marHistHeatMap {PoolBal} | R Documentation |
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)))