row group CV
rowGrpCV calculates CVs for matrix with multiple groups of data, ie one CV 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)
rowGrpCV(x, grp, means = NULL, listOutp = FALSE)
x |
numeric matrix where relplicates are organized into separate columns |
grp |
(factor) defining which columns should be grouped (considered as replicates) |
means |
(numeric) alternative values instead of means by .rowGrpMeans() |
listOutp |
(logical) if TRUE, provide output as list with $CV, $mean and $n |
matrix of CV values
set.seed(2016); dat1 <- matrix(c(runif(200)+rep(1:10,20)),ncol=10) head(rowGrpCV(dat1,gr=gl(4,3,labels=LETTERS[1:4])[2:11]))
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