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! [[alternative HTML version deleted]]
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