While we wait for others to provide the best way, here's
one way (if I understand your question correctly):
numrows - 10
x - rnorm(25 * numrows)
dat - as.data.frame(matrix(x, nc = 25))
newdat - as.data.frame(matrix(0, nr = numrows, nc = 14))
for(j in 1:14) newdat[, j] - rowMeans(dat[, j:(j + 11)], na.rm = TRUE)
Peter Ehlers
r user wrote:
I have a dataframe of 25 columns and 100,000 rows
called “testdf”.
I wish to build a new dataframe, with 14 columns and
100,000 rows.
I wish the new dataframe to have the “trailing 12
column” mean. That is, I want column 1 of the new
dataframe to have soemthing like:
“( mean(testdf[,1:12],na.rm=T)”
What is the best way to accomplish this?
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