Reputation: 343
I have this sort of table :
Cluster Age FR
8 70 153
...
What I want is to get a table : for each Cluster and for each Age, the mean of FR in each 10th quantile. It should look like :
Cluster Age Quantile FR
1 1 10% 12
1 1 20% 14
1 1 30% 16
1 1 40% 18
1 1 50% 20
1 1 60% 22
1 1 70% 24
1 1 80% 26
1 1 90% 28
1 1 100% 30
1 2 10% 13
1 2 20% 15
1 2 30% 17
I tried doing this with proc univariate but with no success...
proc univariate data=etude.Presta_cluster_panier noprint;
var FR;
output out=pctls pctlpre=P_ pctlpts=0 to 100 by 10;
run;
Upvotes: 3
Views: 3348
Reputation: 1985
This can be accomplished in two step through the use of proc rank & proc means.
proc rank data=etude.Presta_cluster_panier out=outranks groups=10;
var FR;
ranks Quantile;
by Cluster Age;
run;
proc means data=outranks;
var FR;
ways 3;
class Cluster Age Quantile;
output out=outmean;
run;
Upvotes: 2
Reputation: 133
You will need to first obtain your quartiles by cluster and age. Then remerge with your master dataset, assign groups depending on your quartiles and finally compute the mean buy cluster age and quartile.
It is not possible in one step.
Upvotes: 1