Hello all,
I've been banging my head over what must be a simple solution. I would
like to apply a function across columns of a dataframe for rows grouped
across different columns. These groups are not exclusive. See below
for an example. Happy to use dplyr, data.table, or whatever. Any
guidance appreciated!
Thanks,
Allie
desired algorithm: calculate a/(a+b) for each TRUE and FALSE grouping of
columns grp1 and grp2.
this_df = data.frame(a = c(1,2,3,4,5), b = c(7,8,9,10,11), grp1 =
c(T,T,F,F,F), grp2 = c(F,T,F,T,F))
desired output (doesn't have to be exactly this format, but something
along these lines):
grp1 T 0.166
grp1 F 0.286
grp2 T 0.25
grp2 F 0.25
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