drawheat: Wrapper for heatmap drawing.

In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems

Description

Wrapper for heatmap drawing.

Usage

drawheat(thdat, groups = NULL, log = FALSE,
			mar = c(12, 10), distfun = dist.eucsq,
			hclustfun = ward, cexCol = 1, cexRow = 1)

Arguments

thdat	A numeric data matrix. Samples in rows, features in columns.
groups	A character vector with as many elements as thdat has rows, i.e. samples, assigning a group to each sample.

log	Boolean. Log the data or not.
mar	The margin argument to heatmap.2 function. Vector of numeric, specifying the bottom and left margins, respectively.
distfun	Which distance function to use. Default is dist.eucsq.
hclustfun	Which clusterin algorithm. Default is ward.
cexCol	Expansion factor for column names.
cexRow	Expansion factor for row names.

Details

Simple heatmap wrapper calling heatmap.2 from the gplots package internally.

Value

Empty.

Author(s)

Christian Bender ([e-mail])

See Also

Help of the gplots package.

Examples

## Not run: 
	sample1 <- matrix(rnorm(100, 100, 100), ncol=5)
	sample2 <- matrix(rnorm(100, 500, 100), ncol=5)
	thdat <- cbind(sample1, sample2)
	colnames(thdat) <- c(paste("sample1", 1:5, sep="_"), paste("sample2", 1:5, sep="_"))
	rownames(thdat) <- paste("g", 1:nrow(thdat), sep="")
	thdat <- t(thdat)
	groups <- rep(c("sample1", "sample2"), each=5)
	drawheat(thdat, groups = groups, log = FALSE, mar = c(12, 10), distfun = dist.eucsq,
			hclustfun = ward, cexCol = 1, cexRow = 1)	

## End(Not run)

bootfs documentation built on May 2, 2019, 5:50 p.m.