quantroPlot: Plot results from 'quantro' function.

In quantro: A test for when to use quantile normalization

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)

quantro documentation built on Nov. 8, 2020, 8:28 p.m.