From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Loops are time consuming in R. Try one of the apply functions
for vectorized
calculations, like apply, lapply,sapply or tapply.
Also see help for
split.
Have you actually compared for loop with apply, in terms of timing? Have
you
In a message dated 10/20/03 5:11:25 AM Pacific Daylight Time,
[EMAIL PROTECTED] writes:
Have you actually compared for loop with apply, in terms of timing? Have
you looked at the R code for apply()? It has:
...
if (length(d.call) 2) {
if (length(dn.call))
dimnames(newX)
Hello All,
I am new to R. I am trying to process this huge data set of
matrix containing four columns, say x1, x2, x3, x4 and n number of rows.
I want to aggregate the matrix by x1 and perform statistic based on
columns x2, x3, x4. I tried aggregate function but it gave me memory
