Thanks, I did! This reply I also got helped a lot:
r<-matrix(rnorm(30),ncol=3)
r4 <-1+2*rnorm(10,r[,3], 0.5)
r5 <-1-3*rnorm(10,r[,3], 0.5)
data<-cbind(r,r4,r5)
corr<-cor(data,use='na.or.complete')
corrl<-(corr[col(corr)>row(corr)])^2
colms<-col(data)[col(col(data))>row(col(data))]
rows<-row(data
See ?cor
Uwe Ligges
nyk wrote:
What would be a good method to find the subset of columns of a data matrix
(with about 200 rows and columns) that has the strongest correlation to one
other column? I tried testing sub-matrices with random sets of 10 columns
selected using lm(x ~submtrx) and comp
What would be a good method to find the subset of columns of a data matrix
(with about 200 rows and columns) that has the strongest correlation to one
other column? I tried testing sub-matrices with random sets of 10 columns
selected using lm(x ~submtrx) and comparing the r^2 values. But isn't the
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