rowMeans with destinction of groups (of columns, eg groups of replicates)
rowGrpMeans 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).
rowGrpMeans(x, grp)
x |
matrix or data.frame |
grp |
(character or factor) defining which columns should be grouped (considered as replicates) |
matrix with mean values
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]))
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