I need to calculate unique ids within different intervals (3,4,5,6 months…) by for each month. I need to do that for different groups as well such as age, gender etc. This is how my data looks like:
ID Yr_month Age Gender 11 2012-01 30 M 11 2012-02 30 M … 11 2012-12 30 M 12 2012-01 32 F… The output should look like this:
Yr_month cnt_distinctID_3 count_distinctID_4…. 2012-01 300 400 I am able to do this using multiple for loops and dplyr. Is there a faster way using data table to get this done? Thanks!
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