plot_condition_compositions {XINA} | R Documentation |
computes condition composition of the XINA clustering results and draws pie-charts.
plot_condition_compositions(clustering_result, bullseye = FALSE, ggplot_theme = NULL)
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. |
A condition composition plot and a data frame containing condition compositions of the clusters
# 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)