plot_condition_compositions {XINA} | R Documentation

## plot_condition_compositions

### Description

computes condition composition of the XINA clustering results and draws pie-charts.

### Usage

    plot_condition_compositions(clustering_result, bullseye = FALSE,
      ggplot_theme = NULL)

### Arguments

`clustering_result` | A list containing XINA clustering results. See xina_clustering
`bullseye` | If it is TRUE, draw bullseye plot instead of the pie-chart. Default is FALSE
`ggplot_theme` | This is ggplot theme to modify condition composition pie-chart and bulles eye plots.

### Value

A condition composition plot and a data frame containing condition compositions of the clusters

### Examples

    # load XINA example data
    data(xina_example)

    # Plot condition composition pie-chart with default option
    plot_condition_compositions(example_clusters)

    # Make a new color code for conditions
    condition_colors <- c("tomato","steelblue1","gold")
    names(condition_colors) <- example_clusters$condition
    example_clusters$color_for_condition <- condition_colors

    # Draw condition composition pie-chart with the new color code
    plot_condition_compositions(example_clusters)

    # Draw condition composition bullseye plot
    plot_condition_compositions(example_clusters, bullseye = TRUE)

[Package XINA version 1.2.0 Index]