Hi:
Here's what I tried:
# data frame versions (aggregate, ddply):
aggregate(age ~ municipality + employed, data = data.test, FUN = mean)
municipality employed age
1B no 55.57407
2C no 44.67463
3A yes 41.58759
4B yes
daply(data.test, .(municipality, employed), function(d){mean(d$age)} )
employed
municipality no yes
A 41.58759 44.67463
B 55.57407 43.82545
C 43.59330 NA
The .drop argument has a different meaning in daply. Some R functions have
This is a bug, which I've fixed in the development version (hopefully
to be released next week).
In the plyr 1.2:
OK, thank you both for your answers. I'll wait for the next version.
Regards,
Jan
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