Hi
I did not see any answer yet so I try. You can use aggregate, by or
sapply.
Something like
aggregate(soc6a[, your columns], list(hh=hh), sum, na.rm=T)
by(soc6a[, your columns], hh, sum, na.rm=T)
sapply(split(soc6a[, your columns], hh), sum, na.rm=T)
But you have to check speed gain by yourself.
HTH
Petr
On 5 Dec 2006 at 1:30, Werner Wernersen wrote:
Date sent: Tue, 5 Dec 2006 01:30:50 +0100 (CET)
From: Werner Wernersen [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Subject:[R] summaryBy(): Is it the best option?
Hi,
since I have quite large tables and the processing
takes quite a while I am
curious if I can improve the performance of this
aggregation somehow: At the
moment I am using summaryBy from the doBy package
under R 2.4.0, Win2K.
summaryBy(soc_s6aq5 + soc_s6aq7 + soc_s6aq9 +
soc_s6aq11 ~ hh +
comgroup,soc6a,postfix=c(,,,),FUN=sum,
na.rm=T)
The data.frame has 124100 rows and 13 cols.
Thanks for any hints!
Werner
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Petr Pikal
[EMAIL PROTECTED]
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