plot_sample_counts: Plot distribution of sample counts

In campbio/musicatk: Mutational Signature Comprehensive Analysis Toolkit

Plot distribution of sample counts

Description

Displays the proportion of counts for each mutation type across one or more samples.

Usage

plot_sample_counts(
  musica,
  sample_names,
  table_name = NULL,
  text_size = 10,
  show_x_labels = TRUE,
  show_y_labels = TRUE,
  same_scale = TRUE,
  annotation = NULL
)

Arguments

musica	A musica object.
sample_names	Names of the samples to plot.
table_name	Name of table used for plotting counts. If NULL, then the first table in the musica object will be used. Default NULL.
text_size	Size of axis text. Default 10.
show_x_labels	If TRUE, the labels for the mutation types on the x-axis will be shown. Default TRUE.
show_y_labels	If TRUE, the y-axis ticks and labels will be shown. Default TRUE.
same_scale	If TRUE, the scale of the y-axis for each sample will be the same. If FALSE, then the scale of the y-axis will be adjusted for each sample. Default TRUE.
annotation	Vector of annotations to be displayed in the top right corner of each sample. Vector length must be equivalent to the number of samples. Default NULL.

Value

Generates a ggplot object

Examples

data(musica_sbs96)
plot_sample_counts(musica_sbs96, sample_names = 
sample_names(musica_sbs96)[1])

campbio/musicatk documentation built on July 14, 2024, 8:28 a.m.