You could use the "Reduce" function to get the sum of the matrices, then if
there are no missing vales just divide by the number of matrices. If there are
missing values then you would probably need to use Reduce again to count the
number of non-missing values.
Since all the matrices are the s
one way is the following:
A <- replicate(10, cor(matrix(rnorm(30), 10, 3)), simplify = FALSE)
triA <- sapply(A, function (m) m[upper.tri(m)])
rowMeans(triA, na.rm = TRUE)
I hope it helps.
Best,
Dimitris
On 11/9/2010 9:23 AM, Suphajak Ngamlak wrote:
Dear all,
I have a list of correlation c
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