Hello. I am trying to get a table of cumulative Counts grouped by
two variables, a Category UpNum and a Date (M_Y). Do you have any
code ideas? Thanks!!
Input Table Desired Output
UpNum M_Y UpNum M_Y M_Ycount cum_Count
XXA 1/2018 XXA 1/2018 1 1
XXA 4/2018 XXA 2/2018 0 1
XXB 2/2018 XXA 3/2018 1 2
XXB 2/2018 XXA 4/2018 1 3
XXA 3/2018 ..... ...... (list of all XXA, M_Y combinations)
XXB 4/2018 XXB 1/2018 0 0
XXA 6/2018 XXB 2/2018 2 2
..... ...... XXB 3/2018 0 2
( XXC, XXD, all M_Y dates, etc) XXB 4/2018 1 3
....... ....... (list of all XXB, M_Y combinations)
Using nov's code .
data have;
input UpNum $ M_Y $ ;
cards;
XXA 1/2018
XXA 4/2018
XXB 2/2018
XXB 2/2018
XXA 3/2018
XXB 4/2018
XXA 6/2018
;
proc freq data=have noprint;
table UpNum*M_Y/out=temp(drop= percent) sparse ;
run;
data want;
set temp;
by upnum ;
if first.upnum then want=0;
want+count;
run;
@crawfe The sparse option in proc freq will give you the combination UpNum*M_Y
You can use the output of proc freq for as input in one datastep pass. The datastep is rather straight forward, the only thought process here is cartesian either using SQL or Sparse etc to get the combination
data have;
input UpNum $ M_Y $ ;
cards;
XXA 1/2018
XXA 4/2018
XXB 2/2018
XXB 2/2018
XXA 3/2018
XXB 4/2018
XXA 6/2018
;
proc freq data=have noprint;
table UpNum*M_Y/out=temp(drop=percent) sparse ;
run;
Now use the temp dataset, merge back with have with IN=dataset options for your cumulative count
Using nov's code .
data have;
input UpNum $ M_Y $ ;
cards;
XXA 1/2018
XXA 4/2018
XXB 2/2018
XXB 2/2018
XXA 3/2018
XXB 4/2018
XXA 6/2018
;
proc freq data=have noprint;
table UpNum*M_Y/out=temp(drop= percent) sparse ;
run;
data want;
set temp;
by upnum ;
if first.upnum then want=0;
want+count;
run;
That worked well. Thanks!
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