On 09/22/2010 08:52 AM, Simon Kiss wrote:
hello, can someone tell me how to generate the means for a data frame
that looks like this? My data frame has many more variables, but I won't
bother you with those; these are the one's that I'm interested in.
Needless to say, z is the variable in which I'm interested. I'd like to
find out the mean score of z for NDP managers, Conservative managers and
Liberal managers and then for a few other configurations.
Ive played around with aggregate, tapply and by, but I can't get it to
work.
Cordially,
Simon Kiss
mydata=data.frame(cbind(x,y,z))
mydata$x=as.factor(sample(c("labourers", "salaried", "managers"),
size=300, replace=TRUE))
mydata$y=as.factor(sample(c("NDP", "Green", "Liberal", "Conservative"),
size=300, replace=TRUE))
mydata$z=as.numeric(sample(1:4, size=300, replace=TRUE))
Hi Simon,
This looks a bit like what brkdn in the prettyR package does. If you
want the means nested within subgroups, maybe brkdnNest in the plotrix
package will do what you want.
Jim
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