(0,0,255)", 1, 17615830, 13, 60500000, 100000000, 20000000), list("rgb(0,255,0)", 1, 2300000, 8, 13650000, 40000000, 80000000), list("rgb(120,0,255)", 3, 71800000, 17, 6800000, 50000000, 25000000), list("rgb(0,40,255)", 7, 71800000, 12, 5520000, 200000000, 80000000), list("rgb(80,0,55)", 4, 8430000, 22, 6600000, 100000000, 50000000), list("rgb(0,55,140)", 4, 3100000, 14, 64100000, 58000000, 10000000), list("rgb(255,0,0)", 2, 94840000, 20, 6243500, 70000000, 30000000)),
circularTrackGraphType=list("heatmap", "area", "stacked", "dot", "bar"),
circularTrackOrder=list("scale", "ideogram", "labels", "anchors", "Annt2", "Annt1", "Lev : 1", "Lev : 2", "Lev : 3", "Lev : 4"),
colorScheme="Tableau",
colors=list("#332288", "#6699CC", "#88CCEE", "#44AA99", "#117733", "#999933", "#DDCC77", "#661100", "#CC6677", "#AA4466", "#882255", "#AA4499"),
graphType="Circular",
segregateSamplesBy=list("Factor4"),
showIdeogram=TRUE,
title="Custom radi for Chromosomes and Custom Plotting Order",
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40", "V41", "V42", "V43", "V44", "V45", "V46", "V47", "V48", "V49", "V50", "V51", "V52", "V53", "V54", "V55", "V56", "V57", "V58", "V59", "V60", "V61", "V62", "V63", "V64", "V65", "V66", "V67", "V68", "V69", "V70", "V71", "V72", "V73", "V74", "V75", "V76", "V77", "V78", "V79", "V80", "V81", "V82", "V83", "V84", "V85", "V86", "V87", "V88", "V89", "V90", "V91", "V92", "V93", "V94", "V95", "V96", "V97", "V98", "V99", "V100", "V101", "V102", "V103", "V104", "V105", "V106", "V107", "V108", "V109", "V110", "V111", "V112", "V113", "V114", "V115", "V116", "V117", "V118", "V119", "V120", "V121", "V122", "V123", "V124", "V125", "V126", "V127", "V128", "V129", "V130", "V131", "V132", "V133", "V134", "V135", "V136", "V137", "V138", "V139", "V140", "V141", "V142", "V143", "V144", "V145", "V146", "V147", "V148", "V149", "V150", "V151", "V152", "V153", "V154", "V155", "V156", "V157", "V158", "V159", "V160", "V161", "V162", "V163", "V164", "V165", "V166", "V167", "V168", "V169", "V170", "V171", "V172", "V173", "V174", "V175", "V176", "V177", "V178", "V179", "V180", "V181", "V182", "V183", "V184", "V185", "V186", "V187", "V188", "V189", "V190", "V191", "V192", "V193", "V194", "V195", "V196", "V197", "V198", "V199", "V200")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-circularNoData-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-circularNoData-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularArcSectorSeparation=1,
circularConnections=list(list("EA832040", "EA1011925A27"), list("EA832040", "EA832496"), list("EA832040", "EA832497"), list("EA832039", "EA1011925A19"), list("EA832039", "EA832486"), list("EA832039", "EA832492"), list("EA832044", "EA1011925A3"), list("EA832045", "EA1011925A5"), list("EA832048", "EA1011925A10"), list("EA832048", "EA832502"), list("EA832048", "EA832503"), list("EA832051", "EA1011925A9"), list("EA832051", "EA832507"), list("EA832051", "EA832509"), list("EA832050", "EA1011925A12"), list("EA1011925A18", "EA832483"), list("EA1011925A18", "EA832491"), list("EA1011925A19", "EA832039"), list("EA1011925A19", "EA832486"), list("EA1011925A19", "EA832492"), list("EA1011925A23", "EA832484"), list("EA1011925A23", "EA832501"), list("EA1011925A24", "EA832489"), list("EA1011925A25", "EA832498"), list("EA1011925A27", "EA832040"), list("EA1011925A27", "EA832496"), list("EA1011925A27", "EA832497"), list("EA1011925A30", "EA832487"), list("EA1011925A30", "EA832488"), list("EA1011925A1", "EA832521"), list("EA1011925A1", "EA832525"), list("EA1011925A2", "EA832510"), list("EA1011925A2", "EA832511"), list("EA1011925A3", "EA832044"), list("EA1011925A4", "EA832514"), list("EA1011925A4", "EA832515"), list("EA1011925A5", "EA832045"), list("EA1011925A6", "EA832519"), list("EA1011925A7", "EA832508"), list("EA1011925A7", "EA832513"), list("EA1011925A8", "EA836531"), list("EA1011925A8", "EA832504"), list("EA1011925A8", "EA832524"), list("EA1011925A9", "EA832051"), list("EA1011925A9", "EA832507"), list("EA1011925A9", "EA832509"), list("EA1011925A10", "EA832048"), list("EA1011925A10", "EA832502"), list("EA1011925A10", "EA832503"), list("EA1011925A11", "EA832523"), list("EA1011925A12", "EA832050"), list("EA1011925A13", "EA832506"), list("EA1011925A13", "EA832527"), list("EA1011925A14", "EA832520"), list("EA1011925A15", "EA832517"), list("EA1011925A15", "EA832518"), list("EA1011925A16", "EA836533"), list("EA1011925A16", "EA832475"), list("EA1011925A16", "EA832526"), list("EA832475", "EA836533"), list("EA832475", "EA1011925A16"), list("EA832475", "EA832526"), list("EA832476", "EA832480"), list("EA832479", "EA832490"), list("EA832480", "EA832476"), list("EA832481", "EA836505"), list("EA832481", "EA832493"), list("EA832482", "EA832499"), list("EA832483", "EA1011925A18"), list("EA832483", "EA832491"), list("EA832484", "EA1011925A23"), list("EA832484", "EA832501"), list("EA832486", "EA1011925A19"), list("EA832486", "EA832039"), list("EA832486", "EA832492"), list("EA832487", "EA1011925A30"), list("EA832487", "EA832488"), list("EA832488", "EA1011925A30"), list("EA832488", "EA832487"), list("EA832489", "EA1011925A24"), list("EA832490", "EA832479"), list("EA832491", "EA1011925A18"), list("EA832491", "EA832483"), list("EA832492", "EA1011925A19"), list("EA832492", "EA832039"), list("EA832492", "EA832486"), list("EA832493", "EA836505"), list("EA832493", "EA832481"), list("EA832494", "EA832495"), list("EA832495", "EA832494"), list("EA832496", "EA1011925A27"), list("EA832496", "EA832040"), list("EA832496", "EA832497"), list("EA832497", "EA1011925A27"), list("EA832497", "EA832040"), list("EA832497", "EA832496"), list("EA832498", "EA1011925A25"), list("EA832498", "EA832500"), list("EA832499", "EA832482"), list("EA832500", "EA832498"), list("EA832501", "EA1011925A23"), list("EA832501", "EA832484"), list("EA832502", "EA1011925A10"), list("EA832502", "EA832048"), list("EA832502", "EA832503"), list("EA832503", "EA1011925A10"), list("EA832503", "EA832048"), list("EA832503", "EA832502"), list("EA832504", "EA836531"), list("EA832504", "EA1011925A8"), list("EA832504", "EA832524"), list("EA832506", "EA1011925A13"), list("EA832506", "EA832527"), list("EA832507", "EA1011925A9"), list("EA832507", "EA832051"), list("EA832507", "EA832509"), list("EA832508", "EA1011925A7"), list("EA832508", "EA832513"), list("EA832509", "EA1011925A9"), list("EA832509", "EA832051"), list("EA832509", "EA832507"), list("EA832510", "EA1011925A2"), list("EA832510", "EA832511"), list("EA832511", "EA1011925A2"), list("EA832511", "EA832510"), list("EA832513", "EA1011925A7"), list("EA832513", "EA832508"), list("EA832514", "EA1011925A4"), list("EA832514", "EA832515"), list("EA832515", "EA1011925A4"), list("EA832515", "EA832514"), list("EA832517", "EA1011925A15"), list("EA832517", "EA832518"), list("EA832518", "EA1011925A15"), list("EA832518", "EA832517"), list("EA832519", "EA1011925A6"), list("EA832520", "EA1011925A14"), list("EA832521", "EA1011925A1"), list("EA832521", "EA832525"), list("EA832523", "EA1011925A11"), list("EA832524", "EA836531"), list("EA832524", "EA1011925A8"), list("EA832524", "EA832504"), list("EA832525", "EA1011925A1"), list("EA832525", "EA832521"), list("EA832526", "EA836533"), list("EA832526", "EA1011925A16"), list("EA832526", "EA832475"), list("EA832527", "EA1011925A13"), list("EA832527", "EA832506"), list("EA836488", "EA836513"), list("EA836488", "EA836514"), list("EA836494", "EA836528"), list("EA836494", "EA836529"), list("EA836492", "EA836493"), list("EA836496", "EA836535"), list("EA836496", "EA836536"), list("EA836493", "EA836492"), list("EA836533", "EA836534"), list("EA836533", "EA1011925A16"), list("EA836533", "EA832475"), list("EA836533", "EA832526"), list("EA836501", "EA836502"), list("EA836497", "EA836498"), list("EA836502", "EA836501"), list("EA836505", "EA832481"), list("EA836505", "EA832493"), list("EA836503", "EA836510"), list("EA836507", "EA836508"), list("EA836517", "EA836518"), list("EA836511", "EA836512"), list("EA836515", "EA836516"), list("EA836516", "EA836515"), list("EA836498", "EA836497"), list("EA836508", "EA836507"), list("EA836512", "EA836511"), list("EA836499", "EA836500"), list("EA836500", "EA836499"), list("EA836513", "EA836488"), list("EA836513", "EA836514"), list("EA836514", "EA836488"), list("EA836514", "EA836513"), list("EA836509", "EA836504"), list("EA836510", "EA836503"), list("EA836504", "EA836509"), list("EA836518", "EA836517"), list("EA836528", "EA836494"), list("EA836528", "EA836529"), list("EA836529", "EA836494"), list("EA836529", "EA836528"), list("EA836530", "EA836531"), list("EA836526", "EA836527"), list("EA836535", "EA836496"), list("EA836535", "EA836536"), list("EA836523", "EA836524"), list("EA836536", "EA836496"), list("EA836536", "EA836535"), list("EA836539", "EA836540"), list("EA836540", "EA836539"), list("EA836524", "EA836523"), list("EA836521", "EA836522"), list("EA836522", "EA836521"), list("EA836537", "EA836538"), list("EA836538", "EA836537"), list("EA836531", "EA836530"), list("EA836531", "EA1011925A8"), list("EA836531", "EA832504"), list("EA836531", "EA832524"), list("EA836534", "EA836533"), list("EA836527", "EA836526")),
circularLabelsAlign="inside",
circularTrackOrder=list("subject", "labels", "sample"),
colorScheme="Favorite",
graphType="Circular",
overlayLevelOrientation="perpendicular",
overlayScaleFontFactor=1,
segregateSamplesBy=list("subject"),
showLegend=FALSE,
smpTextScaleFontFactor=0.3,
xAxis=list("var1"),
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-volcano-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Heatmap",
heatmapCellBox=FALSE,
showContourLevel=TRUE,
showSampleNames=FALSE,
showVariableNames=FALSE,
subtitle="datasets - volcano",
title="Topographic Information on Auckland's Maunga Whau Volcano",
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40", "V41", "V42", "V43", "V44", "V45", "V46", "V47", "V48", "V49", "V50", "V51", "V52", "V53", "V54", "V55", "V56", "V57", "V58", "V59", "V60", "V61"),
afterRender=list(list("createContour"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-contour-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
contourType="normal",
graphType="Heatmap",
heatmapCellBox=FALSE,
showSampleNames=FALSE,
showVariableNames=FALSE,
title="Basic Contour Plot",
xAxis=list("v1", "v2", "v3", "v4", "v5"),
afterRender=list(list("createContour"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-contour2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
contourFilled=TRUE,
graphType="ScatterBubble2D",
showContourLevel=TRUE,
title="Basic Contour Plot",
xAxis=list("s1"),
yAxis=list("s2"),
zAxis=list("s3"),
afterRender=list(list("createContour"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-contour3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
contourFilled=TRUE,
contourType="normal",
graphType="ScatterBubble2D",
title="Custom Contour Plot",
xAxis=list("s1"),
yAxis=list("s2"),
zAxis=list("s3"),
afterRender=list(list("createContour"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-contour4-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
contourType="normal",
graphType="Heatmap",
heatmapCellBox=FALSE,
lineType="spline",
showContourLevel=FALSE,
showSampleNames=FALSE,
showVariableNames=FALSE,
xAxis=list("v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8"),
afterRender=list(list("createContour"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-contourdensity-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Contour",
showContourDataPoints=TRUE,
showContourLevel=FALSE,
xAxis=list("eruptions"),
yAxis=list("waiting")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
correlationAxis="samples",
graphType="Correlation",
title="Correlation Plot",
xAxis=list("V1", "V2", "V3", "V4"),
yAxisTitle="Correlation Title"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
correlationAxis="samples",
correlationType="circle",
graphType="Correlation",
title="Correlation Plot",
xAxis=list("V1", "V2", "V3", "V4"),
yAxisTitle="Correlation Title"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
correlationAnchorLegend=TRUE,
correlationAnchorLegendAlignWidth=20,
correlationAxis="variables",
graphType="Correlation",
title="Correlation Plot",
xAxis=list("V1", "V2", "V3", "V4"),
yAxisTitle="Correlation Title"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-mtcarst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Heatmap",
title="Heatmap - Correlation",
xAxis=list("mpg", "cyl", "disp", "hp", "drat", "wt", "qsec", "vs", "am", "gear", "carb"),
afterRender=list(list("createHeatmapCorrelation"), list("clusterVariables"), list("clusterSamples"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-titanic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-titanic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Bar",
groupingFactors=list("Pclass"),
histogramBins=FALSE,
stackBy="Survived",
summaryType="count",
theme="lastAirBenderFire",
xAxis=list("Age"),
afterRender=list(list("createHistogram"), list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-mpg2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-mpg2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("model"),
histogramBins=FALSE,
histogramType="stacked",
theme="gameOfThronesStannis",
xAxis=list("displ", "cyl", "cty", "hwy"),
afterRender=list(list("createHistogram"), list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scents-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-scents-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Boxplot",
histogramBins=FALSE,
showTransition=FALSE,
smpTextRotate=90,
smpTitle="Smoking Status",
theme="lastAirBenderWater",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3", "S-Trial 1", "S-Trial 2", "S-Trial 3"),
afterRender=list(list("groupSamples", list("Smoker")), list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-body2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-body2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
histogramBins=FALSE,
showTransition=FALSE,
xAxis=list("Weight"),
yAxis=list("Height"),
afterRender=list(list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-kaplanmeier3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-kaplanmeier3-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
invertCensored=TRUE,
showConfidenceIntervals=FALSE,
showDecorations=TRUE,
showLegend=FALSE,
theme="gameOfThronesTargaryen",
xAxis=list("Survival"),
yAxis=list("Survival-Censor"),
afterRender=list(list("switchSmpToAnnotation", list('Age')), list("switchSmpToAnnotation", list('Clin2')), list("switchSmpToAnnotation", list('Clin3')), list("addKMPlot"), list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bc-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
asDOE=TRUE,
colorBy="Stay Home Sick",
graphType="Map",
histogramBins=FALSE,
layoutConfig=list(list(size="2X2")),
legendPosition="top",
mapId="bc",
mapPropertyId="LOCAL_HLTH_AREA_CODE",
topoJSON="https://www.canvasxpress.org/data/json/bc.json",
xAxis=list("No Preventive Actions", "Physical Distancing", "Stay Home Sick")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="count",
showHistogram=TRUE,
showHistogramDensity=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
densityPosition="normal",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="density",
showFilledHistogramDensity=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
densityPosition="stacked",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="density",
showFilledHistogramDensity=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
densityPosition="filled",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="density",
showFilledHistogramDensity=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
densityPosition="stacked",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="count",
showFilledHistogramDensity=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=TRUE,
showFilledHistogramDensity=TRUE,
showHistogram=TRUE,
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=TRUE,
showFilledHistogramDensity=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-density-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=FALSE,
histogramBins=20,
showFilledHistogramDensity=TRUE,
showHistogram="sex",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-density2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-density2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphType="Scatter2D",
hideHistogram=FALSE,
histogramBins=20,
histogramStat="count",
showFilledHistogramDensity=TRUE,
showHistogramBars=TRUE,
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
xAxis=list("Weight-Fem"),
xAxisHistogramHeight=150,
xAxisHistogramShow=TRUE,
yAxis=list("Weight-Mas"),
yAxisHistogramHeight=150,
yAxisHistogramShow=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="count",
showFilledHistogramDensity=TRUE,
showHistogram=TRUE,
showHistogramDensity=TRUE,
showHistogramMedian=FALSE,
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Species",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="count",
segregateVariablesBy=list("Species"),
showFilledHistogramDensity=TRUE,
showHistogram="Species",
showHistogramDensity=TRUE,
showHistogramMedian=FALSE,
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="count",
segregateSamplesBy=list("sample"),
showFilledHistogramDensity=TRUE,
showHistogram="sample",
showHistogramDensity=TRUE,
showHistogramMedian=FALSE,
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Species",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramStat="count",
segregateSamplesBy=list("sample"),
showFilledHistogramDensity=TRUE,
showHistogram="Species",
showHistogramDensity=TRUE,
showHistogramMedian=FALSE,
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularArc=360,
circularRotate=0,
circularType="sunburst",
colorBy="Month",
colorScheme="Bootstrap",
graphType="Circular",
hierarchy=list("Month"),
objectBorderColor="rgb(0,0,0)",
showTransition=FALSE,
title="Simple Donnut",
transitionStep=50,
transitionTime=1500,
xAxis=list("Sales")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularArc=360,
circularRotate=0,
circularType="sunburst",
colorBy="Quarter",
colorScheme="RdYlBu",
graphType="Circular",
hierarchy=list("Quarter", "Month"),
objectBorderColor="rgb(0,0,0)",
showTransition=FALSE,
title="Donnut with two levels",
transitionStep=50,
transitionTime=1500,
xAxis=list("Sales")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="DotLine",
legendColumns=2,
legendPosition="bottom",
lineThickness=2,
lineType="spline",
smpTextRotate=45,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Dot-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4"),
xAxisGridMajorColor="rgb(0,0,0)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
coordinateLineColor=TRUE,
graphOrientation="vertical",
graphType="DotLine",
lineThickness=3,
lineType="spline",
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Dot-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
coordinateLineColor=TRUE,
graphOrientation="horizontal",
graphType="DotLine",
legendColumns=2,
legendPosition="bottom",
lineThickness=3,
lineType="spline",
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Dot-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Dotplot",
lineType="spline",
showSmpOverlaysLegend=TRUE,
smpOverlayProperties=list(Factor4=list(color="blue", showLegend=1, thickness=50, type="Bar"), Factor5=list(color="grey", showLegend=1, thickness=50, type="Bar"), Factor6=list(color="red", showLegend=1, thickness=50, type="Bar")),
smpOverlays=list("Factor1", "Factor2", "Factor3", "Factor4", "Factor5", "Factor6"),
smpTextRotate=45,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Dotplot Graph",
xAxis=list("V1", "V2", "V3", "V4"),
xAxisTickFormat="%.0f Mil."
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-iris-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-iris-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisTextFontStyle="bold",
axisTitleFontStyle="italic",
citation="R. A. Fisher (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics 7 (2) => 179-188.",
citationFontStyle="italic",
fontStyle="italic",
graphOrientation="vertical",
graphType="Dotplot",
jitter=TRUE,
marginBottom=30,
smpTextFontStyle="italic",
smpTextRotate=90,
smpTitle="Species",
title="Iris flower data set",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width"),
xAxis2Show=FALSE,
afterRender=list(list("groupSamples", list("Species")), list("segregateSamples", list("Species")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cars-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-cars-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
citation="Henderson, H. V. and Velleman, P. F. (1981), Building Regression Models Interactively. Biometrics, 37, 391-411.",
citationFontStyle="italic",
graphType="Dotplot",
jitter=TRUE,
legendColumns=2,
legendInside=TRUE,
legendPosition="bottomRight",
showErrorBars=FALSE,
title="Measurements on 38 1978-79 model automobiles.\nThe gas mileage in miles per gallon as measured by Consumers Union on a test track.",
xAxis=list("MPG", "Weight", "Drive_Ratio", "Horsepower", "Displacement", "Cylinders"),
afterRender=list(list("groupSamples", list("Country")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
axisAlgorithm="wilkinson",
dataPointSizeScaleFactor=3,
dataTextScaleFontFactor=0.6,
dotplotType="stacked",
graphType="Dotplot",
plotStyle="open",
showDataValues=TRUE,
smpTitle="School",
sortDir="descending",
title="Gender Earnings Disparity",
xAxis=list("Women", "Men"),
xAxis2Title="Annual Salary",
xAxisGridMinorShow=FALSE,
xAxisTickFormat="$%sK",
xAxisTitle="Annual Salary",
afterRender=list(list("sortSamplesByVariable", list("Men")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
binned=TRUE,
errorBarsColor="red",
errorBarsType="standardDeviation",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dose"),
jitter=FALSE,
showLegend=FALSE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
binned=TRUE,
colorBy="dose",
colorScheme="GGPlot",
errorBarsColor="red",
errorBarsType="standardDeviation",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dose"),
jitter=FALSE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
shapeBy="supp",
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
binned=TRUE,
colorBy="dose",
colorScheme="Blues",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=FALSE,
objectBorderColor="rgba(0,0,0)",
panelBackgroundColor="#E5E5E5",
showErrorBars=FALSE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
binned=TRUE,
colorBy="dose",
colorScheme="Blues",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=FALSE,
objectBorderColor="rgba(0,0,0)",
panelBackgroundColor="#E5E5E5",
showErrorBars=FALSE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
splitSamplesBy="supp",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
binned=TRUE,
colorBy="dose",
colorScheme="Blues",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=FALSE,
objectBorderColor="rgba(0,0,0)",
panelBackgroundColor="#E5E5E5",
showErrorBars=FALSE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
binned=TRUE,
colorBy="dose",
colorScheme="Blues",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=FALSE,
objectBorderColor="rgba(0,0,0)",
panelBackgroundColor="#E5E5E5",
segregateSamplesBy=list("supp"),
showErrorBars=FALSE,
showLegend=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
binned=TRUE,
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dataset"),
histogramBins=150,
jitter=FALSE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
xAxis=list("GATA3", "PTEN", "XBP1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-lotr-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-lotr-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
backgroundImage="https://www.canvasxpress.org/assets/images/lotr-background.png",
backgroundType="image",
colorBy="Character",
colors=list("rgb(45,24,18)", "rgb(95,50,31)", "rgb(22,25,16)", "rgb(56,54,25)", "rgb(165,113,76)", "rgb(116,50,36)", "rgb(170,99,47)", "rgb(195,152,60)", "rgb(0,0,0)"),
dotplotOutlineThreshold=1,
dotplotType="transition",
fontName="Bilbo",
fonts=list("Bilbo"),
graphOrientation="horizontal",
graphType="Dotplot",
groupingFactors=list("Character"),
images=list("https://www.canvasxpress.org/assets/images/Frodo.png", "https://www.canvasxpress.org/assets/images/Gandalf.png", "https://www.canvasxpress.org/assets/images/Merry.png", "https://www.canvasxpress.org/assets/images/Pippin.png", "https://www.canvasxpress.org/assets/images/Sam.png", "https://www.canvasxpress.org/assets/images/Aragorn.png", "https://www.canvasxpress.org/assets/images/Boromir.png", "https://www.canvasxpress.org/assets/images/Gimli.png", "https://www.canvasxpress.org/assets/images/Legolas.png"),
layoutAdjust=TRUE,
layoutTopology="1X3",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
marginBottom=80,
marginLeft=60,
marginRight=60,
marginTop=180,
maxFontSize=40,
objectColorTransparency=0.85,
segregateSamplesBy=list("Film"),
showErrorBars=FALSE,
showLegend=FALSE,
sizeBy="Words",
sizeByContinuous=TRUE,
sizeByShowLegend=FALSE,
sizes=list(5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55),
smpLabelImage=TRUE,
smpLabelImageRound=TRUE,
smpTextScaleFontFactor=0.9,
sortData=list(list("cat", "smp", "Character"), list("cat", "smp", "Chapter Name")),
stripBackgroundBorderColor="rgba(0,0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextFontStyle="bold",
stripTextScaleFontFactor=1.2,
title="Words per Chapter by Character",
titleAlign="center",
titleFontStyle="bold",
titleScaleFontFactor=1.6,
xAxis=list("Chapter"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-audrey-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-audrey-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
backgroundImage="https://www.canvasxpress.org/assets/images/Audrey.jpg",
backgroundType="image",
colorBy="Type",
colorScheme="Greens",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("Year"),
isGraphTime=TRUE,
jitter=FALSE,
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=2,
legendTitleScaleFontFactor=2,
marginLeft=150,
marginRight=150,
objectBorderColor="rgba(0,0,0)",
showErrorBars=FALSE,
showLegendTitle=FALSE,
smpLabelInterval=1,
smpTextRotate=90,
timeFormat="year",
title="The Life and Films of Audrey Hepburn",
xAxis=list("Number"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-audrey2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-audrey2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Result",
colorScheme="Greens",
graphType="Dotplot",
groupingFactors=list("Award"),
jitter=FALSE,
legendColumns=2,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
maxSmpStringLen=50,
objectBorderColor="rgba(0,0,0)",
showErrorBars=FALSE,
showLegendTitle=FALSE,
title="The Awards of Audrey Hepburn",
xAxis=list("Year"),
xAxis2Show=TRUE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-timeliner-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-timeliner-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Color",
colorScheme="LastAirBenderWater",
decorations=list(line=list(list(align="left", color="rgba(0,0,0,0.5)", value=1, width=1))),
graphOrientation="vertical",
graphType="Dotplot",
isGraphTime=TRUE,
marginLeft=70,
marginRight=70,
objectColorTransparency=0.6,
showLegend=FALSE,
sizeBy="Size",
sizes=list(5, 15, 25, 35, 70, 150),
smpLabelInterval=4,
smpTextRotate=90,
timeFormat="isoDate",
xAxis=list("Unit"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colors=list("grey", "blue", "pink"),
graphType="Dumbbell",
legendColumns=2,
legendPosition="bottom",
sortDir="ascending",
title="Age Range by Gender",
xAxis=list("Female", "Male"),
xAxis2Show=TRUE,
xAxisShow=FALSE,
xAxisTitle2="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colors=list("grey", "blue", "pink"),
dataPointSizeScaleFactor=3.5,
dataTextScaleFontFactor=0.6,
graphOrientation="vertical",
graphType="Dumbbell",
highlightSmp=list("Russia"),
legendColumns=2,
legendPosition="bottom",
plotStyle="open",
showDataValues=TRUE,
smpTextRotate=30,
sortDir="ascending",
subtitle="The age difference between men and women is largest in Russia",
title="Age Range by Gender",
titleFontStyle="bold",
xAxis=list("Female", "Male"),
xAxisTitle="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
dataPointSizeScaleFactor=3,
dataTextScaleFontFactor=0.5,
dumbbellType="connected",
graphOrientation="horizontal",
graphType="Dumbbell",
legendColumns=2,
legendPosition="bottom",
plotStyle="open",
showDataValues=TRUE,
sortDir="ascending",
theme="wallStreetJournal",
title="Age Range by Gender",
titleFontStyle="bold",
xAxis=list("Female", "Male"),
xAxisTitle="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
dumbbellType="cleveland",
graphOrientation="vertical",
graphType="Dumbbell",
legendColumns=3,
legendPosition="top",
smpTextRotate=30,
sortDir="ascending",
title="Age Range by Gender",
titleFontStyle="bold",
xAxis=list("Female", "Male", "Combined"),
xAxisTitle="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
dataPointSizeScaleFactor=3,
dataTextScaleFontFactor=0.5,
dumbbellType="bullet",
graphOrientation="horizontal",
graphType="Dumbbell",
legendColumns=2,
legendPosition="bottom",
plotStyle="open",
showDataValues=TRUE,
sortDir="ascending",
title="Age Range by Gender",
titleFontStyle="bold",
xAxis=list("Female", "Male"),
xAxisTitle="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colors=list("grey", "blue", "pink"),
dumbbellType="arrow",
graphType="Dumbbell",
legendColumns=2,
legendPosition="bottom",
sortDir="ascending",
title="Age Range by Gender",
xAxis=list("Female", "Male"),
xAxis2Show=TRUE,
xAxisShow=FALSE,
xAxisTitle2="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colors=list("grey", "blue", "pink"),
dumbbellType="line",
graphType="Dumbbell",
legendColumns=2,
legendPosition="bottom",
sortDir="ascending",
title="Age Range by Gender",
xAxis=list("Female", "Male"),
xAxis2Show=TRUE,
xAxisShow=FALSE,
xAxisTitle2="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dumbbell2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colors=list("grey", "blue", "pink"),
connectByColor="#ffffff",
dataPointSizeScaleFactor=3,
dumbbellType="lineConnected",
graphOrientation="vertical",
graphType="Dumbbell",
legendColumns=2,
legendPosition="bottom",
smpTextRotate=30,
sortDir="ascending",
theme="wallStreetJournal",
title="Age Range by Gender",
xAxis=list("Female", "Male"),
xAxisTitle="Age"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
layoutCollapse=FALSE,
layoutType="rows",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("V1", "V2", "V3", "V4"),
afterRender=list(list("segregateVariables", list("Annt2")), list("segregateSamples", list("Factor1")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="horizontal",
graphType="Bar",
layoutCollapse=TRUE,
layoutType="rows",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("V1", "V2", "V3", "V4"),
afterRender=list(list("segregateSamples", list("Factor1")), list("segregateVariables", list("Annt2")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
layoutCollapse=FALSE,
layoutType="cols",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("V1", "V2", "V3", "V4"),
afterRender=list(list("segregateVariables", list("Annt2")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
layoutCollapse=FALSE,
layoutType="wrap",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
xAxis=list("V1", "V2", "V3", "V4"),
afterRender=list(list("segregateVariables", list("Annt2")), list("segregateSamples", list("Factor1")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scentst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scentst-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
layoutCollapse=FALSE,
layoutType="cols",
legendBox=TRUE,
shapeBy="Age",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="Floral scent data set",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3"),
yAxis=list("S-Trial 1", "S-Trial 2", "S-Trial 3"),
afterRender=list(list("segregateVariables", list(list("Opinion", "Sex"))))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scentst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scentst-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
layoutCollapse=FALSE,
layoutType="rows",
legendBox=TRUE,
shapeBy="Age",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="Floral scent data set",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3"),
yAxis=list("S-Trial 1", "S-Trial 2", "S-Trial 3"),
afterRender=list(list("segregateVariables", list(list("Opinion", "Sex"))))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scentst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scentst-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
layoutCollapse=FALSE,
layoutType="wrap",
legendBox=TRUE,
shapeBy="Age",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="Floral scent data set",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3"),
yAxis=list("S-Trial 1", "S-Trial 2", "S-Trial 3"),
afterRender=list(list("segregateVariables", list(list("Opinion", "Sex"))))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scentst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scentst-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
layoutCollapse=TRUE,
layoutType="cols",
legendBox=TRUE,
shapeBy="Age",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="Floral scent data set",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3"),
yAxis=list("S-Trial 1", "S-Trial 2", "S-Trial 3"),
afterRender=list(list("segregateVariables", list("Opinion")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-fish-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panel",
colors=list("rgb(136,136,136)", "rgb(239,0,0)", "rgb(255,96,0)", "rgb(255,207,0)", "rgb(191,255,64)", "rgb(80,255,175)", "rgb(0,223,255)", "rgb(0,112,255)", "rgb(0,0,255)", "rgb(0,0,143)"),
fishAxis=list(0, 150),
fishParents=list(0, 1, 1, 3),
fishShape="spline",
fishTimepoints=list(0, 30, 75, 150),
graphType="Fish",
legendColumns=4,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="bottom",
panelBackgroundColor="#ffe4c4",
title="Sample1",
xAxis=list("Founding", "Subclone 1", "Subclone 2", "Subclone 3")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-fish2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panelSolidGradient",
colorSpectrum=list("bisque", "darkgoldenrod1", "darkorange3"),
colors=list("rgb(136,136,136)", "rgb(239,0,0)", "rgb(255,96,0)", "rgb(255,207,0)", "rgb(191,255,64)", "rgb(80,255,175)", "rgb(0,223,255)", "rgb(0,112,255)", "rgb(0,0,255)", "rgb(0,0,143)"),
fishAxis=list(0, 423),
fishCloneLabels=list("DNMT3A,FLT3", "NPM1", "MET", "ETV6,WNK1-WAC,\nMYO18B"),
fishParents=list(0, 1, 1, 3),
fishShape="spline",
fishTimepoints=list(0, 30, 200, 423),
gradientOrientation="horizontal",
graphType="Fish",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
varTextColor="green",
varTextRotate=30,
xAxis=list("C1", "C2", "C3", "C4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-fish3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panelSolidGradient",
colorSpectrum=list("#ffe4c4", "#ffb90f", "#cd6600"),
colors=list("#1B9E77", "#D95F02", "#7570B3", "#E7298A"),
fishAxis=list(0, 120),
fishAxisLabels=list("Primary", "Post-AI"),
fishParents=list(0, 1, 2, 1),
fishShape="polygon",
fishTimepoints=list(0, 120),
gradientOrientation="horizontal",
graphType="Fish",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
title="BRC32",
xAxis=list("S1", "S2", "S3", "S4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-fish4-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panelSolidGradient",
colorSpectrum=list("#ffe4c4", "#ffb90f", "#cd6600"),
colors=list("#888888", "#EF0000", "#8FFF40", "#FF6000", "#50FFAF", "#FFCF00", "#0070FF"),
fishAxis=list(0, 34, 69, 187, 334, 505, 530, 650, 750),
fishParents=list(0, 1, 1, 1, 3, 4, 0),
fishSeparateIndependentClones=TRUE,
fishShape="spline",
fishTimepoints=list(0, 34, 69, 187, 334, 505, 530),
gradientOrientation="horizontal",
graphType="Fish",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
xAxis=list("C1", "C2", "C3", "C4", "C5", "C6", "C7")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-fish-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panel",
colors=list("rgb(136,136,136)", "rgb(239,0,0)", "rgb(255,96,0)", "rgb(255,207,0)", "rgb(191,255,64)", "rgb(80,255,175)", "rgb(0,223,255)", "rgb(0,112,255)", "rgb(0,0,255)", "rgb(0,0,143)"),
fishAxis=list(0, 150),
fishCloneLabels=list("TP53,MET", "NF1", "", "8q+,6p-"),
fishParents=list(0, 1, 1, 3),
fishShape="spline",
fishTimepoints=list(0, 30, 75, 150),
graphType="Fish",
legendColumns=4,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="bottom",
panelBackgroundColor="#ffe4c4",
xAxis=list("Founding", "Subclone 1", "Subclone 2", "Subclone 3")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-gantt-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
blockContrast=TRUE,
ganttEnd="End",
ganttStart="Start",
graphType="Gantt",
xAxis=list("Start", "End")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-gantt2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-gantt2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
ganttCompletion="Completion",
ganttEnd="End",
ganttStart="Start",
graphType="Gantt",
xAxis=list("Start", "End")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-gantt2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-gantt2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
blockContrast=TRUE,
colorBy="Clinical Trial",
ganttCompletion="Completion",
ganttEnd="End",
ganttStart="Start",
graphType="Gantt",
groupingFactors=list("Clinical Trial"),
xAxis=list("Start", "End")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-gantt2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-gantt2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
blockContrast=TRUE,
colorBy="Indication",
ganttCompletion="Completion",
ganttDependency="Dependencies",
ganttEnd="End",
ganttStart="Start",
graphType="Gantt",
xAxis=list("Start", "End")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-gantt3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-gantt3-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
blockContrast=TRUE,
colorBy="Indication",
ganttCompletion="Completion",
ganttDependency="Dependencies",
ganttEnd="End",
ganttStart="Start",
graphType="Gantt",
groupingFactors=list("Clinical Trial"),
xAxis=list("Start", "End", "Milestone")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-gantt3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-gantt3-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
blockContrast=TRUE,
colorBy="Clinical Trial",
ganttCompletion="Completion",
ganttDependency="Dependencies",
ganttDependencyColor="DependencyColor",
ganttDependencyEnd="DependencyEnd",
ganttDependencyThickness="DependencyThickness",
ganttEnd="End",
ganttStart="Start",
graphType="Gantt",
groupingFactors=list("Clinical Trial"),
patternBy="Indication",
xAxis=list("Start", "End", "Milestone")
)
library(canvasXpress)
library(jsonlite)
genome <- read_json("https://www.canvasxpress.org/data/r/cX-genomesimple.json")
canvasXpress(
data=genome,
background="rgb(245,245,245)",
graphType="Genome",
setMax=30,
setMin=0
)
library(canvasXpress)
library(jsonlite)
genome <- read_json("https://www.canvasxpress.org/data/r/cX-genomeintermediate.json")
canvasXpress(
data=genome,
background="rgb(245,245,245)",
graphType="Genome",
setMax=30,
setMin=0
)
library(canvasXpress)
library(jsonlite)
genome <- read_json("https://www.canvasxpress.org/data/r/cX-genomeadvanced.json")
canvasXpress(
data=genome,
background="rgb(245,245,245)",
dataPointSize=5,
featureStaggered=TRUE,
graphType="Genome"
)
library(canvasXpress)
library(jsonlite)
genome <- read_json("https://www.canvasxpress.org/data/r/cX-genomeideogram.json")
canvasXpress(
data=genome,
background="rgb(245,245,245)",
graphType="Genome",
ideogramShowFullChromosome=TRUE,
showIdeogram=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSpectrum=list("navy", "white", "firebrick3"),
graphType="Heatmap",
title="Simple Heatmap",
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSpectrum=list("navy", "white", "firebrick3"),
graphType="Heatmap",
heatmapCellBoxColor="rgb(255,255,255)",
samplesClustered=TRUE,
title="Clustered data",
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSpectrum=list("blue", "white", "red"),
colorSpectrumBreaks=list(1, 2, 10),
graphType="Heatmap",
heatmapCellBoxColor="rgb(255,255,255)",
samplesClustered=TRUE,
showSmpDendrogram=FALSE,
showVarDendrogram=FALSE,
title="Custom color breaks",
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSpectrum=list("magenta", "blue", "black", "red", "gold"),
graphType="Heatmap",
heatmapCellBox=FALSE,
samplesClustered=TRUE,
showSmpDendrogram=FALSE,
showVarDendrogram=FALSE,
title="Cluster Heatmap Without Trees",
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSpectrum=list("magenta", "blue", "black", "red", "gold"),
colorSpectrumZeroValue=0,
graphType="Heatmap",
samplesClustered=TRUE,
showSmpDendrogram=FALSE,
showVarDendrogram=FALSE,
title="Symetrical Colors in Heatmap",
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSmpDendrogramBy="Treatment",
colorSpectrum=list("magenta", "blue", "black", "red", "gold"),
colorSpectrumZeroValue=0,
graphType="Heatmap",
heatmapIndicatorHeight=60,
heatmapIndicatorHistogram=TRUE,
heatmapIndicatorPosition="topLeft",
heatmapIndicatorWidth=120,
samplesClustered=TRUE,
smpOverlayProperties=list(V1=list(color="brown", position="right", thickness=120, type="Boxplot"), V11=list(color="green", position="right", thickness=120, type="Boxplot"), V35=list(color="purple", position="right", thickness=120, type="Boxplot")),
smpOverlays=list("V1", "V11", "V35"),
title="R Heatmap",
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSmpDendrogramBy="Treatment",
colorSpectrum=list("magenta", "blue", "black", "red", "gold"),
colorSpectrumZeroValue=0,
graphType="Heatmap",
heatmapIndicatorHeight=60,
heatmapIndicatorHistogram=TRUE,
heatmapIndicatorPosition="topLeft",
heatmapIndicatorWidth=120,
samplesClustered=TRUE,
smpOverlays=list("Treatment", "Site"),
splitSamplesBy="Treatment",
title="Overlays in Heatmap",
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorSpectrum=list("magenta", "blue", "black", "red", "gold"),
colorSpectrumZeroValue=0,
graphType="Heatmap",
heatmapIndicatorHeight=100,
heatmapIndicatorHistogram=TRUE,
heatmapIndicatorPosition="topLeft",
heatmapIndicatorWidth=120,
highlightSmp=list("S1", "S2", "S3", "S4", "S5"),
highlightVar=list("V18", "V19", "V20"),
samplesClustered=TRUE,
smpOverlays=list("Treatment", "Site"),
title="Highlight cells in Heatmap",
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorKey=list(Sens=list("white", "green"), Site="GnBu", Treatment="RdPu", Type="YlGn"),
colorSpectrum=list("magenta", "blue", "black", "red", "gold"),
colorSpectrumZeroValue=0,
graphType="Heatmap",
heatmapIndicatorHeight=80,
heatmapIndicatorHistogram=TRUE,
heatmapIndicatorPosition="topLeft",
heatmapIndicatorWidth=120,
samplesClustered=TRUE,
smpOverlayProperties=list(Dose=list(position="right", thickness=50, type="Dotplot"), Site=list(position="left"), Treatment=list(position="right")),
smpOverlays=list("Treatment", "Site", "Dose"),
title="Advanced Overlays in Heatmaps",
varOverlayProperties=list(Sens=list(color="red", position="bottom", thickness=20, type="Bar"), Type=list(position="top")),
varOverlays=list("Type", "Sens"),
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y3=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap-dat3.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y4=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap-dat4.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2, data3=y3, data4=y4),
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
guidesShow=TRUE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
outlineBy="Outline",
outlineByData="data2",
shapeBy="Shape",
shapeByData="data3",
sizeBy="Size",
sizeByData="data4",
xAxis=list("V1", "V2", "V3", "V4", "V5"),
afterRender=list(list("clusterSamples"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorSpectrum=list("#f0f0f0", "#bdbdbd", "#636363", "#000000"),
graphType="Heatmap",
showHeatmapIndicator=FALSE,
showLegend=FALSE,
sizeBy="Size",
sizeByContinuous=TRUE,
sizeByData="data",
title="A good old Northern Blot",
xAxis=list("V1", "V2", "V3", "V4", "V5")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-overlays-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-overlays-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-overlays-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
showSmpOverlaysLegend=FALSE,
showVarOverlaysLegend=FALSE,
smpOverlayProperties=list(Binary=list(position="left", scheme="BlackAndWhite", showLegend=1, type="Default"), Boolean=list(position="left"), Continuous=list(position="left", showLegend=1, spectrum=list("green", "white"), type="Heatmap"), Discrete=list(position="left", showLegend=1, thickness=30, type="Default"), Early=list(color="blue", position="right", thickness=50, type="Line"), Late=list(color="red", position="right", thickness=50, type="Line"), OnTime=list(color="green", position="right", thickness=50, type="Line"), PhaseA=list(position="left", showLegend=1, thickness=50, type="Bar"), PhaseB=list(position="left", showLegend=1, thickness=50, type="Bar"), PhaseC=list(position="left", showLegend=1, thickness=50, type="Bar"), Temp=list(position="right", spectrum=list("blue", "white", "red"), thickness=100, type="Heatmap")),
smpOverlays=list("PhaseA", "PhaseB", "PhaseC", "-", "-", "Binary", "Boolean", "Continuous", "Discrete", "-", "-", "Temp", "-", "-", "Early", "OnTime", "Late"),
smpTextScaleFontFactor=1.1,
splitSamplesBy="Discrete",
splitVariablesBy="Drug",
varOverlayProperties=list(Cold=list(color="blue", position="bottom", showLegend=1, thickness=50, type="StackedPercent"), Conc=list(position="top", showLegend=1, thickness=40, type="Bar"), Desc=list(position="bottom", type="Text"), Drug=list(position="top", showLegend=1, thickness=30, type="Increase"), Even=list(position="bottom", showLegend=1, thickness=50, type="Bar"), Female=list(position="top", showLegend=1, thickness=50, type="Pie"), Hot=list(color="red", position="bottom", showLegend=1, thickness=50, type="StackedPercent"), Male=list(position="top", showLegend=1, thickness=50, type="Pie"), Nice=list(color="green", position="bottom", showLegend=1, thickness=50, type="Dotplot"), Odd=list(position="bottom", showLegend=1, thickness=50, type="BarLine"), Site=list(position="top", showLegend=1, type="Default"), Ugly=list(color="black", position="bottom", showLegend=1, thickness=50, type="Dotplot")),
varOverlays=list("Drug", "-", "Male", "Female", "-", "Site", "-", "Conc", "-", "Desc", "-", "Even", "Odd", "-", "-", "Nice", "Ugly", "-", "-", "Cold", "Hot"),
varTextRotate=45,
varTextScaleFontFactor=1.7,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-pheatmap-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-pheatmap-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-pheatmap-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
heatmapIndicatorPosition="right",
overlayFontStyle="bold",
overlayScaleFontFactor=2,
samplesClustered=TRUE,
showSmpOverlaysLegend=TRUE,
showValueOverlays=FALSE,
showVarOverlaysLegend=TRUE,
smpDendrogramPosition="right",
smpOverlayProperties=list(CellType=list(position="right", scheme="Matlab", showLegend=1, type="Default"), Dose=list(color="blue", position="left", thickness=80, type="Bar"), Drug=list(position="left", scheme="Lancet", showLegend=1, thickness=30, type="Increase"), Time=list(position="right", scheme="Greens", showLegend=1, type="Default")),
smpOverlays=list("Drug", "-", "Dose", "CellType", "-", "Time"),
smpTitleLabelPosition="right",
varOverlayProperties=list(GeneClass=list(position="top", scheme="GGPlot", showLegend=1, thickness=20, type="Default"), ProteinA=list(color="green", position="top", thickness=45, type="Line")),
varOverlays=list("ProteinA", "-", "GeneClass"),
varTitleLabelPosition="bottom",
variablesClustered=TRUE,
xAxis=list("Var1", "Var2", "Var3", "Var4", "Var5", "Var6", "Var7", "Var8", "Var9", "Var10", "Var11", "Var12", "Var13", "Var14", "Var15", "Var16", "Var17", "Var18", "Var19", "Var20")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-pheatmap2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-pheatmap2-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-pheatmap2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-pheatmap2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2),
smpAnnot=x,
varAnnot=z,
dendrogramHeight=50,
graphType="Heatmap",
guidesShow=TRUE,
heatmapIndicatorPosition="top",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
objectBorderColor="rgb(0,0,0)",
samplesClustered=TRUE,
showSmpDendrogram=FALSE,
showVarDendrogram=FALSE,
sizeBy="Size",
sizeByData="data2",
sizes=list(4, 6, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48),
title="Bubble Heatmap Plot",
variablesClustered=TRUE,
xAxis=list("Var1", "Var2", "Var3", "Var4", "Var5", "Var6", "Var7", "Var8", "Var9", "Var10", "Var11", "Var12", "Var13", "Var14", "Var15", "Var16", "Var17", "Var18", "Var19", "Var20")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-heatmapR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorBy="Lab",
colorSpectrumByFactor=list(Lab=list(A=list(spectrum=list("rgb(255,215,0)", "rgb(255,255,255)", "rgb(160,32,240)")), B=list(spectrum=list("rgb(0,0,255)", "rgb(255,255,255)", "rgb(255,0,0)")))),
graphType="Heatmap",
samplesClustered=TRUE,
showSmpDendrogram=FALSE,
showVarDendrogram=FALSE,
smpOverlays=list("Treatment"),
splitVariablesBy="Lab",
varOverlays=list("Lab"),
variablesClustered=TRUE,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21", "V22", "V23", "V24", "V25", "V26", "V27", "V28", "V29", "V30", "V31", "V32", "V33", "V34", "V35", "V36", "V37", "V38", "V39", "V40")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2),
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
heatmapType="split",
title="Split Heatmap for Multidimensional Data",
xAxis=list("V1", "V2", "V3", "V4", "V5")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-multidimensionalheatmap3-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2),
smpAnnot=x,
varAnnot=z,
colorSpectrumByObject=list(data2=list(spectrum=list("#ffffFF", "#FF00FF"))),
graphType="Heatmap",
heatmapType="split",
title="Split Heatmap with multiple color brews",
xAxis=list("V1", "V2", "V3", "V4", "V5")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
binplotBins=30,
binplotShape="hexagon",
graphType="Scatter2D",
scatterType="bin2d",
showScatterDensity=TRUE,
xAxis=list("carat"),
yAxis=list("price")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
binplotBins=list(100, 100),
binplotShape="hexagon",
graphType="Scatter2D",
scatterType="bin2d",
showScatterDensity=TRUE,
xAxis=list("carat"),
yAxis=list("price")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
binplotBinWidth=list(1, 1000),
binplotShape="hexagon",
graphType="Scatter2D",
scatterType="bin2d",
showScatterDensity=TRUE,
xAxis=list("carat"),
yAxis=list("price")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
binplotBins=30,
binplotShape="rectangle",
graphType="Scatter2D",
scatterType="bin2d",
showScatterDensity=TRUE,
xAxis=list("carat"),
yAxis=list("price")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-dsmall-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
binplotBins=30,
binplotShape="oval",
graphType="Scatter2D",
scatterType="bin2d",
showScatterDensity=TRUE,
xAxis=list("carat"),
yAxis=list("price")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cancersurvivalt-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-cancersurvivalt-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisTitleFontStyle="italic",
citation="Cameron, E. and Pauling, L. (1978). Proceedings of the National Academy of Science USA, 75.",
graphType="Scatter2D",
histogramBins=10,
showHistogram=TRUE,
showTransition=FALSE,
title="Patients with advanced cancers of the stomach,\nbronchus, colon, ovary or breast treated with ascorbate.",
xAxis=list("Survival"),
xAxisTitle="Survival (days)",
yAxisTitle="Number of Subjects"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cancersurvivalt-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-cancersurvivalt-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisTitleFontStyle="italic",
citation="Cameron, E. and Pauling, L. (1978). Proceedings of the National Academy of Science USA, 75.",
graphType="Scatter2D",
histogramBins=20,
showHistogram=TRUE,
title="Patients with advanced cancers of the stomach,\nbronchus, colon, ovary or breast treated with ascorbate.",
xAxis=list("Survival"),
xAxisTitle="Survival (days)",
yAxisTitle="Number of Subjects"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cancersurvivalt-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-cancersurvivalt-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisTitleFontStyle="italic",
citation="Cameron, E. and Pauling, L. (1978). Proceedings of the National Academy of Science USA, 75.",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramBins=20,
showFilledHistogramPath=TRUE,
showHistogram=TRUE,
showHistogramPath=TRUE,
title="Patients with advanced cancers of the stomach,\nbronchus, colon, ovary or breast treated with ascorbate.",
xAxis=list("Survival"),
xAxisTitle="Survival (days)",
yAxisTitle="Number of Subjects"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-alcoholtobaccot-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
citation="Moore, David S., and George P. McCabe (1989). Introduction to the Practice of Statistics, p. 179.",
graphType="Scatter2D",
histogramBins=5,
showHistogram=TRUE,
title="Average weekly household spending, in British pounds, on tobacco products\nand alcoholic beverages for each of the 11 regions of Great Britain.",
xAxis=list("Tobacco", "Alcohol"),
xAxisTitle="Pounds Spent",
yAxisTitle="Frequency"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-alcoholtobaccot-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
citation="Moore, David S., and George P. McCabe (1989). Introduction to the Practice of Statistics, p. 179.",
graphType="Scatter2D",
histogramBins=5,
histogramType="staggered",
showHistogram=TRUE,
title="Average weekly household spending, in British pounds, on tobacco products\nand alcoholic beverages for each of the 11 regions of Great Britain.",
xAxis=list("Tobacco", "Alcohol"),
xAxisTitle="Pounds Spent",
yAxisTitle="Frequency"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-alcoholtobaccot-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
citation="Moore, David S., and George P. McCabe (1989). Introduction to the Practice of Statistics, p. 179.",
graphType="Scatter2D",
histogramBins=5,
histogramType="stacked",
showHistogram=TRUE,
title="Average weekly household spending, in British pounds, on tobacco products\nand alcoholic beverages for each of the 11 regions of Great Britain.",
xAxis=list("Tobacco", "Alcohol"),
xAxisTitle="Pounds Spent",
yAxisTitle="Frequency"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
histogramBins=5,
histogramType="dodged",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
segregateVariablesBy=list("dataset"),
showHistogram="dataset",
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("x", "y")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
histogramBins=5,
histogramType="staggered",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
segregateVariablesBy=list("dataset"),
showHistogram="dataset",
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("x", "y")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
histogramBins=5,
histogramType="stacked",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
segregateVariablesBy=list("dataset"),
showHistogram="dataset",
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("x", "y")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-mtcars2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-mtcars2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
histogramAsDotplot=TRUE,
histogramBinWidth=3,
showHistogram=TRUE,
xAxis=list("mpg"),
xAxisTitle="mpg",
yAxisTitle="Frequency"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix=TRUE,
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
confidenceIntervalColorCoordinate=TRUE,
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix=TRUE,
showRegressionFit="Species",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix=TRUE,
showRegressionFit=TRUE,
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=FALSE,
scatterPlotMatrix=TRUE,
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
confidenceIntervalColorCoordinate=TRUE,
graphType="Scatter2D",
layoutAdjust=FALSE,
scatterPlotMatrix=TRUE,
scatterPlotMatrixType="first",
showRegressionFit="Species",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-iris-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-iris-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisTextFontStyle="bold",
axisTitleFontStyle="italic",
citation="R. A. Fisher (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics 7 (2) => 179-188.",
citationFontStyle="italic",
fontStyle="italic",
graphOrientation="vertical",
graphType="Boxplot",
showTransition=FALSE,
smpTextFontStyle="italic",
smpTextRotate=90,
smpTitle="Species",
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="Iris flower data set",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width"),
xAxis2Show=FALSE,
afterRender=list(list("groupSamples", list("Species")), list("segregateSamples", list("Species")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cars-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-cars-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Dotplot",
legendColumns=3,
legendPosition="bottom",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="Measurements on 38 1978-79 model automobiles.\nThe gas mileage in miles per gallon as measured by Consumers Union on a test track.",
xAxis=list("MPG", "Weight", "Drive_Ratio", "Horsepower", "Displacement", "Cylinders"),
afterRender=list(list("groupSamples", list("Country")), list("segregateSamples", list("Country")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("V1", "V2", "V3", "V4"),
afterRender=list(list("segregateSamples", list("Factor1")), list("groupSamples", list("Factor1")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="horizontal",
graphType="Bar",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("V1", "V2", "V3", "V4"),
afterRender=list(list("segregateVariables", list("Annt2")), list("segregateSamples", list("Factor1")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
layoutType="rows",
showTransition=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("V1", "V2", "V3", "V4"),
afterRender=list(list("segregateVariables", list("Annt2")), list("segregateSamples", list("Factor1")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scents-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-scents-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Boxplot",
histogramBins=FALSE,
showTransition=FALSE,
smpTextRotate=90,
smpTitle="Smoking Status",
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3", "S-Trial 1", "S-Trial 2", "S-Trial 3"),
afterRender=list(list("groupSamples", list("Smoker")), list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-body2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-body2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
histogramBins=FALSE,
xAxis=list("Weight", "Height"),
afterRender=list(list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-kaplanmeier3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-kaplanmeier3-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
histogramBins=FALSE,
invertCensored=TRUE,
showConfidenceIntervals=FALSE,
showDecorations=TRUE,
showLegend=FALSE,
xAxis=list("Survival", "Survival-Censor"),
afterRender=list(list("switchSmpToAnnotation", list('Age')), list("switchSmpToAnnotation", list('Clin2')), list("switchSmpToAnnotation", list('Clin3')), list("addKMPlot"), list("createDOE"))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-layoutContinuous-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-layoutContinuous-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-layoutContinuous-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Bar",
layoutAdjust=TRUE,
layoutConfig=list(list(axisCoordinate=1, graphType="BarLine", showDataValues=1, xAxis=list("Duration"), xAxis2=list("Discontinued"), xAxisTitle="Duration of Treatment"), list(colorBy="Drug", legendColumns=5, legendInside=1, legendPosition="bottomLeft", showLegend=1, showLegendTitle=0, xAxisTitle="Change from Baseline (%)"), list(barLollipopFactor=1.5, barLollipopOpen=0, barType="lollipop", xAxisTitle="Baseline (mm)")),
layoutTopology="3X1",
showLegend=FALSE,
stripBackgroundBorderColor="rgba(0,0,0,0)",
stripShow=FALSE,
stripTextColor="rgb(0,0,0)",
title="Tumor Response and Duration by Subject Id",
xAxis=list("Duration", "Discontinued", "Response", "Baseline"),
xAxis2Show=FALSE,
afterRender=list(list("segregateVariables", list("Panel")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-overlays-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-overlays-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-overlays-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
smpOverlayProperties=list(Binary=list(position="left", scheme="BlackAndWhite", type="Default"), Continuous=list(position="left", spectrum=list("green", "white"), type="Heatmap"), Discrete=list(position="left", thickness=30, type="Default"), Early=list(color="blue", position="right", thickness=50, type="Line"), Late=list(color="red", position="right", thickness=50, type="Line"), OnTime=list(color="green", position="right", thickness=50, type="Line"), PhaseA=list(position="left", thickness=50, type="Bar"), PhaseB=list(position="left", thickness=50, type="Bar"), PhaseC=list(position="left", thickness=50, type="Bar"), Temp=list(position="right", spectrum=list("blue", "white", "red"), thickness=100, type="Heatmap")),
smpOverlays=list("PhaseA", "PhaseB", "PhaseC", "-", "-", "Binary", "Continuous", "Discrete", "-", "-", "Temp", "-", "-", "Early", "OnTime", "Late"),
smpTextScaleFontFactor=1.1,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
varOverlayProperties=list(Cold=list(color="blue", position="bottom", thickness=50, type="StackedPercent"), Conc=list(position="top", thickness=40, type="Bar"), Desc=list(position="bottom", type="Text"), Drug=list(position="top", thickness=30, type="Increase"), Even=list(position="bottom", thickness=50, type="Bar"), Female=list(position="top", thickness=50, type="Pie"), Hot=list(color="red", position="bottom", thickness=50, type="StackedPercent"), Male=list(position="top", thickness=50, type="Pie"), Nice=list(color="green", position="bottom", thickness=50, type="Dotplot"), Odd=list(position="bottom", thickness=50, type="BarLine"), Site=list(position="top", type="Default"), Ugly=list(color="black", position="bottom", thickness=50, type="Dotplot")),
varOverlays=list("Drug", "-", "Male", "Female", "-", "Site", "-", "Conc", "-", "Desc", "-", "Even", "Odd", "-", "-", "Nice", "Ugly", "-", "-", "Cold", "Hot"),
varTextRotate=45,
varTextScaleFontFactor=1.7,
xAxis=list("V1", "V2", "V3", "V4", "V5", "V6")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Scatter2D",
segregateVariablesBy=list("dataset"),
showRegressionFit="dataset",
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("x", "y")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-datasaurus2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dataset"),
layoutTopology="2X1",
segregateVariablesBy=list("variable"),
smpTextRotate=45,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("x", "y")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-anscombeQuartet-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-anscombeQuartet-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
confidenceIntervalColorCoordinate=TRUE,
graphType="Scatter2D",
segregateVariablesBy=list("dataset"),
showRegressionFit="dataset",
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("x", "y")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-oranges-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panel",
blockContrast=TRUE,
evenColor="rgb(226,236,248)",
graphOrientation="vertical",
graphType="Line",
legendInside=TRUE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="topLeft",
panelBackgroundColor="rgb(226,236,248)",
smpTextRotate=90,
smpTitle="Days Old",
theme="GGPlot",
title="Growth of Orange Trees",
xAxis=list(1, 2, 3, 4, 5),
xAxisTitle="Circumference (mm)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-oranges2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-oranges2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Tree",
graphOrientation="horizontal",
graphType="Scatter2D",
lineBy="Tree",
showLegend=FALSE,
title="Growth of Orange Trees",
xAxis=list("Days Old"),
yAxis=list("Circumference (mm)")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="Line",
legendPosition="right",
lineDecoration="pattern",
smpTextRotate=90,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
splitSamplesBy="Factor3",
theme="blackAndWhite",
title="Random Data",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-line-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-line-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Line",
lineErrorType="area",
lineType="spline",
xAxis=list("Var1", "Var2"),
afterRender=list(list("groupSamples", list("Time")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-timeline-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-timeline-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
citation="https://www.molbiolcell.org/doi/full/10.1091/mbc.e17-03-0136",
colorBy="Condition",
graphType="Scatter2D",
lineBy="Condition",
ribbonBy=list("CI_upper", "CI_lower"),
ribbonByType="area",
showTransition=FALSE,
title="Spatiotemporal Control of RhoGTPase Activation",
xAxis=list("Time"),
xAxisTitle="Time [s]",
yAxis=list("mean"),
yAxisTitle="Ratio YFP/CFP [-]"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-timeline2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-timeline2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
citation="https://www.molbiolcell.org/doi/full/10.1091/mbc.e17-03-0136",
colorBy="Condition",
colorScheme="Rpalette",
graphType="Scatter2D",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
scatterType="line",
showTransition=FALSE,
title="Spatiotemporal Control of RhoGTPase Activation",
xAxis=list("Time"),
xAxisTitle="Time [s]",
yAxis=list("Cell-1", "Cell-2", "Cell-3", "Cell-4", "Cell-5", "Cell-6", "Cell-7", "Cell-8", "Cell-9", "Cell-10", "Cell-11", "Cell-12", "Cell-13", "Cell-14", "Cell-15", "Cell-16", "Cell-17", "Cell-18", "Cell-19", "Cell-20", "Cell-21", "Cell-22", "Cell-23", "Cell-24", "Cell-25", "Cell-26", "Cell-27", "Cell-28", "Cell-29", "Cell-30", "Cell-31", "Cell-32", "Cell-33", "Cell-34", "Cell-35", "Cell-36", "Cell-37", "Cell-38", "Cell-39", "Cell-40", "Cell-41", "Cell-42", "Cell-43", "Cell-44", "Cell-45", "Cell-46", "Cell-47", "Cell-48", "Cell-49", "Cell-50", "Cell-51", "Cell-52", "Cell-53", "Cell-54", "Cell-55", "Cell-56", "Cell-57", "Cell-58", "Cell-59", "Cell-60", "Cell-61", "Cell-62", "Cell-63"),
yAxisTitle="Ratio YFP/CFP [-]"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-lollipop-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
barType="lollipop",
colorScheme="CanvasXpress",
dataPointSizeScaleFactor=6,
graphType="Bar",
widthFactor=0.6,
xAxis=list("V1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-lollipop2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-lollipop2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
barLollipopOpen=TRUE,
barType="lollipopBullet",
colorBy="Color",
colorScheme="GGPlot",
dataPointSizeScaleFactor=7,
graphType="Bar",
marginBottom=50,
marginLeft=50,
marginRight=50,
marginTop=50,
maxTextSize=80,
rangeColors=list("rgb(200,200,200)"),
setMaxX=150,
setMinX=-150,
showDataValues=TRUE,
showLegend=FALSE,
title="Occupations",
xAxis=list("Var1"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-OlympicMedalsT-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorBy="Total",
graphType="Map",
legendPosition="bottom",
mapId="medals",
theme="tableau",
title="Total Number of Olympic Medals in Paris - 2024",
topoJSON="https://www.canvasxpress.org/data/json/world.geojson"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-CO2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-CO2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="CO2",
graphType="Map",
legendPosition="left",
mapId="countries",
theme="solarized",
title="CO2 Emmisions During 2018",
topoJSON="https://www.canvasxpress.org/data/json/world.geojson"
)
library(canvasXpress)
canvasXpress(
data=FALSE,
colorBy="ISO_A3",
decorations=list(connections=list(list(color="red", source=list(40.7, -74), target=list(37.7, -122), type="spline"), list(color="red", source=list(40.7, -74), target=list(25.7, -80.1), type="spline"), list(color="red", source=list(37.7, -122), target=list(25.7, -80.1), type="splineDashed")), marker=list(list(color="blue", coords=list(40.7, -74), label="New York", shape="teardrop", size=5), list(color="blue", coords=list(37.7, -122), label="San Francisco", shape="teardrop", size=5), list(color="blue", coords=list(25.7, -80.1), label="Miami", shape="teardrop", size=5), list(color="green", coords=list(41.8, -87.6), label="Chicago", shape="circle", size=4), list(color="green", coords=list(36.1, -115.1), label="Las Vegas", shape="circle", size=3), list(color="black", coords=list(42.3, -71), label="Boston", shape="star", size=6))),
graphType="Map",
mapConfig=list(center=list(34.7, -96.1), zoom=3.2),
mapId="colorCountries",
showLegend=FALSE,
topoJSON="https://www.canvasxpress.org/data/json/world.geojson"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-election2000-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-election2000-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Winner",
graphType="Map",
legendOrder=list(Winner=list("Republican", "Democrat")),
mapId="albersStates",
mapProjection="albers",
theme="wallStreetJournal",
title="2000 Presidential Elections",
topoJSON="https://www.canvasxpress.org/data/json/usa-albers-states.json"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-election2000-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-election2000-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Winner",
decorations=list(pie=list(list(colors=list("blue", "red", "yellow", "green"), size=2.5, smps=list("Democrat", "Republican", "Libertarian", "Other")))),
graphType="Map",
legendColumns=4,
legendOrder=list(Winner=list("Republican", "Democrat")),
mapId="albersStatesPie",
mapProjection="albers",
sizeBy="Total",
theme="wallStreetJournal",
title="2000 Presidential Elections",
topoJSON="https://www.canvasxpress.org/data/json/usa-albers-states.json"
)
library(canvasXpress)
canvasXpress(
data=FALSE,
colorBy="Order",
graphType="Map",
legendPosition="bottom",
mapId="albersCounties",
title="Mercator Projection",
topoJSON="https://www.canvasxpress.org/data/json/usa-albers-counties.json"
)
library(canvasXpress)
canvasXpress(
data=FALSE,
colorBy="state_fips",
graphType="Map",
legendPosition="bottom",
mapId="mercatorCounties",
mapProjection="albers",
title="Albers Projection",
topoJSON="https://www.canvasxpress.org/data/json/usa-albers-counties.json"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-colombia-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
colorBy="Prop1",
colorSpectrum=list("rgb(247,252,253)", "rgb(229,245,249)", "rgb(204,236,230)", "rgb(153,216,201)", "rgb(102,194,164)", "rgb(65,174,118)", "rgb(35,139,69)", "rgb(0,109,44)", "rgb(0,68,27)"),
decorations=list(marker=list(list(color="red", coords=list(10.3932, -75.4832), label="Cartagena", shape="teardrop", size=4), list(color="blue", coords=list(12.5769, -81.7051), label="San Andres", shape="teardrop", size=6))),
graphType="Map",
legendInside=TRUE,
legendPosition="bottomLeft",
mapId="colombia",
mapPropertyId="ID_1",
topoJSON="https://www.canvasxpress.org/data/maps/COL.json"
)
library(canvasXpress)
canvasXpress(
data=FALSE,
colorBy="variable",
colorScheme="Light",
graphType="Map",
legendInside=TRUE,
legendPosition="bottomLeft",
legendTextScaleFontFactor=0.85,
mapId="italy",
topoJSON="https://www.canvasxpress.org/data/maps/ITA.json"
)
library(canvasXpress)
canvasXpress(
data=FALSE,
background="black",
graphType="Map",
mapColor="black",
mapId="spain",
mapOutlineColor="white",
topoJSON="https://www.canvasxpress.org/data/maps/ESP.json"
)
library(canvasXpress)
canvasXpress(
data=FALSE,
colorBy="Order",
graphType="Map",
mapConfig=list(zoom=3.2),
mapConfigFeatures=list("1"=list(scale=list(0.5, 0.8), translate=list(-100, -30)), "11"=list(scale=list(1.5, 1.5), translate=list(85, -5))),
mapId="customUSA",
topoJSON="https://www.canvasxpress.org/data/maps/USA.json"
)
library(canvasXpress)
canvasXpress(
data=FALSE,
colorBy="varId",
decorations=list(connections=list(list(color="red", source=list(40.7, -74), target=list(37.7, -122), type="spline"), list(color="red", source=list(40.7, -74), target=list(25.7, -80.1), type="spline"), list(color="red", source=list(37.7, -122), target=list(25.7, -80.1), type="splineDashed")), marker=list(list(color="blue", coords=list(40.7, -74), label="New York", shape="teardrop", size=5), list(color="blue", coords=list(37.7, -122), label="San Francisco", shape="teardrop", size=5), list(color="blue", coords=list(25.7, -80.1), label="Miami", shape="teardrop", size=5), list(color="green", coords=list(41.8, -87.6), label="Chicago", shape="circle", size=4), list(color="green", coords=list(36.1, -115.1), label="Las Vegas", shape="circle", size=3), list(color="black", coords=list(42.3, -71), label="Boston", shape="star", size=6))),
graphType="Map",
mapConfig=list(center=list(-90, 30)),
mapGraticuleShow=TRUE,
mapGraticuleType="solid",
mapId="worldCountries",
mapProjection="orthographic",
showLegend=FALSE,
title="Ortographic Projection",
topoJSON="https://www.canvasxpress.org/data/json/worldLow.json"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Meter",
meterType="gauge",
rangeSegments=list(0, 25, 50, 75, 100),
setMax=100,
setMin=0,
xAxis=list("Performance")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Meter",
meterType="speedometer",
rangeSegments=list(0, 25, 50, 75, 200),
setMax=200,
setMin=0,
xAxis=list("Performance")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Meter",
meterType="digital",
rangeSegments=list(0, 25, 50, 75, 100),
setMax=100,
setMin=0,
xAxis=list("Performance")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Meter",
meterType="state",
xAxis=list("Performance")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Meter",
meterType="horizontal",
setMax=100,
setMin=0,
xAxis=list("Performance")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Meter",
meterType="vertical",
rangeSegments=list(0, 25, 50, 75, 100),
setMax=100,
setMin=0,
xAxis=list("Performance")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-meter2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-meter2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Meter",
meterType="number",
meterVar="Revenue",
xAxis=list("Revenue")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-meter3-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphType="Meter",
groupingFactors=list("Quarter"),
meterType="digital",
meterVar="Revenue",
summaryType="sum",
xAxis=list("Revenue")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-meter4-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-meter4-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphType="Meter",
groupingFactors=list("cyl"),
meterType="gauge",
meterVar="mpg",
summaryType="average",
xAxis=list("mpg")
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-lesmiserable-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-lesmiserable-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
colorNodeBy="group",
colorSpectrum=list("purple", "blue", "cyan", "green", "yellow", "orange", "red"),
graphType="Network",
networkLayoutType="forceDirected",
showAnimation=TRUE,
title="Les Miserable"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-lesmiserableBH-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-lesmiserableBH-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
colorNodeBy="group",
colorSpectrum=list("purple", "blue", "cyan", "green", "yellow", "orange", "red"),
graphType="Network",
networkLayoutType="forceDirected",
showAnimation=TRUE,
title="Les Miserable",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-miserables-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-miserables-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
colorNodeBy="group",
graphType="Network",
networkColaJaccardLinkLengthDefault=0.7,
networkColaJaccardLinkLengths=40,
networkColaStartUnconstrainedIterations=50,
networkLayoutType="cola"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-miserablesG-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-miserablesG-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
groups=read.table("https://www.canvasxpress.org/data/r/cX-miserablesG-groups.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
groupData=groups,
colorNodeBy="group",
graphType="Network",
networkColaAvoidOverlaps=TRUE,
networkColaJaccardLinkLengthDefault=0.7,
networkColaJaccardLinkLengths=40,
networkColaStartUnconstrainedIterations=50,
networkLayoutType="cola"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-miserables-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-miserables-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
colorNodeBy="group",
graphType="Network",
is3DNetwork=TRUE,
networkColaJaccardLinkLengthDefault=0.7,
networkColaJaccardLinkLengths=40,
networkColaStartUnconstrainedIterations=50,
networkLayoutType="cola"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-miserablesC-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-miserablesC-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
colorNodeBy="group",
graphType="Network",
networkColaJaccardLinkLengthDefault=0.7,
networkColaJaccardLinkLengths=60,
networkColaStartUnconstrainedIterations=30,
networkLayoutType="cola"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-dunart-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-dunart-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
groups=read.table("https://www.canvasxpress.org/data/r/cX-dunart-groups.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
constraints=read.table("https://www.canvasxpress.org/data/r/cX-dunart-constraints.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
groupData=groups,
constraintData=constraints,
graphType="Network",
networkLayoutType="cola"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-chris-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-chris-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
graphType="Network",
networkColaStartUnconstrainedIterations=30,
networkColaSymmetricDiffLinkLengths=5,
networkLayoutType="cola",
nodeColor="rgb(31,119,180)",
nodeSizeScaleFactor=0.5
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-chrisC-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-chrisC-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
constraints=read.table("https://www.canvasxpress.org/data/r/cX-chrisC-constraints.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
constraintData=constraints,
graphType="Network",
networkColaAllConstraintsIterations=20,
networkColaAvoidOverlaps=TRUE,
networkColaFlowLayoutAxis="y",
networkColaFlowLayoutSeparation=30,
networkColaStartUnconstrainedIterations=10,
networkColaSymmetricDiffLinkLengths=6,
networkColaUserConstraintIterations=20,
networkLayoutType="cola",
nodeColor="rgb(31,119,180)",
nodeSizeScaleFactor=0.5
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-chrisC-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-chrisC-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
constraints=read.table("https://www.canvasxpress.org/data/r/cX-chrisC-constraints.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
constraintData=constraints,
graphType="Network",
is3DNetwork=TRUE,
networkColaAllConstraintsIterations=20,
networkColaAvoidOverlaps=TRUE,
networkColaFlowLayoutAxis="y",
networkColaFlowLayoutSeparation=30,
networkColaStartUnconstrainedIterations=10,
networkColaSymmetricDiffLinkLengths=6,
networkColaUserConstraintIterations=20,
networkLayoutType="cola",
nodeColor="rgb(31,119,180)",
nodeSizeScaleFactor=0.5
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-hierGroup-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-hierGroup-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
groups=read.table("https://www.canvasxpress.org/data/r/cX-hierGroup-groups.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
groupData=groups,
edgeColor="rgb(122,78,79)",
edgeThickness=3,
graphType="Network",
networkColaAllConstraintsIterations=50,
networkColaAvoidOverlaps=TRUE,
networkColaGridSnapIterations=50,
networkColaLinkDistance=80,
networkColaStartUnconstrainedIterations=100,
networkColaUserConstraintIterations=0,
networkLayoutType="cola"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-constraints-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-constraints-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
constraints=read.table("https://www.canvasxpress.org/data/r/cX-constraints-constraints.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
constraintData=constraints,
edgeColor="rgb(122,78,79)",
edgeThickness=3,
graphType="Network",
networkColaAllConstraintsIterations=10,
networkColaAvoidOverlaps=TRUE,
networkColaHandleDisconnected=TRUE,
networkColaLinkDistance=80,
networkColaStartUnconstrainedIterations=10,
networkColaUserConstraintIterations=10,
networkLayoutType="cola"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-lesmiserableC-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-lesmiserableC-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
background="rgb(245,245,245)",
colorNodeBy="group",
graphType="Network",
networkLayoutType="circular",
nodeScaleFontFactor=1.8,
showAnimation=TRUE,
showLegend=FALSE,
showNodeNameSizeThreshold=25,
showNodeNameThreshold=100,
sizeNodeBy="nodeEdges",
title="Les Miserable"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-networkradial-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-networkradial-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
graphType="Network",
networkLayoutType="radial",
nodeFontColor="rgb(29,34,43)",
nodeScaleFontFactor=2,
showAnimation=TRUE,
title="Radial Network"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-networkbasic-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-networkbasic-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
calculateLayout=FALSE,
decorations=list("exp1", "exp2", "exp3"),
decorationsPosition="top",
decorationsType="bar",
graphType="Network",
networkFreezeOnLoad=TRUE,
nodeFontColor="rgb(29,34,43)",
showAnimation=TRUE,
showDecorations=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-networkkarate-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-networkkarate-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
coordinateNetworkConvexHullCommunityColor=TRUE,
graphType="Network",
showNetworkCommunities=TRUE,
title="Zachary's famous Karate Club"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-wpapoptosis-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-wpapoptosis-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
adjustBezier=FALSE,
calculateLayout=FALSE,
graphType="Network",
networkFreeze=TRUE,
networkNodesOnTop=FALSE,
preScaleNetwork=FALSE,
showNodeNameThreshold=20000,
title="Apoptosis"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-wpapoptosis-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-wpapoptosis-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
adjustBezier=FALSE,
calculateLayout=FALSE,
colorNodeBy="Exp1",
graphType="Network",
networkFreeze=TRUE,
networkNodesOnTop=FALSE,
preScaleNetwork=FALSE,
showNodeNameThreshold=20000,
title="Apoptosis"
)
library(canvasXpress)
canvasXpress(
data="https://www.canvasxpress.org/data/xml/hsa05222.xml",
appendNetworkData=list("https://www.canvasxpress.org/data/txt/hsa05222.txt", list(data=list("2"=list(Exp5=-3, Exp6=4, Exp7="H", Exp8=list(CL1=2, CL2=14, CL3=7), Exp9=list(CL1=32, CL2=1, CL3=5)), "3"=list(Exp5=-1, Exp6=15, Exp7="L", Exp8=list(CL1=2, CL2=40, CL3=22), Exp9=list(CL1=45, CL2=4)), "4"=list(Exp5=5, Exp6=40, Exp7="H", Exp8=list(CL1=32, CL2=4, CL3=15), Exp9=list(CL1=52, CL2=4)), "8"=list(Exp5=10, Exp6=24, Exp7="H", Exp8=list(CL1=12, CL2=4, CL3=1), Exp9=list(CL1=21, CL2=44, CL3=9)), "9"=list(Exp5=-8, Exp6=14, Exp7="M", Exp8=list(CL1=2, CL2=14, CL3=32), Exp9=list(CL1=12, CL2=4))), type="node")),
colorNodeBy="Exp1",
graphType="Network"
)
library(canvasXpress)
canvasXpress(
data="https://www.canvasxpress.org/data/xml/hsa05222.xml",
appendNetworkData=list("https://www.canvasxpress.org/data/txt/hsa05222.txt", list(data=list("2"=list(Exp5=-3, Exp6=4, Exp7="H", Exp8=list(CL1=2, CL2=14, CL3=7), Exp9=list(CL1=32, CL2=1, CL3=5)), "3"=list(Exp5=-1, Exp6=15, Exp7="L", Exp8=list(CL1=2, CL2=40, CL3=22), Exp9=list(CL1=45, CL2=4)), "4"=list(Exp5=5, Exp6=40, Exp7="H", Exp8=list(CL1=32, CL2=4, CL3=15), Exp9=list(CL1=52, CL2=4)), "8"=list(Exp5=10, Exp6=24, Exp7="H", Exp8=list(CL1=12, CL2=4, CL3=1), Exp9=list(CL1=21, CL2=44, CL3=9)), "9"=list(Exp5=-8, Exp6=14, Exp7="M", Exp8=list(CL1=2, CL2=14, CL3=32), Exp9=list(CL1=12, CL2=4))), type="node")),
decorations=list("Exp2", "Exp3"),
decorationsHeight=18,
decorationsPosition="right",
decorationsType="pie",
graphType="Network"
)
library(canvasXpress)
canvasXpress(
data="https://www.canvasxpress.org/data/xml/WP3624_95209.gpml",
graphType="Network"
)
library(canvasXpress)
canvasXpress(
data="https://www.canvasxpress.org/data/xml/example.xgmml",
graphType="Network"
)
library(canvasXpress)
canvasXpress(
data="https://www.canvasxpress.org/data/xml/Apoptosis.xml",
graphType="Network"
)
library(canvasXpress)
canvasXpress(
data="https://www.canvasxpress.org/data/txt/networkData.txt",
colorNodeBy="name_mod1",
graphType="Network",
sizeEdgeBy="aa%1"
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-doctrine2-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-doctrine2-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-faker-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-faker-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-jquery-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-jquery-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-lichess-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-lichess-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-propel2-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-propel2-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-rails-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-rails-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-symfony-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-symfony-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-twig-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-twig-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-uptime-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-uptime-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
networkConvergenceThreshold=0.001,
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-wordpress-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-wordpress-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
nodes=read.table("https://www.canvasxpress.org/data/r/cX-zf2-nodes.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
edges=read.table("https://www.canvasxpress.org/data/r/cX-zf2-edges.txt", header=TRUE, sep="\t", quote="", fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
nodeData=nodes,
edgeData=edges,
edgeColor="rgb(158,202,225)",
graphType="Network",
useBarnesHutSimulation=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y3=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat3.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y4=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat4.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2, data3=y3, data4=y4),
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
oncoprintCNA="data2",
oncoprintMUT="data3",
overlaysThickness=100,
xAxis=list("V1", "V2", "V3")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y3=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat3.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y4=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat4.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2, data3=y3, data4=y4),
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
oncoprintCNA="data2",
oncoprintMUT="data3",
overlaysThickness=100,
smpOverlayProperties=list(Annt2=list(position="right", type="Bar"), Annt3=list(type="Stacked"), Annt4=list(type="Stacked"), Annt5=list(type="Stacked")),
smpOverlays=list("Annt1", "-", "Annt2", "Annt3", "Annt4", "Annt5"),
xAxis=list("S1", "S2", "S3", "S4", "S5", "S6", "S7", "S8", "S9")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y3=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat3.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y4=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-dat4.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-oncoprint-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2, data3=y3, data4=y4),
smpAnnot=x,
varAnnot=z,
graphType="Heatmap",
oncoprintCNA="data2",
oncoprintMUT="data3",
overlaysThickness=100,
patternBy="Pattern",
patternByData="data4",
smpOverlayProperties=list(Annt2=list(position="right", type="Bar"), Annt3=list(type="Stacked"), Annt4=list(type="Stacked"), Annt5=list(type="Stacked")),
smpOverlays=list("Annt1", "-", "Annt2", "Annt3", "Annt4", "Annt5"),
xAxis=list("S1", "S2", "S3", "S4", "S5", "S6", "S7", "S8", "S9")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-LungCancinoma-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y2=read.table("https://www.canvasxpress.org/data/r/cX-LungCancinoma-dat2.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y3=read.table("https://www.canvasxpress.org/data/r/cX-LungCancinoma-dat3.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
y4=read.table("https://www.canvasxpress.org/data/r/cX-LungCancinoma-dat4.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-LungCancinoma-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=list(y=y, data2=y2, data3=y3, data4=y4),
varAnnot=z,
graphType="Heatmap",
oncoprintCNA="data3",
oncoprintMUT="data4",
overlaysThickness=100,
xAxis=list("TCGA-18-3406-01", "TCGA-18-3407-01", "TCGA-18-3408-01", "TCGA-18-3409-01", "TCGA-18-3410-01", "TCGA-18-3411-01", "TCGA-18-3412-01", "TCGA-18-3414-01", "TCGA-18-3415-01", "TCGA-18-3416-01", "TCGA-18-3417-01", "TCGA-18-3419-01", "TCGA-18-3421-01", "TCGA-18-4083-01", "TCGA-18-4086-01", "TCGA-18-4721-01", "TCGA-18-5592-01", "TCGA-18-5595-01", "TCGA-21-1070-01", "TCGA-21-1071-01", "TCGA-21-1076-01", "TCGA-21-1077-01", "TCGA-21-1078-01", "TCGA-21-1081-01", "TCGA-21-5782-01", "TCGA-21-5784-01", "TCGA-21-5786-01", "TCGA-21-5787-01", "TCGA-22-0944-01", "TCGA-22-1002-01", "TCGA-22-1011-01", "TCGA-22-1012-01", "TCGA-22-1016-01", "TCGA-22-4591-01", "TCGA-22-4593-01", "TCGA-22-4595-01", "TCGA-22-4599-01", "TCGA-22-4601-01", "TCGA-22-4604-01", "TCGA-22-4607-01", "TCGA-22-4613-01", "TCGA-22-5471-01", "TCGA-22-5472-01", "TCGA-22-5473-01", "TCGA-22-5474-01", "TCGA-22-5477-01", "TCGA-22-5478-01", "TCGA-22-5480-01", "TCGA-22-5482-01", "TCGA-22-5485-01", "TCGA-22-5489-01", "TCGA-22-5491-01", "TCGA-22-5492-01", "TCGA-33-4532-01", "TCGA-33-4533-01", "TCGA-33-4538-01", "TCGA-33-4547-01", "TCGA-33-4566-01", "TCGA-33-4582-01", "TCGA-33-4583-01", "TCGA-33-4586-01", "TCGA-33-6737-01", "TCGA-34-2596-01", "TCGA-34-2600-01", "TCGA-34-2608-01", "TCGA-34-5231-01", "TCGA-34-5232-01", "TCGA-34-5234-01", "TCGA-34-5236-01", "TCGA-34-5239-01", "TCGA-34-5240-01", "TCGA-34-5241-01", "TCGA-34-5927-01", "TCGA-34-5928-01", "TCGA-34-5929-01", "TCGA-37-3783-01", "TCGA-37-3789-01", "TCGA-37-4133-01", "TCGA-37-4135-01", "TCGA-37-4141-01", "TCGA-37-5819-01", "TCGA-39-5016-01", "TCGA-39-5019-01", "TCGA-39-5021-01", "TCGA-39-5022-01", "TCGA-39-5024-01", "TCGA-39-5027-01", "TCGA-39-5028-01", "TCGA-39-5029-01", "TCGA-39-5030-01", "TCGA-39-5031-01", "TCGA-39-5035-01", "TCGA-39-5036-01", "TCGA-39-5037-01", "TCGA-39-5039-01", "TCGA-43-2578-01", "TCGA-43-3394-01", "TCGA-43-3920-01", "TCGA-43-5668-01", "TCGA-43-6143-01", "TCGA-43-6647-01", "TCGA-43-6770-01", "TCGA-43-6771-01", "TCGA-46-3765-01", "TCGA-46-3766-01", "TCGA-46-3767-01", "TCGA-46-3768-01", "TCGA-46-3769-01", "TCGA-46-6025-01", "TCGA-46-6026-01", "TCGA-51-4079-01", "TCGA-51-4080-01", "TCGA-51-4081-01", "TCGA-56-1622-01", "TCGA-56-5897-01", "TCGA-56-5898-01", "TCGA-56-6545-01", "TCGA-56-6546-01", "TCGA-60-2698-01", "TCGA-60-2707-01", "TCGA-60-2708-01", "TCGA-60-2709-01", "TCGA-60-2710-01", "TCGA-60-2711-01", "TCGA-60-2712-01", "TCGA-60-2713-01", "TCGA-60-2715-01", "TCGA-60-2719-01", "TCGA-60-2720-01", "TCGA-60-2721-01", "TCGA-60-2722-01", "TCGA-60-2723-01", "TCGA-60-2724-01", "TCGA-60-2725-01", "TCGA-60-2726-01", "TCGA-63-5128-01", "TCGA-63-5131-01", "TCGA-63-6202-01", "TCGA-66-2727-01", "TCGA-66-2734-01", "TCGA-66-2742-01", "TCGA-66-2744-01", "TCGA-66-2754-01", "TCGA-66-2755-01", "TCGA-66-2756-01", "TCGA-66-2757-01", "TCGA-66-2758-01", "TCGA-66-2759-01", "TCGA-66-2763-01", "TCGA-66-2765-01", "TCGA-66-2766-01", "TCGA-66-2767-01", "TCGA-66-2768-01", "TCGA-66-2770-01", "TCGA-66-2771-01", "TCGA-66-2773-01", "TCGA-66-2777-01", "TCGA-66-2778-01", "TCGA-66-2780-01", "TCGA-66-2781-01", "TCGA-66-2782-01", "TCGA-66-2783-01", "TCGA-66-2785-01", "TCGA-66-2786-01", "TCGA-66-2787-01", "TCGA-66-2788-01", "TCGA-66-2789-01", "TCGA-66-2791-01", "TCGA-66-2792-01", "TCGA-66-2793-01", "TCGA-66-2794-01", "TCGA-66-2795-01", "TCGA-66-2800-01", "TCGA-70-6722-01", "TCGA-70-6723-01", "TCGA-85-6175-01", "TCGA-85-6560-01", "TCGA-85-6561-01")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Species",
graphOrientation="vertical",
graphType="ParallelCoordinates",
lineDecoration=FALSE,
showTransition=FALSE,
smpTextRotate=90,
title="Iris flower data set",
xAxis=list("s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "s9", "s10", "s11", "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19", "s20", "s21", "s22", "s23", "s24", "s25", "s26", "s27", "s28", "s29", "s30", "s31", "s32", "s33", "s34", "s35", "s36", "s37", "s38", "s39", "s40", "s41", "s42", "s43", "s44", "s45", "s46", "s47", "s48", "s49", "s50", "s51", "s52", "s53", "s54", "s55", "s56", "s57", "s58", "s59", "s60", "s61", "s62", "s63", "s64", "s65", "s66", "s67", "s68", "s69", "s70", "s71", "s72", "s73", "s74", "s75", "s76", "s77", "s78", "s79", "s80", "s81", "s82", "s83", "s84", "s85", "s86", "s87", "s88", "s89", "s90", "s91", "s92", "s93", "s94", "s95", "s96", "s97", "s98", "s99", "s100", "s101", "s102", "s103", "s104", "s105", "s106", "s107", "s108", "s109", "s110", "s111", "s112", "s113", "s114", "s115", "s116", "s117", "s118", "s119", "s120", "s121", "s122", "s123", "s124", "s125", "s126", "s127", "s128", "s129", "s130", "s131", "s132", "s133", "s134", "s135", "s136", "s137", "s138", "s139", "s140", "s141", "s142", "s143", "s144", "s145", "s146", "s147", "s148", "s149", "s150")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Species",
graphOrientation="vertical",
graphType="ParallelCoordinates",
lineDecoration=FALSE,
smpTextRotate=90,
title="Iris flower data set",
xAxis=list("s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "s9", "s10", "s11", "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19", "s20", "s21", "s22", "s23", "s24", "s25", "s26", "s27", "s28", "s29", "s30", "s31", "s32", "s33", "s34", "s35", "s36", "s37", "s38", "s39", "s40", "s41", "s42", "s43", "s44", "s45", "s46", "s47", "s48", "s49", "s50", "s51", "s52", "s53", "s54", "s55", "s56", "s57", "s58", "s59", "s60", "s61", "s62", "s63", "s64", "s65", "s66", "s67", "s68", "s69", "s70", "s71", "s72", "s73", "s74", "s75", "s76", "s77", "s78", "s79", "s80", "s81", "s82", "s83", "s84", "s85", "s86", "s87", "s88", "s89", "s90", "s91", "s92", "s93", "s94", "s95", "s96", "s97", "s98", "s99", "s100", "s101", "s102", "s103", "s104", "s105", "s106", "s107", "s108", "s109", "s110", "s111", "s112", "s113", "s114", "s115", "s116", "s117", "s118", "s119", "s120", "s121", "s122", "s123", "s124", "s125", "s126", "s127", "s128", "s129", "s130", "s131", "s132", "s133", "s134", "s135", "s136", "s137", "s138", "s139", "s140", "s141", "s142", "s143", "s144", "s145", "s146", "s147", "s148", "s149", "s150"),
afterRender=list(list("switchAnnotationToSmp", list("Species")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Pie",
layout="2X3",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
pieSegmentLabels="inside",
pieSegmentPrecision=0,
pieSegmentSeparation=1,
showPieGrid=TRUE,
showPieSampleLabel=TRUE,
showTransition=FALSE,
xAxis=list("S1", "S2", "S3", "S4", "S5", "S6")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Pie",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
pieSegmentLabels="outside",
pieSegmentPrecision=1,
pieSegmentSeparation=2,
pieType="solid",
showTransition=FALSE,
xAxis=list("S1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=360,
circularRotate=0,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
ringGraphType=list("line"),
showTransition=FALSE,
title="Radar - Line",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=360,
circularRotate=0,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
ringGraphType=list("area"),
showTransition=FALSE,
title="Radar - Area",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=360,
circularRotate=0,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
ringGraphType=list("bar"),
showTransition=FALSE,
title="Radar - Bar",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=360,
circularRotate=0,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
ringGraphType=list("dot"),
showTransition=FALSE,
title="Radar - Scatter",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=360,
circularRotate=0,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
ringGraphType=list("stacked"),
showTransition=FALSE,
title="Radar - Stacked",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=180,
circularRotate=0,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
ringGraphType=list("line"),
showTransition=FALSE,
title="Half Radar",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=180,
circularRotate=-90,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
ringGraphType=list("line"),
showTransition=FALSE,
title="Rotated Half Radar",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
circularArc=360,
circularRotate=0,
circularType="radar",
colorScheme="Bootstrap",
graphType="Circular",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
objectBorderColor="rgb(0,0,0)",
ringGraphType=list("line"),
showTransition=FALSE,
smpOverlays=list("Factor3", "-", "Factor1", "Factor2"),
title="Radar with Overlays",
transitionStep=50,
transitionTime=1500,
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-radar-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-radar-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularTrackGraphType=list("scatter"),
circularType="radar",
colorBy="color",
colorKey=list(color=list(blue="#0000FF", brown="#A52A2A", green="#00FF00", red="#FF0000")),
graphType="Circular",
rAxis="radians",
rAxisPercentShow=FALSE,
rAxisShow=TRUE,
setMaxR=6.28318530717959,
setMaxY=5,
setMinR=0,
setMinY=0,
showLegend=TRUE,
showSampleNames=FALSE,
sizeBy="size",
yAxis=list("radius")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix=TRUE,
scatterPlotMatrixType="both",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix=TRUE,
scatterPlotMatrixType="upper",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix=TRUE,
scatterPlotMatrixType="lower",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix="Species",
scatterPlotMatrixType="correlation",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix="Species",
scatterPlotMatrixType="correlationHistogram",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix="Species",
scatterPlotMatrixType="correlationDensity",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix="Species",
scatterPlotMatrixType="all",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
broadcast=TRUE,
colorBy="Species",
graphType="Scatter2D",
layoutAdjust=TRUE,
scatterPlotMatrix=TRUE,
scatterPlotMatrixType="first",
xAxis=list("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sankey-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sankey-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Sankey",
sankeyNodesColor="rgba(20, 250, 50, 0.4)",
sankeySource="Source",
sankeyTarget="Target",
showTransition=FALSE,
title="Single Level Sankey",
xAxis=list("Weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sankey-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sankey-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Weight",
graphOrientation="vertical",
graphType="Sankey",
sankeySource="Source",
sankeyTarget="Target",
title="Single Level Sankey",
xAxis=list("Weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sankey2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sankey2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Sankey",
sankeyNodesColor="rgba(20, 150, 250, 0.4)",
sankeySource="Source",
sankeyTarget="Target",
title="Multilevel Sankey",
xAxis=list("Weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sankey2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sankey2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Weight",
graphOrientation="vertical",
graphType="Sankey",
sankeySource="Source",
sankeyTarget="Target",
title="Multilevel Sankey",
xAxis=list("Weight")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-titanicR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-titanicR-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Survived",
colorScheme="GGPlot",
graphOrientation="horizontal",
graphType="Sankey",
sankeyAxes=list("Class", "Sex", "Age", "Survived"),
sankeyNodesColor="rgb(255,255,255)",
scheme="GGPlot",
title="Alluvial Plot",
xAxis=list("Freq")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sankey3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sankey3-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Department",
graphType="Sankey",
sankeyAxes=list("Department", "Division", "Requester", "Program", "Operator", "Tool"),
sankeyNodesColor="rgb(255,255,255)",
title="Alluvial Plot",
xAxis=list("Ticket")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-alcoholtobaccot-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
citation="Moore, David S., and George P. McCabe (1989). Introduction to the Practice of Statistics, p. 179.",
decorations=list(marker=list(list(sample=list("Alcohol", "Tobacco"), text="Maybe an Outlier?", variable="Northern Ireland", x=0.45, y=0.18))),
graphType="Scatter2D",
showTransition=FALSE,
title="Average weekly household spending, in British pounds, on tobacco products\nand alcoholic beverages for each of the 11 regions of Great Britain.",
xAxis=list("Alcohol"),
yAxis=list("Tobacco")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-spider-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-spider-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Response",
graphType="Scatter2D",
legendBox=TRUE,
legendInside=TRUE,
legendPosition="topRight",
lineBy="Subject",
title="Tumor Response by Week",
xAxis=list("Weeks"),
yAxis=list("Change From Baseline %")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-loess2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Scatter2D",
showConfidenceIntervals=TRUE,
showLoessFit=TRUE,
title="Loess Fit",
xAxis=list("E"),
yAxis=list("NOx")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scentst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scentst-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
citation="Hirsch, A. R., and Johnston, L. H. Odors and Learning, Smell & Taste Treatment and Research Foundation, Chicago.",
graphType="Scatter2D",
histogramBins=5,
histogramStat="count",
legendBox=TRUE,
setMaxX=100,
setMaxY=150,
setMinX=0,
setMinY=0,
shapeBy="Smoker",
showHistogramBars=TRUE,
showTransition=FALSE,
sizeBy="Age",
title="Data on the time subjects required to complete a pencil and paper maze\nwhen they were smelling a floral scent and when they were not.",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3"),
xAxisExact=TRUE,
xAxisHistogramShow=TRUE,
yAxis=list("S-Trial 1", "S-Trial 2", "S-Trial 3"),
yAxisExact=TRUE,
yAxisHistogramShow=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-mtcars-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
asSampleFactors=list("cyl"),
colorBy="cyl",
confidenceIntervalColorCoordinate=TRUE,
graphType="Scatter2D",
legendBox=TRUE,
showRegressionFit="cyl",
stringVariableFactors=list("cyl"),
xAxis=list("wt"),
yAxis=list("mpg")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-mtcars-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
asSampleFactors=list("cyl"),
colorBy="cyl",
confidenceIntervalColorCoordinate=TRUE,
graphType="Scatter2D",
legendBox=TRUE,
showRegressionFit="cyl",
showRegressionFullRange=TRUE,
stringVariableFactors=list("cyl"),
xAxis=list("wt"),
yAxis=list("mpg")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scentst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scentst-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
citation="Hirsch, A. R., and Johnston, L. H. Odors and Learning, Smell & Taste Treatment and Research Foundation, Chicago.",
colorScheme="GreyHC",
graphType="Scatter2D",
histogramBins=5,
histogramStat="count",
legendBox=TRUE,
objectBorderColor="rgb(0,0,0)",
setMaxX=100,
setMaxY=150,
setMinX=0,
setMinY=0,
shapeBy="Smoker",
showHistogramBars=TRUE,
sizeBy="Age",
title="Data on the time subjects required to complete a pencil and paper maze\nwhen they were smelling a floral scent and when they were not.",
xAxis=list("U-Trial 1", "U-Trial 2", "U-Trial 3"),
xAxisExact=TRUE,
xAxisHistogramShow=TRUE,
yAxis=list("S-Trial 1", "S-Trial 2", "S-Trial 3"),
yAxisExact=TRUE,
yAxisHistogramShow=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-ageheightt-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
citation="Moore, David S., and George P. McCabe (1989)",
citationScaleFontFactor=0.75,
graphType="Scatter2D",
showRegressionFit=TRUE,
title="Mean heights of a group of children in Kalama",
xAxis=list("Age"),
yAxis=list("Height")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-breastcancert-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
backgroundType="panel",
citation="Velleman, P. F. and Hoaglin, D. C. (1981).\nApplications, Basics, and Computing of Exploratory Data Analysis. Belmont. CA : Wadsworth, Inc., pp. 127-134.",
colors=list("rgba(64,64,64,0.5)"),
decorationsBackgroundColor="rgb(238,238,238)",
decorationsBorderColor="rgb(0,0,0)",
decorationsPosition="bottomRight",
graphType="Scatter2D",
legendBackgroundColor="rgba(255,255,255,0)",
legendInside=TRUE,
panelBackgroundColor="rgb(238,238,238)",
showDecorations=TRUE,
showRegressionFit=TRUE,
showTransition=FALSE,
title="Mean annual temperature (in degrees F) and Mortality Index for neoplasms of the female breast.",
xAxis=list("Mortality"),
xAxisGridMajorColor="rgb(255,255,255)",
yAxis=list("Temperature"),
yAxisGridMajorColor="rgb(255,255,255)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-nonlinearfit-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
decorations=list(nlfit=list(list(label="Custom Fit", param=list(164, 313, 0.031, -1.5, 1.2e-06, 1.9), type="cst"), list(label="Regular Fit", param=list(164, 313, 0.031, 1.5, 1.2e-06, 1.9), type="reg"))),
graphType="Scatter2D",
setMaxY=350,
setMinY=100,
showDecorations=TRUE,
xAxis=list("Concentration"),
xAxisTransform="log10",
xAxisTransformTicks=TRUE,
yAxis=list("V1"),
yAxisExact=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatterR-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scatterR-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisAlgorithm="rPretty",
backgroundType="panel",
colorBy="Group",
colors=list("rgba(0,104,139,0.5)", "rgba(205,0,0,0.5)", "rgba(64,64,64,0.5)"),
decorations=list(line=list(list(color="rgba(205,0,0,0.5)", width=2, y=0.5), list(color="rgba(0,104,139,0.5)", width=2, y=-0.5))),
graphType="Scatter2D",
legendBackgroundColor="rgb(238,238,238)",
legendBox=TRUE,
legendBoxColor="rgb(0,0,0)",
legendInside=TRUE,
legendPosition="bottomRight",
panelBackgroundColor="rgb(238,238,238)",
showConfidenceIntervals=FALSE,
showDecorations=TRUE,
showLoessFit=TRUE,
showTransition=FALSE,
sizeBy="FC",
sizes=list(4, 12, 14, 15, 16, 17, 18),
title="Profile plot",
xAxis=list("AveExpr"),
xAxisGridMajorColor="rgb(255,255,255)",
yAxis=list("logFC"),
yAxisGridMajorColor="rgb(255,255,255)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatterR2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scatterR2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="Group",
colors=list("rgba(0,104,139,0.5)", "rgba(205,0,0,0.5)", "rgba(64,64,64,0.5)"),
decorations=list(line=list(list(color="rgba(205,0,0,0.5)", width=2, x=0.5), list(color="rgba(0,104,139,0.5)", width=2, x=-0.5))),
graphType="Scatter2D",
hoverTemplate="Group : {Group}
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatterR3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-scatterR3-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisAlgorithm="rPretty",
backgroundType="panel",
colorBy="Group",
colors=list("rgba(255,215,0,0.5)", "rgba(64,64,64,0.5)", "rgba(0,104,139,0.5)", "rgba(205,0,0,0.5)"),
decorations=list(line=list(list(color="rgba(64,64,64,0.5)", width=2, x=0), list(color="rgba(64,64,64,0.5)", width=2, y=0), list(color="rgba(255,215,0,0.5)", width=2, x=-5, x2=5, y=-5, y2=5))),
graphType="Scatter2D",
legendBackgroundColor="rgb(238,238,238)",
legendBox=TRUE,
legendBoxColor="rgb(0,0,0)",
legendInside=TRUE,
legendPosition="bottomRight",
panelBackgroundColor="rgb(238,238,238)",
showDecorations=TRUE,
showTransition=FALSE,
sizeBy="Hit",
sizeByShowLegend=FALSE,
sizes=list(4, 14),
title="Contrast plot",
xAxis=list("logFC-X"),
xAxisGridMajorColor="rgb(255,255,255)",
yAxis=list("logFC-Y"),
yAxisGridMajorColor="rgb(255,255,255)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatterR4-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
axisAlgorithm="rPretty",
backgroundType="panel",
colors=list("rgba(0,104,139,0.5)", "rgba(205,0,0,0.5)"),
graphType="Scatter2D",
legendBackgroundColor="rgba(255,255,255,0)",
legendInside=TRUE,
legendPosition="topRight",
panelBackgroundColor="rgb(238,238,238)",
title="Waterfall plot",
xAxis=list("Row"),
xAxisGridMajorColor="rgb(255,255,255)",
yAxis=list("S1", "S2"),
yAxisGridMajorColor="rgb(255,255,255)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-visium-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-visium-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundImage="https://www.canvasxpress.org/assets/images/visium.png",
backgroundType="panelImage",
colorBy="signal",
graphType="Scatter2D",
plotBox=FALSE,
scatterType="visium",
title="Visium Spatial Transcriptomics",
visiumFlip=FALSE,
xAxis=list("imagecol"),
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE,
yAxis=list("imagerow"),
yAxisGridMajorShow=FALSE,
yAxisGridMinorShow=FALSE,
yAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-gwas-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
chromosomeLengths=list(1500, 1191, 1040, 945, 877, 825, 784, 750, 721, 696, 674, 655, 638, 622, 608, 595, 583, 572, 562, 553, 544, 535),
decorations=list(line=list(list(color="rgb(255,0,0)", width=1, y=7), list(color="rgb(0,0,255)", width=1, y=5)), marker=list(list(align="left", offsetX=5, offsetY=0, rotate=-45, sample=list("Chr", "Pos", "-log10(pValue)"), text="rs4064", type="text", variable="rs4064"))),
graphType="Scatter2D",
highlightVar=list("rs13895", "rs11846"),
manhattanMarkerChromosomeNumber="Chr",
manhattanMarkerLogPValue="-log10(pValue)",
manhattanMarkerPosition="Pos",
scatterOutlineThreshold=5000,
scatterType="manhattan",
title="Manhattan Plot",
xAxis=list("Pos"),
yAxis=list("-log10(pValue)")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-fcyt-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
dataPointSize=5,
graphType="Scatter2D",
scatterOutlineThreshold=1,
showScatterDensity=TRUE,
xAxis=list("FL1-A"),
xAxisTitle="FL1-A",
xAxisTransform="log10",
yAxis=list("FL2-A"),
yAxisTitle="FL2-A",
yAxisTransform="log10"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bump-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-bump-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="group",
dataPointSize=26,
graphType="Bump",
lineBy="group",
theme="GGPlot"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisTextScaleFontFactor=0.5,
axisTitleScaleFontFactor=0.5,
colorBy="Species",
graphType="Scatter3D",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
title="Iris Data Set",
xAxis=list("Sepal.Length"),
yAxis=list("Sepal.Width"),
zAxis=list("Petal.Length")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-irist-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-irist-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
axisTextScaleFontFactor=0.5,
axisTitleScaleFontFactor=0.5,
colorBy="Species",
ellipseBy="Species",
graphType="Scatter3D",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
title="Iris Data Set",
xAxis=list("Sepal.Length"),
yAxis=list("Petal.Width"),
zAxis=list("Petal.Length")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-loess3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Scatter3D",
showConfidenceIntervals=TRUE,
showLoessFit=TRUE,
title="Loess Fit",
xAxis=list("E"),
xAxisExact=TRUE,
yAxis=list("NOx"),
yAxisExact=TRUE,
zAxis=list("C"),
zAxisExact=TRUE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatter3d-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Scatter3D",
xAxis=list("S1"),
yAxis=list("S2"),
zAxis=list("S3")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-scatter3d-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Scatter3D",
scatterType="bar",
xAxis=list("S1"),
yAxis=list("S2"),
zAxis=list("S3")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic2-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
colorBy="Annt1",
graphType="Scatter3D",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
shapeBy="Annt2",
sizeBy="Annt3",
xAxis=list("S1"),
yAxis=list("S2"),
zAxis=list("S3")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bubble-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-bubble-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Continent",
graphType="ScatterBubble2D",
showTransition=FALSE,
xAxis=list("LifeExpectancy"),
yAxis=list("GDPPerCapita"),
yAxisTransform="log2",
zAxis=list("Population")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="ScatterBubble2D",
xAxis=list("S1", "S4"),
yAxis=list("S2", "S5"),
zAxis=list("S3", "S6")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bubble-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-bubble-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="Continent",
graphType="ScatterBubble2D",
motionBy="Year",
xAxis=list("LifeExpectancy"),
yAxis=list("GDPPerCapita"),
yAxisTransform="log2",
zAxis=list("Population")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-stacked2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-stacked2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorScheme="Blues",
foreground="rgb(0,0,0)",
graphOrientation="vertical",
graphType="Stacked",
groupingFactors=list("Factor1"),
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
objectBorderColor="rgb(0,0,0)",
sampleSpaceFactor=1,
showTransition=FALSE,
title="Random Data",
treemapBy=list("Factor2", "Factor3"),
xAxis=list("Var1", "Var2", "Var3")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="horizontal",
graphType="Stacked",
legendBackgroundColor=FALSE,
sampleSpaceFactor=1,
showDataValues=TRUE,
smpTextScaleFontFactor=0.8,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
title="Random Data",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
gradient=TRUE,
graphOrientation="vertical",
graphType="Stacked",
legendBackgroundColor=FALSE,
smpTextScaleFontFactor=0.8,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
title="Random Data",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="horizontal",
graphType="Stacked",
legendBackgroundColor=FALSE,
showDataValues=TRUE,
smpTextScaleFontFactor=0.8,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
splitSamplesBy="Factor3",
title="Random Data",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-diverging-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
axisAlgorithm="wilkinson",
colorScheme="CanvasXpress",
graphOrientation="horizontal",
graphType="Stacked",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="bottom",
marginRight=20,
showDataValues=TRUE,
title="Diverging Stacked Graph",
xAxis=list("Pants on Fire", "False", "Mostly False", "Half True", "Mostly True", "True"),
xAxisTickFormat="%s%%"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="StackedLine",
lineThickness=3,
lineType="spline",
showDataValues=TRUE,
showTransition=FALSE,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Stacked-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
coordinateLineColor=TRUE,
graphOrientation="horizontal",
graphType="StackedLine",
legendInside=TRUE,
legendPosition="topRight",
lineThickness=3,
lineType="spline",
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Stacked-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="horizontal",
graphType="StackedPercent",
legendBackgroundColor=FALSE,
sampleSpaceFactor=1,
showDataValues=TRUE,
showTransition=FALSE,
smpTextScaleFontFactor=0.8,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
title="Random Data",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
gradient=TRUE,
graphOrientation="vertical",
graphType="StackedPercent",
legendBackgroundColor=FALSE,
showDataValues=TRUE,
smpTextScaleFontFactor=0.8,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
title="Random Data",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="horizontal",
graphType="StackedPercent",
legendBackgroundColor=FALSE,
sampleSpaceFactor=1.5,
smpTextScaleFontFactor=0.8,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
title="Random Data",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-diverging-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
axisAlgorithm="wilkinson",
colorScheme="CanvasXpress",
graphOrientation="horizontal",
graphType="StackedPercent",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="bottom",
marginRight=20,
showDataValues=TRUE,
title="Diverging Stacked Percent Graph",
xAxis=list("Pants on Fire", "False", "Mostly False", "Half True", "Mostly True", "True"),
xAxisTickFormat="%s%%"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-movieRoles-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-movieRoles-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-movieRoles-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
backgroundType="solid",
barPath=TRUE,
barPathColor="rgb(48,116,154)",
barPathTransparency=1,
colorBy="Color",
colors=list("rgb(255,190,179)", "rgb(251,153,134)", "rgb(244,112,96)", "rgb(230,68,72)", "rgb(210,41,63)", "rgb(173,18,58)"),
fontName="Waltograph",
fontsExternal=list(list(name="Waltograph", url="https://www.canvasxpress.org/assets/fonts/waltograph42.otf")),
graphOrientation="horizontal",
graphType="StackedPercent",
layoutCollapse=TRUE,
legendBackgroundColor="rgb(63,149,180)",
legendColumns=2,
legendKeyBackgroundBorderColor="rgb(63,149,180)",
legendKeyBackgroundColor="rgb(63,149,180)",
legendPosition="bottom",
legendTextColor="rgb(255,255,255)",
legendTextScaleFontFactor=2,
marginBottom=10,
marginLeft=10,
marginRight=50,
marginTop=30,
maxTextSize=80,
objectBorderColor="rgba(255,255,255,0)",
patternBy="InOut",
patterns=list("solid", "stripeHorizontal", "hatchForward", "hatchReverse", "stripeVertical", "polkaDot"),
plotBackgroundColor="rgb(63,149,180)",
segregateVariablesBy=list("Gender"),
showColorLegend=FALSE,
showLegend=TRUE,
showLegendTitle=FALSE,
smpTextColor="rgb(255,255,255)",
smpTextScaleFontFactor=1.2,
stripBackgroundBorderColor="rgba(255,255,255,0)",
stripBackgroundColor="rgba(255,255,255,0)",
stripTextColor="rgb(255,255,255)",
stripTextScaleFontFactor=2.2,
title="Fewer Role Models",
titleAlign="center",
titleColor="rgb(252,157,156)",
titleScaleFontFactor=4.5,
widthFactor=1.1,
xAxis=list("Females-in", "Females-out", "Males-in", "Males-out"),
xAxis2Show=FALSE,
xAxisGridMajorShow=FALSE,
xAxisGridMinorShow=FALSE,
xAxisShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphOrientation="vertical",
graphType="StackedPercentLine",
lineThickness=3,
lineType="spline",
showDataValues=TRUE,
showTransition=FALSE,
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Stacked-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
coordinateLineColor=TRUE,
graphOrientation="horizontal",
graphType="StackedPercentLine",
lineThickness=3,
lineType="spline",
smpTitle="Collection of Samples",
smpTitleFontStyle="italic",
subtitle="Random Data",
title="Stacked-Line Graphs",
xAxis=list("V1", "V2"),
xAxis2=list("V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="genre",
colors=list("rgb(255,180,0)", "rgb(255,199,64)", "rgb(194,0,8)", "rgb(255,2,13)", "rgb(19,175,239)"),
dataPointSizeScaleFactor=0,
graphType="Scatter2D",
panelBackgroundColor="rgb(222,222,222)",
scatterStreamBandwidth=0.75,
scatterStreamExtraSpan=0.1,
scatterStreamNumber=1000,
scatterStreamTrueRange="both",
scatterStreamType="mirror",
scatterType="stream",
showConfidenceIntervals=FALSE,
showLoessFit="genre",
xAxis=list("year"),
xAxisGridMinorShow=FALSE,
yAxis=list("box_office"),
yAxisGridMinorShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="genre",
colors=list("rgb(255,180,0)", "rgb(255,199,64)", "rgb(194,0,8)", "rgb(255,2,13)", "rgb(19,175,239)"),
dataPointSizeScaleFactor=0,
graphType="Scatter2D",
panelBackgroundColor="rgb(222,222,222)",
scatterStreamBandwidth=0.75,
scatterStreamExtraSpan=0.2,
scatterStreamNumber=1000,
scatterStreamTrueRange="none",
scatterStreamType="mirror",
scatterType="stream",
showConfidenceIntervals=FALSE,
showLoessFit="genre",
xAxis=list("year"),
xAxisGridMinorShow=FALSE,
yAxis=list("box_office"),
yAxisGridMinorShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="genre",
colors=list("rgb(255,180,0)", "rgb(255,199,64)", "rgb(194,0,8)", "rgb(255,2,13)", "rgb(19,175,239)"),
dataPointSizeScaleFactor=0,
graphType="Scatter2D",
panelBackgroundColor="rgb(222,222,222)",
scatterStreamBandwidth=1,
scatterStreamExtraSpan=0.2,
scatterStreamNumber=1000,
scatterStreamTrueRange="none",
scatterStreamType="mirror",
scatterType="stream",
showConfidenceIntervals=FALSE,
showLoessFit="genre",
xAxis=list("year"),
xAxisGridMinorShow=FALSE,
yAxis=list("box_office"),
yAxisGridMinorShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="genre",
colors=list("rgb(255,180,0)", "rgb(255,199,64)", "rgb(194,0,8)", "rgb(255,2,13)", "rgb(19,175,239)"),
dataPointSizeScaleFactor=0,
graphType="Scatter2D",
panelBackgroundColor="rgb(222,222,222)",
scatterStreamBandwidth=0.75,
scatterStreamExtraSpan=0.1,
scatterStreamNumber=15,
scatterStreamTrueRange="both",
scatterStreamType="mirror",
scatterType="stream",
showConfidenceIntervals=FALSE,
showLoessFit="genre",
xAxis=list("year"),
xAxisGridMinorShow=FALSE,
yAxis=list("box_office"),
yAxisGridMinorShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="genre",
colors=list("rgb(255,180,0)", "rgb(255,199,64)", "rgb(194,0,8)", "rgb(255,2,13)", "rgb(19,175,239)"),
dataPointSizeScaleFactor=0,
graphType="Scatter2D",
panelBackgroundColor="rgb(222,222,222)",
scatterStreamBandwidth=0.75,
scatterStreamExtraSpan=0.1,
scatterStreamNumber=1000,
scatterStreamType="ridge",
scatterType="stream",
showConfidenceIntervals=FALSE,
showLoessFit="genre",
xAxis=list("year"),
xAxisGridMinorShow=FALSE,
yAxis=list("box_office"),
yAxisGridMinorShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-blockbusters-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="panel",
colorBy="genre",
colors=list("rgb(255,180,0)", "rgb(255,199,64)", "rgb(194,0,8)", "rgb(255,2,13)", "rgb(19,175,239)"),
dataPointSizeScaleFactor=0,
graphType="Scatter2D",
panelBackgroundColor="rgb(222,222,222)",
scatterStreamBandwidth=0.75,
scatterStreamExtraSpan=0.1,
scatterStreamNumber=1000,
scatterStreamType="proportional",
scatterType="stream",
showConfidenceIntervals=FALSE,
showLoessFit="genre",
xAxis=list("year"),
xAxisGridMinorShow=FALSE,
yAxis=list("box_office"),
yAxisGridMinorShow=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-comics-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-comics-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
backgroundType="solid",
citation="Visualization inspired by Cédric Scherer's • Data by Claremont Run Project via Malcom Barret • Popularity Scores by ranker.com",
citationFontStyle="italic",
citationScaleFontFactor=0.7,
colorBy="char_costume",
colorKey=list(char_costume=list("Gambit (casual) "="rgb(142,3,142)", "Gambit (costumed) "="rgb(213,5,213)", "Magneto (casual) "="rgb(194,0,8)", "Magneto (costumed) "="rgb(255,2,13)", "Nightcrawler (casual) "="rgb(19,175,239)", "Nightcrawler (costumed) "="rgb(78,195,243)", "Storm (casual)"="rgb(89,90,82)", "Storm (costumed)"="rgb(115,117,106)", "Wolverine (casual) "="rgb(255,180,0)", "Wolverine (costumed) "="rgb(255,199,64)")),
dataPointSizeScaleFactor=0,
decorations=list(image=list(list(height=64, scope="depicted", src="https://www.canvasxpress.org/assets/images/uncannyxmen.png", width=100, x=305, y=-500)), label=list(list(align="left", background="rgb(255,255,255)", color="rgb(142,3,142)", justify=50, label="**Gambit** was introduced for the first time inissue #266 called Gambit => Out of the Frying Pan nevertheless, he is the **4 most popular X-Men character**!", scope="depicted", x=250, y=-90), list(align="left", background="rgb(255,255,255)", color="rgb(255,180,0)", justify=50, label="**Wolverine is the most popular X-Men** and has a regular presence in the X-Men comics between 1975 and 1991.", scope="depicted", x=65, y=70), list(align="left", background="rgb(255,255,255)", color="rgb(194,0,8)", justify=50, label="**Magneto** was ranked by IGN as the *Greatest Comic Book Villain of All Time*. And even though he only appears from time to time he **ranks 2nd **—4 ranks higher than his friend and opponent Professor X!", scope="narrative", x=215, y=-90), list(align="left", background="rgb(255,255,255)", color="rgb(19,175,239)", justify=50, label="The **3rd most popular X-men character Nightcrawler** gets injured during the 'Mutant Massacre' and fell into a coma after an attack from Riptide in issue #211", scope="speech", x=211, y=-110), list(align="left", background="rgb(255,255,255)", color="rgb(89,90,82)", justify=50, label="**Storm** is by far the most thoughtful of the five most popular X-Men characters, especially in issues #220, #223 and #265. Storm **ranks 5th**", scope="thought", x=220, y=-73)), text=list(list(align="left", color="rgb(0,0,0)", label="Depicted", scope="depicted", x=85, y=-50), list(align="left", color="rgb(0,0,0)", label="Narrative\nStatements", scope="narrative", x=85, y=-50), list(align="left", color="rgb(0,0,0)", label="Speech\nBubbles", scope="speech", x=85, y=-50), list(align="left", color="rgb(0,0,0)", label="Thought\nBubbles", scope="thought", x=85, y=-50))),
decorationsClipped=FALSE,
decorationsTextScaleFontFactor=0.45,
fontName="Trebuchet MS",
graphType="Scatter2D",
layoutTopology="4X1",
layoutType="rows",
legendBackgroundBorderColor="rgb(0,0,0)",
legendBackgroundColor="rgb(255,255,255)",
legendColumns=5,
legendOrder=list(char_costume=list("Wolverine (casual) ", "Magneto (casual) ", "Nightcrawler (casual) ", "Gambit (casual) ", "Storm (casual)", "Wolverine (costumed) ", "Magneto (costumed) ", "Nightcrawler (costumed) ", "Gambit (costumed) ", "Storm (costumed)")),
legendPosition="bottom",
legendTextScaleFontFactor=0.45,
marginBottom=25,
marginTop=25,
panelBackgroundColor="rgb(222,222,222)",
plotBackgroundColor="rgb(222,222,222)",
scatterStreamBandwidth=0.55,
scatterStreamExtraSpan=0.1,
scatterStreamWiggles=list("Wolverine (casual) ", "Wolverine (costumed) ", "Magneto (casual) ", "Magneto (costumed) ", "Nightcrawler (casual) ", "Nightcrawler (costumed) ", "Gambit (casual) ", "Gambit (costumed) ", "Storm (casual)", "Storm (costumed)"),
scatterType="stream",
segregateVariablesBy=list("parameter"),
setMaxX=325,
setMinX=75,
showLegendTitle=FALSE,
showLoessFit="char_costume",
stripShow=FALSE,
title="Appearance of the Five Most Popular X-Men Characters in Chris Claremont's Comics",
titleScaleFontFactor=0.6,
xAxis=list("issue"),
xAxisGridMajorLineType="dotted",
xAxisGridMajorSize=2,
xAxisGridMinorShow=FALSE,
yAxis=list("value"),
yAxisGridMajorShow=FALSE,
yAxisGridMinorShow=FALSE,
yAxisShow=FALSE,
yAxisTickBottomShow=FALSE,
yAxisTickTopShow=FALSE,
yAxisTicks=0,
yAxisTitle=FALSE
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularArc=360,
circularRotate=0,
circularType="sunburst",
colorBy="Quarter",
colorScheme="Bootstrap",
graphType="Circular",
hierarchy=list("Quarter", "Month", "Week"),
objectBorderColor="rgb(0,0,0)",
showTransition=FALSE,
title="Simple Sunburst",
xAxis=list("Sales")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularArc=360,
circularRotate=0,
circularType="sunburst",
colorBy="Month",
colorScheme="RdYlBu",
graphType="Circular",
hierarchy=list("Quarter", "Month", "Week"),
objectBorderColor="rgb(0,0,0)",
showTransition=FALSE,
title="Simple Sunburst Colored by Category",
xAxis=list("Sales")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularArc=360,
circularRotate=-90,
circularType="sunburst",
colorScheme="Bootstrap",
graphType="Circular",
hierarchy=list("Quarter", "Month", "Week"),
objectBorderColor="rgb(0,0,0)",
showTransition=FALSE,
title="Rotated Sunburst",
xAxis=list("Sales")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-sunburst-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
circularArc=180,
circularRotate=-90,
circularType="sunburst",
colorScheme="Bootstrap",
graphType="Circular",
hierarchy=list("Quarter", "Month", "Week"),
objectBorderColor="rgb(0,0,0)",
showTransition=FALSE,
title="Rotated Half Sunburst",
xAxis=list("Sales")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
binned=TRUE,
boxplotWhiskersType="single",
colorBy="dataset",
colorScheme="JCO",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dataset"),
histogramBins=150,
layoutTopology="1X3",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
plotStyle="open",
segregateVariablesBy=list("variable"),
showBoxplotOriginalData=TRUE,
smpTextRotate=90,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
boxplotWhiskersType="single",
colorBy="dataset",
colorScheme="JCO",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dataset"),
histogramBins=150,
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
plotStyle="open",
segregateVariablesBy=list("variable"),
smpTextRotate=90,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
boxplotWhiskersType="single",
colorBy="variable",
colorScheme="JCO",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dataset"),
histogramBins=150,
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
plotStyle="open",
smpTextRotate=90,
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
boxplotWhiskersType="single",
colorBy="dataset",
colorScheme="JCO",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dataset"),
histogramBins=150,
layoutTopology="1X3",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
plotStyle="open",
segregateVariablesBy=list("variable"),
showViolinBoxplot=TRUE,
smpTextRotate=90,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-exprtcga-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
boxplotWhiskersType="single",
colorBy="dataset",
colorScheme="JCO",
graphOrientation="vertical",
graphType="Dotplot",
groupingFactors=list("dataset"),
histogramBins=150,
jitter=TRUE,
layoutTopology="1X3",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
plotStyle="open",
segregateVariablesBy=list("variable"),
showViolinBoxplot=TRUE,
smpTextRotate=90,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorScheme="JCO",
graphType="Scatter2D",
hideHistogram=FALSE,
histogramBins=15,
histogramType="staggered",
layoutTopology="1X3",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
showFilledHistogramDensity=TRUE,
showHistogram=TRUE,
showHistogramBars=TRUE,
showHistogramDensity=TRUE,
showHistogramMedian=FALSE,
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1"),
xAxisRugShow=FALSE,
xAxisTitle="Expression",
yAxisTitle="Density"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="dataset",
colorScheme="JCO",
graphType="Scatter2D",
hideHistogram=FALSE,
histogramBins=15,
histogramType="staggered",
layoutTopology="1X3",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
segregateVariablesBy=list("dataset"),
showFilledHistogramDensity=TRUE,
showHistogram="dataset",
showHistogramBars=TRUE,
showHistogramDensity=TRUE,
showHistogramMedian=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextColor="rgb(0,0,0)",
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1"),
xAxisRugShow=FALSE,
xAxisTitle="Expression",
yAxisTitle="Density"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="dataset",
colorKey=list(dataset=list(BRCA="#0073c2", LUSC="#efc000", OV="#868686")),
colorScheme="JCO",
graphType="Scatter2D",
hideHistogram=TRUE,
histogramBins=15,
histogramType="staggered",
layoutTopology="1X3",
legendColumns=3,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="top",
legendTextScaleFontFactor=1.5,
segregateSamplesBy=list("sample"),
showFilledHistogramDensity=TRUE,
showHistogram="dataset",
showHistogramDensity=TRUE,
showHistogramMedian=TRUE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripBackgroundColor="rgba(0,0,0,0)",
stripTextColor="rgb(0,0,0)",
toolbarType="over",
xAxis=list("GATA3", "PTEN", "XBP1"),
xAxisRugShow=TRUE,
xAxisTitle="Expression",
yAxisTitle="Density"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="dataset",
colorScheme="JCO",
graphType="Scatter2D",
layoutTopology="1X3",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
scatterType="qq",
xAxis=list("GATA3", "PTEN", "XBP1"),
xAxisTitle="",
yAxisTitle=""
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-exprtcgat-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
colorBy="dataset",
colorScheme="JCO",
graphType="Scatter2D",
layoutTopology="1X3",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
scatterType="cdf",
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
xAxis=list("GATA3", "PTEN", "XBP1"),
xAxisTitle="Expression",
yAxisTitle="F(Expression)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-cars-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-cars-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Country",
graphType="TagCloud",
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
showTransition=FALSE,
xAxis=list("MPG", "Weight", "Drive_Ratio", "Horsepower", "Displacement", "Cylinders")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-tree-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-tree-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphType="Tree",
hierarchy=list("Level1", "Level2", "Level3"),
showTransition=TRUE,
title="Collapsible Tree",
treeLabelAlign="left",
xAxis=list("Order")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-tree2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-tree2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphType="Tree",
hierarchy=list("Level1", "Level2"),
showTransition=TRUE,
title="Collapsible Tree",
xAxis=list("Order")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-tree-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-tree-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Annot1",
graphType="Tree",
hierarchy=list("Level1", "Level2", "Level3"),
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
showTransition=TRUE,
title="Collapsible Tree",
treeLabelAlign="right",
xAxis=list("Order")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-tree-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-tree-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Annot2",
graphType="Tree",
hierarchy=list("Level1", "Level2", "Level3"),
showTransition=TRUE,
title="Collapsible Tree",
xAxis=list("Order")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-tree-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-tree-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Annot2",
graphType="Tree",
hierarchy=list("Level1", "Level2", "Level3"),
showTransition=TRUE,
title="Collapsible Tree",
treeType="circular",
xAxis=list("Order")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-bracket-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-bracket-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphType="Tree",
hierarchy=list("Final", "Semifinal", "4th", "8th"),
showTransition=FALSE,
title="Bracket",
treeBracketLabelAlign="left",
treeClickDisable=TRUE,
treeInverted=TRUE,
treeNodeSizeScaleFactor=4,
treeType="bracket",
xAxis=list("Goals")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-stacked1-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-stacked1-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="GNI",
decorations=list(marker=list(list(align="center", baseline="middle", color="red", sample="Norway", text="Norway is the country\nwith the largest GNI\naccording to 2014 census", variable="population", x=0.65, y=0.7), list(align="center", baseline="middle", color="red", sample="China", text="China is the country with\nthe largest population\naccording to 2014 census", variable="population", x=0.15, y=0.1))),
graphType="Treemap",
objectBorderColor="rgb(0,0,0)",
showDecorations=FALSE,
showTransition=FALSE,
title="Population colored by Gross National Income 2014",
xAxis=list("population"),
afterRender=list(list("groupSamples", list("continent")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-generic-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-generic-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-generic-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
varAnnot=z,
graphType="Treemap",
xAxis=list("V1", "V2", "V3", "V4")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-stacked1-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-stacked1-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
colorBy="GNI",
decorations=list(marker=list(list(align="center", baseline="middle", color="red", sample="Norway", text="Norway is the country\nwith the largest GNI\naccording to 2014 census", variable="population", x=0.65, y=0.7), list(align="center", baseline="middle", color="red", sample="China", text="China is the country with\nthe largest population\naccording to 2014 census", variable="population", x=0.2, y=0.1))),
graphOrientation="vertical",
graphType="Stacked",
legendInside=TRUE,
legendPosition="right",
objectBorderColor="rgb(0,0,0)",
smpTextRotate=45,
subtitle="2014 Census",
title="Country Population colored by Gross National Income",
treemapBy=list("ISO3"),
widthFactor=4,
xAxis=list("population"),
xAxisGridMinorShow=FALSE,
afterRender=list(list("groupSamples", list("continent")))
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-upsetMovies-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
z=read.table("https://www.canvasxpress.org/data/r/cX-upsetMovies-var.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
varAnnot=z,
graphType="Heatmap",
heatmapType="upset",
xAxis=list("Action", "Adventure", "Children", "Comedy", "Crime", "Documentary", "Drama", "Fantasy", "Noir", "Horror", "Musical", "Mystery", "Romance", "SciFi", "Thriller", "War", "Western")
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-upsetMutations-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphType="Heatmap",
heatmapType="upset",
xAxis=list("TTN", "PTEN", "TP53", "EGFR", "MUC16", "FLG", "RYR2", "PCLO", "PIK3R1", "PIK3CA", "NF1", "MUC17", "HMCN1", "SPTA1", "USH2A", "RB1", "PKHD1", "OBSCN", "AHNAK2", "RYR3", "RELN", "FRAS1", "GPR98", "DNAH5", "ATRX", "APOB", "TCHH", "SYNE1", "LRP2", "KEL", "HRNR", "DNAH3", "COL6A3", "MUC5B", "LAMA1", "DSP", "DNAH8", "CNTNAP2", "SDK1", "NBPF10", "DNAH2", "NLRP5", "MLL3", "IDH1", "HCN1", "FCGBP", "DOCK5", "RIMS2", "PCDHA1", "MXRA5", "HEATR7B2", "GRIN2A", "FGD5", "TMEM132D", "STAG2", "SEMA3C", "SCN9A", "PRDM9", "POM121L12", "PIK3CG", "PDGFRA", "GABRA6", "FLG2", "FBN3", "FBN2", "FAT2", "DNAH11", "DMD", "COL1A2", "ABCC9", "XIRP2", "TSHZ2", "TEX15", "SLIT3", "RBM47", "PIK3C2G", "PCDH11X", "MYH2", "MACF1", "KSR2", "DNAH9", "DCHS2", "CSMD3", "CDH18", "BCOR", "AHNAK", "ZAN", "TRRAP", "THSD7B", "TAF1L", "SPAG17", "SLCO5A1", "SCN10A", "RYR1", "RIMBP2", "PLEKHG4B", "PCDHB7", "NPTX2", "NOS1", "LZTR1")
)
library(canvasXpress)
canvasXpress(
vennData=data.frame(A=340, AB=639, ABC=552, ABCD=148, ABD=578, AC=456, ACD=298, AD=257, B=562, BC=915, BCD=613, BD=354, C=620, CD=143, D=592),
vennLegend=list(A="List 1", B="List 2", C="List 3", D="List 4"),
graphType="Venn",
showTransition=FALSE,
vennGroups=4
)
library(canvasXpress)
canvasXpress(
vennData=data.frame(A=340, AB=639, ABC=552, ABCD=148, ABD=578, AC=456, ACD=298, AD=257, B=562, BC=915, BCD=613, BD=354, C=620, CD=143, D=592),
vennLegend=list(A="List 1", B="List 2", C="List 3", D="List 4"),
graphType="Venn",
showTransition=FALSE,
vennGroups=3
)
library(canvasXpress)
canvasXpress(
vennData=data.frame(A=340, AB=639, ABC=552, ABCD=148, ABD=578, AC=456, ACD=298, AD=257, B=562, BC=915, BCD=613, BD=354, C=620, CD=143, D=592),
vennLegend=list(A="List 1", B="List 2", C="List 3", D="List 4"),
graphType="Venn",
vennGroups=2
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=FALSE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
violinScale="area",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
graphOrientation="horizontal",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=FALSE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=FALSE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
violinScale="count",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=FALSE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
violinScale="width",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotNotched=TRUE,
boxplotWishkersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=FALSE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
violinTrim=FALSE,
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotNotched=TRUE,
boxplotWishkersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotMean=TRUE,
boxplotMeanColor="rgb(255,215,0)",
boxplotMeanColorBorder="red",
boxplotNotched=TRUE,
boxplotWishkersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotMedianColor="red",
boxplotMedianWidth=5,
boxplotNotched=TRUE,
boxplotWishkersType="single",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showBoxplotOriginalData=TRUE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
binAlignment="center",
binned=TRUE,
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=FALSE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showBoxplotOriginalData=TRUE,
showLegend=FALSE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotColor="gold",
colorBy="dose",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=TRUE,
panelBackgroundColor="#E5E5E5",
shapeBy="supp",
showBoxplotIfViolin=TRUE,
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="dose",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showLegend=TRUE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="dose",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showLegend=TRUE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="dose",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showLegend=TRUE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotConnect=TRUE,
colorBy="supp",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
showBoxplotIfViolin=TRUE,
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
violinColor="gold",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
boxplotConnect=TRUE,
colorBy="supp",
colorScheme="GGPlot",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
panelBackgroundColor="#E5E5E5",
segregateSamplesBy=list("supp"),
showBoxplotIfViolin=TRUE,
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose"),
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-toothgrowth-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
axisAlgorithm="rPretty",
axisTitleFontStyle="bold",
background="white",
backgroundType="panel",
colorBy="supp",
colorScheme="GGPlot",
connectBy="order",
graphOrientation="vertical",
graphType="Boxplot",
groupingFactors=list("dose", "supp"),
guidesColor="white",
guidesLineType="solid",
guidesShow=TRUE,
jitter=FALSE,
panelBackgroundColor="#E5E5E5",
segregateSamplesBy=list("supp"),
showBoxplotIfViolin=TRUE,
showBoxplotOriginalData=TRUE,
showLegend=TRUE,
showViolinBoxplot=TRUE,
smpTextRotate=90,
smpTitle="dose",
smpTitleFontStyle="bold",
stringSampleFactors=list("dose", "order"),
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
xAxis=list("len"),
xAxis2Show=FALSE,
xAxisGridMajorColor="white",
xAxisGridMinorShow=FALSE,
xAxisTitle="len"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-waterfall-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-waterfall-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Bar",
showLegend=FALSE,
showSampleNames=FALSE,
title="Waterfall plot changes in QoL scores",
xAxis=list("QoL-Score"),
xAxisTitle="Change from baseline (%) in QoL score"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-waterfall-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-waterfall-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
graphOrientation="vertical",
graphType="Bar",
segregateSamplesBy=list("Treatment"),
showLegend=FALSE,
showSampleNames=FALSE,
stripBackgroundBorderColor="rgb(0,0,0)",
stripTextColor="rgb(0,0,0)",
title="Waterfall plot changes in QoL scores",
xAxis=list("QoL-Score"),
xAxisTitle="Change from baseline (%) in QoL score"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-waterfall2-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/r/cX-waterfall2-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
smpAnnot=x,
colorBy="Tissue",
colorScheme="NEJM",
graphOrientation="vertical",
graphType="Bar",
legendInside=TRUE,
legendKeyBackgroundBorderColor="rgba(255,255,255,0)",
legendKeyBackgroundColor="rgba(255,255,255,0)",
legendPosition="topRight",
showSampleNames=FALSE,
smpOverlayProperties=list(Status=list(position="bottom", scheme="White")),
smpOverlays=list("Status"),
title="Clinical Trial",
xAxis=list("Shrinkage"),
xAxis2Show=FALSE,
xAxisTitle="Best tumor shrinkage (%)"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-waterfall3-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphOrientation="vertical",
graphType="Waterfall",
showLegend=FALSE,
smpTextRotate=90,
smpTitle="Samples",
title="Traditional Waterfall",
xAxis=list("V1"),
xAxisTitle="Value"
)
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/r/cX-waterfall4-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
data=y,
graphOrientation="vertical",
graphType="Waterfall",
smpTextRotate=90,
smpTitle="Samples",
title="Traditional Waterfall",
xAxis=list("V1", "V2"),
xAxisTitle="Value"
)
