dot-rowGrpMeans: row group mean (main)

In wrMisc: Analyze Experimental High-Throughput (Omics) Data

row group mean (main)

Description

This function calculates CVs for matrix with multiple groups of data, ie one CV for each group of data.

Usage

.rowGrpMeans(x, grp, na.replVa = NULL, na.rm = TRUE)

Arguments

x	numeric matrix where relplicates are organized into separate columns
grp	(factor) defining which columns should be grouped (considered as replicates)
na.replVa	(numeric) value to replace NA values
na.rm	(logical) remove all NA values

Value

This function returns a matrix of mean values per row and group of replicates

See Also

rowGrpCV, rowCVs, arrayCV, replPlateCV

Examples

set.seed(2016); dat1 <- matrix(c(runif(200)+rep(1:10,20)),ncol=10)
grp1 <- gl(4,3,labels=LETTERS[1:4])[2:11]
head(.rowGrpMeans(dat1, grp1))

wrMisc documentation built on Nov. 17, 2023, 5:09 p.m.