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Kernel matrix heatmap

Source: R/kernel_study.R
heatK.Rd

`heatK()` plots the heatmap of a kernel matrix.

Usage

heatK(
  K,
  cos.norm = FALSE,
  title = NULL,
  color = c("red", "yellow"),
  raster = FALSE
)

Arguments

K

Kernel matrix (class "matrix").

cos.norm

If TRUE, the cosine normalization is applied to the kernel matrix so its elements have a maximum value of 1. (Defaults: FALSE).

title

Heatmap title (optional).

color

A vector of length 2 containing two colors. The first color will be used to represent the minimum value and the second the maximum value of the kernel matrix.

raster

In large kernel matrices, raster = TRUE will draw quicker and better-looking heatmaps. (Defaults=FALSE).

Value

A `ggplot2` heatmap.

Examples

data <- matrix(rnorm(150),ncol=50,nrow=30)
K <- Linear(data)
heatK(K)