plotMutationsPerCell: Plot results per cell

In bastiaanvdroest/DriverProbabilities: Risk analysis of mutating driver genes

Description

Function to plot \(a subset of\) the results from calcCellNumb, calcMutEvents and probDriverMut. Unit is cells

Usage

plotMutationsPerCell(r, xmax, ymax, logscale = c("x", "y"), vline = F,
  hline = F, xlab = "Number of cells",
  ylab = "Number of SNVs in oncogenes", title = "", pdf_out)

Arguments

r	Dataframe with results from probDriverMut
xmax	Numeric with x-axis maximum
ymax	Numeric with y-axis maximum
logscale	(Optional) Character vector indicating which axes must be set to logscale. Default is c("x","y")
vline	Numeric vector with vertical lines
hline	Numeric vector with horizontal lines
xlab	Character string with label for x-axis. Default is "Number of cells"
ylab	Character string with label for y-axis. Default is "Number of SNVs in oncogenes"
title	Character string with title of figure. Default is "Mutation accumulation of driver gene mutations"
pdf_out	Character with file name where to save the figure. If not given, figure will not be saved, only returned from function

Value

Plot of mutational events against cell numbers.

Examples

r = data.frame(cells = calcCellNumb, muts = calcMutEvents, probs = probDriverMut)

mutation_plot = plotMutationsPerCell(r, xmax = 1e13, ymax = 1e4, hline = 1, vline = 1e6)

bastiaanvdroest/DriverProbabilities documentation built on Dec. 8, 2019, 10:29 a.m.