A is:
count | pct | year | y |
32751 | 8.6 | 2012 | 0 |
35200 | 8.4 | 2013 | 1 |
34422 | 7.8 | 2014 | 2 |
36195 | 7.6 | 2015 | 3 |
39035 | 7.5 | 2016 | 4 |
43060 | 7.6 | 2017 | 5 |
360673 | 6.2 | 2012 | 0 |
357294 | 5.9 | 2013 | 1 |
341996 | 5.3 | 2014 | 2 |
341963 | 5.1 | 2015 | 3 |
351231 | 5.2 | 2016 | 4 |
366421 | 5.3 | 2017 | 5 |
25432 | 6.6 | 2012 | 0 |
25219 | 6.0 | 2013 | 1 |
23947 | 5.4 | 2014 | 2 |
25239 | 5.3 | 2015 | 3 |
27019 | 5.2 | 2016 | 4 |
29103 | 5.1 | 2017 | 5 |
274908 | 4.7 | 2012 | 0 |
257168 | 4.2 | 2013 | 1 |
235824 | 3.6 | 2014 | 2 |
234645 | 3.5 | 2015 | 3 |
237780 | 3.5 | 2016 | 4 |
247493 | 3.6 | 2017 | 5 |
7319 | 1.9 | 2012 | 0 |
9981 | 2.4 | 2013 | 1 |
10475 | 2.4 | 2014 | 2 |
10956 | 2.3 | 2015 | 3 |
12016 | 2.3 | 2016 | 4 |
13957 | 2.5 | 2017 | 5 |
85765 | 1.5 | 2012 | 0 |
100126 | 1.7 | 2013 | 1 |
106172 | 1.6 | 2014 | 2 |
107318 | 1.6 | 2015 | 3 |
113451 | 1.7 | 2016 | 4 |
118928 | 1.7 | 2017 | 5
|
B is :
32751 | 8.6 | 360673 | 6.2 | 25432 | 6.6 | 274908 | 4.7 | 7319 | 1.9 | 85765 | 1.5 |
35200 | 8.4 | 357294 | 5.9 | 25219 | 6.0 | 257168 | 4.2 | 9981 | 2.4 | 100126 | 1.7 |
34422 | 7.8 | 341996 | 5.3 | 23947 | 5.4 | 235824 | 3.6 | 10475 | 2.4 | 106172 | 1.6 |
36195 | 7.6 | 341963 | 5.1 | 25239 | 5.3 | 234645 | 3.5 | 10956 | 2.3 | 107318 | 1.6 |
39035 | 7.5 | 351231 | 5.2 | 27019 | 5.2 | 237780 | 3.5 | 12016 | 2.3 | 113451 | 1.7 |
43060 | 7.6 | 366421 | 5.3 | 29103 | 5.1 | 247493 | 3.6 | 13957 | 2.5 | 118928 | 1.7 |
this is a nice link that explains proc transpose.
Example 3 should answer your needs.
https://stats.idre.ucla.edu/sas/modules/how-to-reshape-data-long-to-wide-using-proc-transpose/
reshaping data with 2 variables
what are you transposing on?
you have no column names in B.
That is
count pct count pct count pct
this is a nice link that explains proc transpose.
Example 3 should answer your needs.
https://stats.idre.ucla.edu/sas/modules/how-to-reshape-data-long-to-wide-using-proc-transpose/
reshaping data with 2 variables
See if this helps
data have;
input vcount pct year y;
cards;
32751 8.6 2012 0
35200 8.4 2013 1
34422 7.8 2014 2
36195 7.6 2015 3
39035 7.5 2016 4
43060 7.6 2017 5
360673 6.2 2012 0
357294 5.9 2013 1
341996 5.3 2014 2
341963 5.1 2015 3
351231 5.2 2016 4
366421 5.3 2017 5
25432 6.6 2012 0
25219 6.0 2013 1
23947 5.4 2014 2
25239 5.3 2015 3
27019 5.2 2016 4
29103 5.1 2017 5
274908 4.7 2012 0
257168 4.2 2013 1
235824 3.6 2014 2
234645 3.5 2015 3
237780 3.5 2016 4
247493 3.6 2017 5
7319 1.9 2012 0
9981 2.4 2013 1
10475 2.4 2014 2
10956 2.3 2015 3
12016 2.3 2016 4
13957 2.5 2017 5
85765 1.5 2012 0
100126 1.7 2013 1
106172 1.6 2014 2
107318 1.6 2015 3
113451 1.7 2016 4
118928 1.7 2017 5
;
proc transpose data=have out=w;
by year notsorted;
var vcount pct;
run;
proc sort data=w out=ww(keep=year col1);
by year;
run;
proc transpose data=ww out=want(drop=_name_);
by year;
var col1;
run;
Why?
That looks like a report instead of a dataset.
Easy to do in PROC REPORT, but your source data has no grouping variable.
Looks like a new group starts whenever Y=0.
data have;
input count pct year y @@;
group+(y=0);
cards;
32751 8.6 2012 0 35200 8.4 2013 1 34422 7.8 2014 2 36195 7.6 2015 3 39035 7.5 2016 4 43060 7.6 2017 5
360673 6.2 2012 0 357294 5.9 2013 1 341996 5.3 2014 2 341963 5.1 2015 3 351231 5.2 2016 4 366421 5.3 2017 5
25432 6.6 2012 0 25219 6.0 2013 1 23947 5.4 2014 2 25239 5.3 2015 3 27019 5.2 2016 4 29103 5.1 2017 5
;
proc report data=have ;
column group year,(count pct) ;
define group / group ;
define year / across ;
run;
I need further process.
@walterwang wrote:
I need further process.
Then keep it in the form you have where it is usable.
How to save the ourtput from tabulate as a data set? Any idea, thanks
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.