rowGrpMeans: Row-Means With Destinction Of Groups (Of Columns, eg Groups...

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

Row-Means With Destinction Of Groups (Of Columns, eg Groups Of Replicates)

Description

Thus function calculates column-means for matrix with multiple groups of data, ie similar to rowMeans but one mean for each group of data. Groups are specified as columns of 'x' in 'grp' (so length of grp should match number of columns of 'x', NAs are allowed).

Usage

rowGrpMeans(
  x,
  grp,
  na.rm = TRUE,
  silent = FALSE,
  debug = FALSE,
  callFrom = NULL
)

Arguments

x	(numeric matrix or data.frame) main input
grp	(character or factor) defining which columns should be grouped (considered as replicates)
na.rm	(logical) a logical value indicating whether NA-values should be stripped before the computation proceeds.
silent	(logical) suppress messages
debug	(logical) additional messages for debugging
callFrom	(character) This function allows easier tracking of messages produced

Value

This function returns a matrix with mean values

See Also

rowSds, colSums which also shows colMeans

Examples

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

wrMisc documentation built on March 9, 2026, 5:07 p.m.