plot_bootstrap_mixing_proportions: Plot the boostrapped mixing proportions

In caravagnalab/mobster: MOBSTER - Model-based tumour subclonal deconvolution

Plot the boostrapped mixing proportions

Description

From the results of a call to mobster_boostrap, and the results of a call to bootstrapped_statistics, a boxplot with the mixing proportions is produced.

Usage

plot_bootstrap_mixing_proportions(
  x,
  bootstrap_results,
  bootstrap_statistics,
  colors = c(Tail = "gainsboro")
)

Arguments

x	A MOBSTER fit.
bootstrap_results	Results of a call to mobster_boostrap.
colors	If provided, these colours will be used for each cluster. If a subset of colours is provided, palette Set1 from RColorBrewer is used. By default the tail colour is provided as 'gainsboro'.
bootstrap_statisticsResults	of a call to bootstrapped_statistics.

Value

A barplot of the bootstrapped mixing proportions.

Examples

# Random small dataset
dataset = random_dataset(N = 200, seed = 123, Beta_variance_scaling = 100)
x = mobster_fit(dataset$data, auto_setup = 'FAST')

# Just 5 resamples of a nonparametric bootstrap run, disabling the parallel engine
options(easypar.parallel = FALSE)
boot_results = mobster_bootstrap(x$best, n.resamples = 5, auto_setup = 'FAST')

boot_stats = bootstrapped_statistics(x$best, boot_results)
plot_bootstrap_mixing_proportions(x$best, boot_results, boot_stats)

caravagnalab/mobster documentation built on March 25, 2023, 3:40 p.m.