cor_matrix: Correlation-based heatmap

In byandell/corheatmap: correlation based heatmap

Description

Transforms data frame into matrix with options to be plotted using d3heatmap or heatmap.

Usage

cor_matrix(df, row_names = is.null(rownames(df)), cluster = TRUE,
  beta = 1, num_rows = 500)

## S3 method for class 'cor_matrix'
plot(x, rowname = TRUE, colname = TRUE,
  cluster = attr(x, "cluster"), beta = attr(x, "beta"),
  category = c("div", "seq", "qual"), d3map = interactive(),
  palette = palettes, scale = c("none", "row", "column"), ...)

Arguments

df	data frame with matrix to be plotted
row_names	column number or name with row names, or vector of row names (default column 1 if no rownames on df)
cluster	cluster rows and columns if TRUE (default)
beta	attenuation parameter for clustering (default 1)
num_rows	number of rows to plot
rowname	include row names in plot if TRUE
colname	include column names in plot if TRUE
category	category of RColorBrewer palettes (see brewer.pal.info)
d3map	use d3heatmap interactive plot if TRUE
palette	colorblind friendly palette to plot (see brewer.pal.info)
...	other plot parameters (ignored)
cluster	cluster rows and columns if TRUE (default)
beta	attenuation parameter for clustering (default 1)

Author(s)

Brian S Yandell, [e-mail]

Examples

cor_matrix(mtcars)

plot(cor_matrix(mtcars), scale="column", d3map=FALSE)
plot(cor_matrix(cor(mtcars)), d3map=FALSE)

byandell/corheatmap documentation built on May 13, 2019, 9:27 a.m.