rank - R: choose different raw and separate to new ranked set -


i have dataset looks like:

interest    age     gender  scored.probabilities al008       18-24   male    0.211 al024       25-34   male    0.022 al008       35-44   female  0.102 al008       25-34   female  0.002 al024       13-17   male    0.102 al035       35-44   female  0.027 al024       35-44   female  0.051 al024       55-64   male    0.025 al024       35-44   male    0.016 al034       45-54   male    0.021 al036       35-44   male    0.082

i want choose same name of 'interest' column , create new dataset ranked according 'scored.probabilities':

set         interest    age     gender  scored.probabilities    rank 1           al008       18-24   male    0.211                    1 1           al008       35-44   female  0.102                    2 1           al008       25-34   female  0.002                    3 2           al024       13-17   male    0.102                    1 2           al024       35-44   female  0.051                    2 2           al024       55-64   male    0.025                    3 2           al024       25-34   male    0.022                    4 2           al024       35-44   male    0.016                    5 3           al034       45-54   male    0.021                    1 4           al035       35-44   female  0.027                    1 5           al036       35-44   male    0.082                    1

you can try

 library(data.table)  setdt(df1)[order(-scored.probabilities), rank:= 1:.n, interest][            order(interest), set := .grp, interest][order(interest, rank)]  #     interest   age gender scored.probabilities rank set  #1:    al008 18-24   male                0.211    1   1  #2:    al008 35-44 female                0.102    2   1  #3:    al008 25-34 female                0.002    3   1  #4:    al024 13-17   male                0.102    1   2  #5:    al024 35-44 female                0.051    2   2  #6:    al024 55-64   male                0.025    3   2  #7:    al024 25-34   male                0.022    4   2  #8:    al024 35-44   male                0.016    5   2  #9:    al034 45-54   male                0.021    1   3 #10:    al035 35-44 female                0.027    1   4 #11:    al036 35-44   male                0.082    1   5

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