marHistHeatMap: Heatmap with marginal histograms

In PoolBal: Balancing Central and Marginal Rejection of Pooled p-Values

Heatmap with marginal histograms

Description

Display a matrix using a heatmap with marginal histograms.

Usage

marHistHeatMap(
  mat,
  main = "",
  ylab = expression(eta),
  xlab = "lnD(a,w)",
  pal = NULL,
  histFill = adjustcolor("firebrick", 0.5),
  ...
)

Arguments

mat	numeric matrix to be plotted
main	title
ylab	y axis label
xlab	x axis label
pal	palette for heatmap
histFill	colour to fill histogram bars
...	additional arguments to image

Details

This function accepts a matrix of values and plots the matrix with saturation/hue determined by a provided palette argument generated by colorRampPalette, for example. Marginal histograms summarizing the relative frequencies along both dimensions are also plotted to give a complete sense of the individual distributions alongside their joint distribution. This was designed to summarize the alternative distribution space summarized by altFrequencyMat, and the defaults reflect this.

Value

Plot the data using a heatmap and marginal histograms and return nothing.

Author(s)

Chris Salahub

Examples

marHistHeatMap(altFrequencyMat(c(0, 2)))

PoolBal documentation built on Nov. 22, 2023, 5:07 p.m.