.rowGrpCV | R Documentation |
This function calculates CVs for matrix with multiple groups of data, ie one CV for each group of data.
.rowGrpCV(x, grp, means)
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() |
This function returns a matrix of CV values
rowGrpCV
, rowCVs
, arrayCV
, replPlateCV
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(.rowGrpCV(dat1, grp1, .rowGrpMeans(dat1, grp1)))
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