quantroPlot: Plot results from 'quantro' function.

In stephaniehicks/quantro: A test for when to use quantile normalization

Plot results from quantro function.

Description

This function plots the histogram of the null test statistics from permutation test in the quantro function.

Usage

quantroPlot(
  object,
  savePlot = FALSE,
  xLab = NULL,
  yLab = NULL,
  mainLab = NULL,
  binWidth = NULL
)

Arguments

object	a quantro object from quantro
savePlot	a TRUE/FALSE object argument determining if the plot will be saved for further use or immediately displayed on the screen.
xLab	label for x-axis
yLab	label for y-axis
mainLab	title of plot
binWidth	binwidth or histogram. Default is the stat_bin default.

Value

A histogram will be plotted containing the null test statistics when using boostrapped samples. The red line is the observed test statistic quantroStat from quantro().

Examples

library(minfi)
data(flowSorted)
p <- getBeta(flowSorted, offset = 100)
pd <- pData(flowSorted)

library(doParallel)
registerDoParallel(cores=4)
qtest <- quantro(p, pd$CellType, B = 100)
quantroPlot(qtest)

stephaniehicks/quantro documentation built on Nov. 7, 2022, 1:42 p.m.