Pairwise_heatmap: A function to plot a heatmap from a symmetric matrix.

In PopGenHelpR: Streamline Population Genomic and Genetic Analyses

A function to plot a heatmap from a symmetric matrix.

Description

A function to plot a heatmap from a symmetric matrix.

Usage

Pairwise_heatmap(
  dat,
  statistic,
  col = c("#abd9e9", "#2c7bb6", "#ffffbf", "#fdae61", "#d7191c"),
  breaks = NULL
)

Arguments

dat	Data frame or character string that supplies the input data. If it is a character string, the file should be a csv. If it is a csv, the 1st row should contain the individual/population names. The columns should also be named in this fashion.
statistic	Character indicating the statistic represented in the matrix, this will be used to label the plot.
col	Character vector indicating the colors to be used in plotting. The vector should contain two colors, the first will be the low value, the second will be the high value.
breaks	Numeric. The breaks used to generate the color ramp when plotting. The number of breaks should match the number of colors.

Value

A heatmap plot

Examples

#' data(Fst_dat)
Fst <- Fst_dat[[1]]
Fstat_plot <- Pairwise_heatmap(dat = Fst, statistic = 'FST')

PopGenHelpR documentation built on July 3, 2025, 1:09 a.m.