hits=-2.5 tests�YES_00,FORGED_RCVD_HELO
X-USF-Spam-Flag: NO
check the following options:
test <- matrix(c(1,2,3,NA,2,3,NA,NA,2), 3, 3)
# A
colSums(!is.na(test))
# B
mat <- test > rep(colMeans(test, na.rm = TRUE), each = nrow(test))
colSums(!is.na(mat) & mat)
apply(test, 2, function(x) {
mus <- mean(x, na.rm = TRUE)
sum(x > mus, na.rm = TRUE)
})
I hope it helps.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
Quoting Ng Stanley <[EMAIL PROTECTED]>:
Hi,
Given a test matrix, test <- matrix(c(1,2,3,NA,2,3,NA,NA,2), 3,3)
A) How to compute the counts of each column (excluding the NA) i.e., 3, 2, 1
B) How to compute the counts of each column (excluding the NA) that are
greater than the column means ? i.e., 1, 1, 0
I could write a for loop, but hope to use better alternative.
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