plot_exposure_internal: Plot a matrix of exposures in a single plot.

Description

Plot a matrix of exposures in a single plot.

Usage

plot_exposure_internal(
  exposure,
  plot.proportion = FALSE,
  xlim = NULL,
  ylim = NULL,
  legend.x = NULL,
  legend.y = NULL,
  cex.legend = 0.9,
  cex.yaxis = 1,
  cex.xaxis = NULL,
  plot.sample.names = TRUE,
  yaxis.labels = NULL,
  ...
)

Value

An invisible list. The first element is a logical value indicating whether the plot was successful. The second element is a numeric vector giving the coordinates of the bar x-axis midpoints drawn, useful for adding to the graph.

Arguments

exposure: Exposures as a numerical matrix (or data.frame) with signatures in rows and samples in columns. Rownames are taken as the signature names and column names are taken as the sample IDs. If you want exposure sorted from largest to smallest, use sort_exposure. Do not use column names that start with multiple underscores. The exposures will often be mutation counts, but could also be e.g. mutations per megabase.
plot.proportion: Plot exposure proportions rather than counts.
xlim, ylim: Limits for the x and y axis. If NULL(default), the function tries to do something reasonable.
legend.x, legend.y: The x and y co-ordinates to be used to position the legend.
cex.legend: A numerical value giving the amount by which legend plotting text and symbols should be magnified relative to the default.
cex.yaxis: A numerical value giving the amount by which y axis values should be magnified relative to the default.
cex.xaxis: A numerical value giving the amount by which x axis values should be magnified relative to the default. If NULL(default), the function tries to do something reasonable.
plot.sample.names: Whether to plot sample names below the x axis. Default is TRUE. Ignored if there are no column names on exposure.
yaxis.labels: User defined y axis labels to be plotted. If NULL(default), the function tries to do something reasonable.
...: Other arguments passed to barplot. If ylab is not included, it defaults to a value depending on plot.proportion. If col is not supplied the function tries to do something reasonable.