Getting Started
Overview
Installation
API
3D Attributes Animations and Visualization Transitions Area Graphs Aspect Ratio, Space and width Axis Bar Graphs Bin Plots Bins Boxplot Graphs Circular Graphs Citations or References Clustering Colors Combination Plots Confidence Intervals Contours Correlation Graphs DOE Data Data Context Data Customizer Data Faceting Data Filters Data Point Attributes Data Ratio Reference Data Selection Data Sorting Data Table Data Table/Filter Data Time Series Data Transformation Data UI Widgets Debug Decorations Dendrograms Density Plots Dotplot Graphs Effect Error Bars Events Fish Graphs Fit Lines Foreground and Background Gantt Charts General General Attributes Genome Browser Genome Browser Features Genome Browser Features: General parameters used in genome browser features Genome Browser Sequences Genome Browser Sequences: General parameters used in genome browser sequeces Genome Browser Tracks Genome Browser Tracks: General parameters used in genome browser tracks Gradients Graph Metadata Grey Out Heatmap Color Indicators Heatmap Graphs Hierarchy Histograms Ideograms Images Kaplan Meier Plots Legends Line Graphs Lines Loess Lollipop Graphs Manhattan Plots Maps Maps Albers Maps Leaflet Maps Orthographic Margins Meter Graphs Missing Data Motion Charts Network Algorithm Parameters Network Cola Algorithm Parameters Network Communities Network Graphs Network Node and Edge Attributes Oncoprint Graphs Overlays Parallel Coordinates Graphs Pie Charts Plot and Panel Area Plot and Panel Areas Plot area Print Quantile Regression Plots R R-Axis Random Regression Remote Procedures Ridgeline Plots Samples Sankey Diagrams Scatter Plot Matrix Scatter Plots Shadows Shapes Stream Plots Swimmer Graphs Tag Cloud Text Text Placement Time Series Titles and Subtitles Transparency Treemap Graphs Trees UpSet Plots Variables Venn Diagrams Violin Plots Visium Plots X-Axis Y-Axis Z-Axis Zooming, Panning and Resizing cxplot false

Data Faceting : Data faceting related parameters

# segregateSamplesBy

An array that holds the annotation(s) used to segregate the samples ala Facet way in R. It must be categories in the data.x object
Type: array
Default: []
Used in: Area, AreaLine, Bar, Boxplot, DotLine, Dotplot, Heatmap, Line, Pie, Sankey, Scatter2D, Scatter3D, ScatterBubble2D, Stacked, StackedLine, StackedPercent, StackedPercentLine

# segregateVariablesBy

An array that holds the annotation(s) used to segregate the variables ala Facet way in R. It must be categories in the data.z object
Type: array
Default: []
Used in: Area, AreaLine, Bar, Boxplot, DotLine, Dotplot, Heatmap, Line, Pie, Sankey, Scatter2D, Scatter3D, ScatterBubble2D, Stacked, StackedLine, StackedPercent, StackedPercentLine

# splitSamplesBy

Factor (in the x data object) used to split the samples ala split in complex heatmap
Type: string
Default: false
Used in: Area, AreaLine, Bar, Boxplot, DotLine, Dotplot, Heatmap, Line, Pie, Sankey, Scatter2D, Scatter3D, ScatterBubble2D, Stacked, StackedLine, StackedPercent, StackedPercentLine

# splitSeparation

Length in pixels to separate the splits in samples and variables
Type: integer
Default: 10
Used in: Area, AreaLine, Bar, Boxplot, DotLine, Dotplot, Heatmap, Line, Pie, Sankey, Scatter2D, Scatter3D, ScatterBubble2D, Stacked, StackedLine, StackedPercent, StackedPercentLine

# splitVariablesBy

Factor (in the z data object) used to separate the variables ala split in complex heatmap
Type: string
Default: false
Used in: Area, AreaLine, Bar, Boxplot, DotLine, Dotplot, Heatmap, Line, Pie, Sankey, Scatter2D, Scatter3D, ScatterBubble2D, Stacked, StackedLine, StackedPercent, StackedPercentLine

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