Hello,
For each observation I would like to create a variable showing the percentage of the total observation. To put it simply, let's say I have 100 observations and i want to see the "8%" in the 8th observation (kind of percentiles).
I am aware of Proc UNIVARIATE; PCTLPTS= but couldn't find a good example application of it :smileyplain: Could anyone suggest an easy solution?
Many thanks!
Is this what you want?
data calss;
set sashelp.class nobs=nobs;
per=_n_/nobs;
format per percent6.2;
run;
proc print;run;
Obs Name Sex Age Height Weight per
1 Alfred M 14 69.0 112.5 5.3%
2 Alice F 13 56.5 84.0 11%
3 Barbara F 13 65.3 98.0 16%
4 Carol F 14 62.8 102.5 21%
5 Henry M 14 63.5 102.5 26%
6 James M 12 57.3 83.0 32%
7 Jane F 12 59.8 84.5 37%
8 Janet F 15 62.5 112.5 42%
9 Jeffrey M 13 62.5 84.0 47%
10 John M 12 59.0 99.5 53%
11 Joyce F 11 51.3 50.5 58%
12 Judy F 14 64.3 90.0 63%
13 Louise F 12 56.3 77.0 68%
14 Mary F 15 66.5 112.0 74%
15 Philip M 16 72.0 150.0 79%
16 Robert M 12 64.8 128.0 84%
17 Ronald M 15 67.0 133.0 89%
18 Thomas M 11 57.5 85.0 95%
19 William M 15 66.5 112.0 100%
Is this what you want?
data calss;
set sashelp.class nobs=nobs;
per=_n_/nobs;
format per percent6.2;
run;
proc print;run;
Obs Name Sex Age Height Weight per
1 Alfred M 14 69.0 112.5 5.3%
2 Alice F 13 56.5 84.0 11%
3 Barbara F 13 65.3 98.0 16%
4 Carol F 14 62.8 102.5 21%
5 Henry M 14 63.5 102.5 26%
6 James M 12 57.3 83.0 32%
7 Jane F 12 59.8 84.5 37%
8 Janet F 15 62.5 112.5 42%
9 Jeffrey M 13 62.5 84.0 47%
10 John M 12 59.0 99.5 53%
11 Joyce F 11 51.3 50.5 58%
12 Judy F 14 64.3 90.0 63%
13 Louise F 12 56.3 77.0 68%
14 Mary F 15 66.5 112.0 74%
15 Philip M 16 72.0 150.0 79%
16 Robert M 12 64.8 128.0 84%
17 Ronald M 15 67.0 133.0 89%
18 Thomas M 11 57.5 85.0 95%
19 William M 15 66.5 112.0 100%
Hello Linlin,
Thank you for the prompt and quick answer! If I may ask one more thing to enhance the question.. what if I want to see the percent by group - in the same output dataset? For this example, how can we group the percent answer for males and females separately?
Hi,
Is this what you want?
data calss;
do until(done1);
set sashelp.class end=done1;
if upcase(sex)='F' then girls+1;
else boys+1;
end;
do until(done2);
set sashelp.class end=done2 nobs=nobs;
if upcase(sex)='F' then g+1;
else b+1;
n+1;
percent_t=n/nobs;
percent_f=g/girls;
percen_m=b/boys;
output;
end;
format per: percent8.2;
run;
proc print;run; percent_ percent_
Obs Name Sex Age Height Weight girls boys g b n t f percen_m
1 Alfred M 14 69.0 112.5 9 10 0 1 1 5.3% .00% 10%
2 Alice F 13 56.5 84.0 9 10 1 1 2 11% 11% 10%
3 Barbara F 13 65.3 98.0 9 10 2 1 3 16% 22% 10%
4 Carol F 14 62.8 102.5 9 10 3 1 4 21% 33% 10%
5 Henry M 14 63.5 102.5 9 10 3 2 5 26% 33% 20%
6 James M 12 57.3 83.0 9 10 3 3 6 32% 33% 30%
7 Jane F 12 59.8 84.5 9 10 4 3 7 37% 44% 30%
8 Janet F 15 62.5 112.5 9 10 5 3 8 42% 56% 30%
9 Jeffrey M 13 62.5 84.0 9 10 5 4 9 47% 56% 40%
10 John M 12 59.0 99.5 9 10 5 5 10 53% 56% 50%
11 Joyce F 11 51.3 50.5 9 10 6 5 11 58% 67% 50%
12 Judy F 14 64.3 90.0 9 10 7 5 12 63% 78% 50%
13 Louise F 12 56.3 77.0 9 10 8 5 13 68% 89% 50%
14 Mary F 15 66.5 112.0 9 10 9 5 14 74% 100% 50%
15 Philip M 16 72.0 150.0 9 10 9 6 15 79% 100% 60%
16 Robert M 12 64.8 128.0 9 10 9 7 16 84% 100% 70%
17 Ronald M 15 67.0 133.0 9 10 9 8 17 89% 100% 80%
18 Thomas M 11 57.5 85.0 9 10 9 9 18 95% 100% 90%
19 William M 15 66.5 112.0 9 10 9 10 19 100% 100% 100%
Awesome.. Thanks!
Here's another option:
data work.class;
set sashelp.class;
varseq = _n_;
run;
proc sort data=work.class;
by sex;
proc rank data = work.class groups=100 ties=mean out=work.rankedclass;
by sex;
var varseq;
ranks varseq_rank;
run;
Tom
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