dimitris fekas wrote on 01/18/2012 03:21:44 AM:
> I have a data frame and I would like to reshape it to wide format
> while at the same time applying different aggregate functions to
> each column AND at times multiple aggregate functions:
>
> test1 = data.frame(
> id = c(rep('101',8),rep('102',8)),
> phase = rep(c('D','D','L','L'),4),
> day = rep(c('1','1','1','1','2','2','2','2'),2),
> col1 = c(rep(1,8),rep(2,8)),
> col2 = c(runif(8,min=0,max=1),runif(8,min=0,max=10))
> )
>
> In this example, I would like to end up with 2 rows (for the 2 ids)
> and different columns for phase-day. Values of col1
> should just be summed and for col 2 there should be a column with the
> mean AND one with standard deviation for each phase-day combination.
>
> Obviously the real data have much more number of columns therefore I
> guess I will need to provide a list of functions?
>
> Thank you in advance!
It's not clear to me what you want to end up with. You seem to want four
separate columns for each phase-day combination. But then you describe
summary statistics for both col1 and col2. Can you provide an example,
test2, to make it clear?
Jean
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