rowGrpSds
calculate Sd (standard-deviation) for matrix with multiple groups of data, ie one sd 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).
rowGrpSds(x, grp)
matrix where relplicates are organized into seprate columns
(character or factor) defining which columns should be grouped (considered as replicates)
matrix of sd values
# NOT RUN {
set.seed(2016); dat1 <- matrix(c(runif(200)+rep(1:10,20)),ncol=10)
head(rowGrpSds(dat1,gr=gl(4,3,labels=LETTERS[1:4])[2:11]))
# }
Run the code above in your browser using DataLab