I would like to rank across multiple grouping variables independently and then combine the results. Is there an easy way to do it (outside of using macros) .
proc RANK data = a ;
by var1;
output out = t1 mean(ret);
run;
proc RANK data = a ;
by var2;
output out = t2 mean(ret);
run;
and then combine t1 and t 2 . ...
The question may be do you want dataset that feeds into some other analysis or is this a report?
if a report some thing like this perhaps:
data have;
infile datalines;
input rownum Rank1 Rank2 Var1;
datalines;
1 1 3 1.2
2 1 4 1.1
3 2 5 0.9
4 3 1 0.766667
5 4 2 0.616667
6 4 1 0.466667
7 4 2 0.316667
8 5 2 0.166667
9 2 1 0.016667
10 4 4 -0.13333
11 5 5 -0.28333
12 4 5 -0.43333
13 3 2 -0.58333
;
run;
data trans (keep=Var1 RankVar RankVal);
set have;
array r rank: ;
do _i_ = 1 to dim(r);
if not missing (r(_i_)) then do;
Rankvar = cat('Rank',_i_);
RankVal = r(_i_);
output;
end;
end;
run;
proc tabulate data=trans;
class RankVar RankVal;
var Var1;
table RankVal='',
RankVar='Rank Variable'*Var1*mean
/box='Ranks'
;
run;
Please post test data (as a datatstep) an drequired output, it really helps illustrate what you want. I imageine its something along the lines of:
VAR1 V1RANK VAR2 V2RANK
ABC 1 DEF 1
ABC 1 RFG 2
GHJ 2 XYZ 1
?
If so you can sort the data, and retain a count for each by group - in the above case:
data want; set have; retain v1rank v2rank; by var1 var2; /* Assumes sorted */ if first.var1 then v1rank=sum(v1rank,1); if first.var2 then v2rank=sum(v2rank,1); run;
Sorry I botched up my request earlier.
Here is the sample data :
rownum | Rank1 | Rank 2 | Var1 |
1 | 1 | 3 | 1.2 |
2 | 1 | 4 | 1.1 |
3 | 2 | 5 | 0.9 |
4 | 3 | 1 | 0.766667 |
5 | 4 | 2 | 0.616667 |
6 | 4 | 1 | 0.466667 |
7 | 4 | 2 | 0.316667 |
8 | 5 | 2 | 0.166667 |
9 | 2 | 1 | 0.016667 |
10 | 4 | 4 | -0.13333 |
11 | 5 | 5 | -0.28333 |
12 | 4 | 5 | -0.43333 |
13 | 3 | 2 | -0.58333 |
Output :
Ranks | Average of Var1 by RAnk1 | Average of Var1 by RAnk2 |
1 | 1.15 | 0.417 |
2 | 0.46 | 0.129 |
3 | 0.09 | 1.2 |
4 | 0.17 | 0.483 |
5 | -0.06 | 0.061 |
Proc rank should read proc means earlier.
hello,
data have;
infile datalines;
input rownum Rank1 Rank2 Var1;
datalines;
1 1 3 1.2
2 1 4 1.1
3 2 5 0.9
4 3 1 0.766667
5 4 2 0.616667
6 4 1 0.466667
7 4 2 0.316667
8 5 2 0.166667
9 2 1 0.016667
10 4 4 -0.13333
11 5 5 -0.28333
12 4 5 -0.43333
13 3 2 -0.58333
;
proc means data=have ;
class Rank1 Rank2;
Var Var1;
ways 1;
output out=int(drop=_type_ _freq_) mean()=;
run;
data want;
set int(drop=rank2 rename=(var1=Average_of_Var1_by_RAnk1 rank1=rank) where=(missing(rank)=0) );
set int(drop=rank1 rename=(var1=Average_of_Var1_by_RAnk2 rank2=rank) where=(missing(rank)=0) );
run;
Thanks it seems to work
But I was wondering if there is a scalable solution ? I have almost 20 Class variables So I would have to repeat this statement 20 times with a drop list that doesn't contain one variable at a time...
set int(drop=rank2 rename=(var1=Average_of_Var1_by_RAnk1 rank1=rank) where=(missing(rank)=0) );
The question may be do you want dataset that feeds into some other analysis or is this a report?
if a report some thing like this perhaps:
data have;
infile datalines;
input rownum Rank1 Rank2 Var1;
datalines;
1 1 3 1.2
2 1 4 1.1
3 2 5 0.9
4 3 1 0.766667
5 4 2 0.616667
6 4 1 0.466667
7 4 2 0.316667
8 5 2 0.166667
9 2 1 0.016667
10 4 4 -0.13333
11 5 5 -0.28333
12 4 5 -0.43333
13 3 2 -0.58333
;
run;
data trans (keep=Var1 RankVar RankVal);
set have;
array r rank: ;
do _i_ = 1 to dim(r);
if not missing (r(_i_)) then do;
Rankvar = cat('Rank',_i_);
RankVal = r(_i_);
output;
end;
end;
run;
proc tabulate data=trans;
class RankVar RankVal;
var Var1;
table RankVal='',
RankVar='Rank Variable'*Var1*mean
/box='Ranks'
;
run;
I think you need make a macro like CALL EXECUTE(): data have; infile datalines; input rownum Rank1 Rank2 Var1; datalines; 1 1 3 1.2 2 1 4 1.1 3 2 5 0.9 4 3 1 0.766667 5 4 2 0.616667 6 4 1 0.466667 7 4 2 0.316667 8 5 2 0.166667 9 2 1 0.016667 10 4 4 -0.13333 11 5 5 -0.28333 12 4 5 -0.43333 13 3 2 -0.58333 ; run; proc sql; create table temp as select rank1 as r,mean(var1) as mean,'rank1' as id length=20 from have group by rank1 union all select rank2 as r,mean(var1) as mean,'rank2' from have group by rank2 order by r; quit; proc transpose data=temp out=want; by r; id id; var mean; run;
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