Violin Chart

Violinplots allow to visualize the distribution of a numeric variable for one or several groups. It is really close from a boxplot, but allows a deeper understanding of the distribution. Violins are particularly adapted when the amount of data is huge and showing individual observations gets impossible.



Color Themes


{
   "x" : {
      "dose" : ["0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","1","1","1","1","1","1","1","1","1","1","2","2","2","2","2","2","2","2","2","2","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","0.5","1","1","1","1","1","1","1","1","1","1","2","2","2","2","2","2","2","2","2","2"],
      "order" : [1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10],
      "supp" : ["VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","VC","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ","OJ"]
   },
   "y" : {
      "data" : [
        [4.2,11.5,7.3,5.8,6.4,10,11.2,11.2,5.2,7,16.5,16.5,15.2,17.3,22.5,17.3,13.6,14.5,18.8,15.5,23.6,18.5,33.9,25.5,26.4,32.5,26.7,21.5,23.3,29.5,15.2,21.5,17.6,9.7,14.5,10,8.2,9.4,16.5,9.7,19.7,23.3,23.6,26.4,20,25.2,25.8,21.2,14.5,27.3,25.5,26.4,22.4,24.5,24.8,30.9,26.4,27.3,29.4,23]
      ],
      "smps" : ["Var1","Var2","Var3","Var4","Var5","Var6","Var7","Var8","Var9","Var10","Var11","Var12","Var13","Var14","Var15","Var16","Var17","Var18","Var19","Var20","Var21","Var22","Var23","Var24","Var25","Var26","Var27","Var28","Var29","Var30","Var31","Var32","Var33","Var34","Var35","Var36","Var37","Var38","Var39","Var40","Var41","Var42","Var43","Var44","Var45","Var46","Var47","Var48","Var49","Var50","Var51","Var52","Var53","Var54","Var55","Var56","Var57","Var58","Var59","Var60"],
      "vars" : ["len"]
   }
}
{
   "axisAlgorithm" : "rPretty",
   "axisTickScaleFontFactor" : 1.8,
   "axisTitleFontStyle" : "bold",
   "axisTitleScaleFontFactor" : 1.8,
   "background" : "white",
   "backgroundType" : "window",
   "backgroundWindow" : "#E5E5E5",
   "graphOrientation" : "vertical",
   "graphType" : "Boxplot",
   "groupingFactors" : ["dose"],
   "guides" : "solid",
   "guidesColor" : "white",
   "showBoxplotIfViolin" : "false",
   "showLegend" : "false",
   "showViolinBoxplot" : "true",
   "smpLabelRotate" : "90",
   "smpLabelScaleFontFactor" : 1.8,
   "smpTitle" : "dose",
   "smpTitleFontStyle" : "bold",
   "smpTitleScaleFontFactor" : 1.8,
   "theme" : "CanvasXpress",
   "title" : "The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
   "violinScale" : "width",
   "xAxis2Show" : "false",
   "xAxisMinorTicks" : "false",
   "xAxisTickColor" : "white",
   "xAxisTitle" : "len"
}
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/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/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",
  axisTickScaleFontFactor=1.8,
  axisTitleFontStyle="bold",
  axisTitleScaleFontFactor=1.8,
  background="white",
  backgroundType="window",
  backgroundWindow="#E5E5E5",
  graphOrientation="vertical",
  graphType="Boxplot",
  groupingFactors=list("dose"),
  guides="solid",
  guidesColor="white",
  showBoxplotIfViolin=FALSE,
  showLegend=FALSE,
  showViolinBoxplot=TRUE,
  smpLabelRotate=90,
  smpLabelScaleFontFactor=1.8,
  smpTitle="dose",
  smpTitleFontStyle="bold",
  smpTitleScaleFontFactor=1.8,
  theme="CanvasXpress",
  title="The Effect of Vitamin C on Tooth Growth in Guinea Pigs",
  violinScale="width",
  xAxis2Show=FALSE,
  xAxisMinorTicks=FALSE,
  xAxisTickColor="white",
  xAxisTitle="len"
)