Using indexing and putting a minus sign in front of a vector of column names that you want to exclude would be a typical approach:

df <- data.frame(a=LETTERS[1:4], b= rnorm(4), c=rnorm(4), d= letters[5:9])

apply(df[ , -c("a","d")], 2, sum)

(Pretty sure this will run properly but don't have R up an runnign to test it.)



--
David Winsemius

On Jan 8, 2009, at 5:52 AM, Christian Kamenik wrote:

Dear all,

'Apply' is a great thing for running functions on rows or columns of a matrix:

X <- rnorm(20, mean = 0, sd = 1)
dim(X) <- c(5,4)
apply(X,2,sum)

Is there a way to use apply for excluding rows or columns from a matrix to run functions on the remaining rows or columns? I know, I could do this with a 'for' loop, but 'apply' would be much easier and quicker, and require less programming...

Cheers, Christian

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