Just wanted to thank everybody here for their great help. I tried the
"tapply" and it worked brilliantly. By changing its parameters I can easily
compute the values for the other treatments as well. Without help, I
probably would just have despaired.
Have a great time
mat
--
View this message in
I see you already have three solutions but, just for the heck of it, here's
another. I am trying to get familiar with the reshape2 package and your
question was a good exercise for me.
With your data set named xx:
library(reshape2)
yy <- melt(xx, id=c("period", "treatment", "session",
"
On May 7, 2011, at 2:24 PM, tornanddesperate wrote:
Hi its me again
I don't mean to get on your nerves, but the use of R proofs to be a
bit more
complicated than envisaged.
I would like to calculate the mean of a group of values, here
"wage_accepted". The group is determined by the stage a
tornanddesperate wrote:
>
> Hi its me again
>
> I don't mean to get on your nerves, but the use of R proofs to be a bit
> more complicated than envisaged.
>
> I would like to calculate the mean of a group of values, here
> "wage_accepted". The group is determined by the stage and period, so in
4 matches
Mail list logo
