r - aggregate over multiple columns -

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• aggregate / summarize multiple variables per group (i.e. sum, mean, etc) 4 answers

hey have data looks this:

expnum  compound peak tau ss 1              100  30  50 2              145  23  45 3        b       78   45  56 4        b       45   43  23 5        c       344  23  56 

id fund mean based on compound name have

norm_table$norm_peak = (aggregate(data[[3]],by=list(compound),fun=normalization)) 

this fine , have coding repeating 3 times changing data[[x]] number. lapply work here? or loop?

a dplyr solution:

library(dplyr) data %>%   group_by(compound) %>%   summarize_each(funs(mean), -expnum)