Hello,
If I understand it correctly the following should do it. Note that it
removes both columns and rows.
idx <- corData > 0.5
diag(idx) <- FALSE
idx2 <- which(apply(idx, 2, function(x) !any(x)))
corData[-idx2, -idx2]
Use corData[, -idx2] to remove only columns.
Hope this helps,
Rui Barradas
On 27/07/2014 12:40, Nico Met wrote:
Dear all,
I have written the following code for correlation calculations. I want to
create a new matrix from corData) with correlation more than 0.5 only and
the rest of the columns should be removed. How can I do it?
set.seed(1234)
data<-matrix(rnorm(100),nrow=10)
data[,1]<-100*(data[,2]+data[,5]+data[,9])
corData<-cor(data)
Thanks a lot
Nico
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