[R] aggregate data.frame based on column class

[arun]

Hi,
Hope this is what you meant.
#data1
aggregate(.~group+gender,data=data1,mean)
#  group gender         x
#1     2      f  1.750686
#2     1      m -1.074343
A.K.




----- Original Message -----
From: Martin Batholdy <batholdy at googlemail.com>
To: "r-help at r-project.org" <r-help at r-project.org>
Cc: 
Sent: Friday, January 11, 2013 10:07 AM
Subject: [R] aggregate data.frame based on column class

Hi,

When using the aggregate function to aggregate a data.frame by one or more grouping variables I often have the problem, that I want the mean for some numeric variables but the unique value for factor variables.

So for example in this data-frame:

data <- data.frame(x = rnorm(10,1,2), group = c(rep(1,5), rep(2,5)), gender =c(rep('m',5), rep('f',5)))
aggregate(data, by=list(data$group), FUN=mean)


I would like to have 'm' and 'f' in the third column, not NA.


I see the problem, that it could happen that there is no unique factor level in a group –
but is there an alternative function who at least tries what I am aiming at?

That is;

"aggregate the data.frame by a list of grouping variables,
for numeric variables compute the mean,
for factor variables return the unique factor value"


Thanks!
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