forked from my-liangqiongyue/generic-sas-macros
-
Notifications
You must be signed in to change notification settings - Fork 0
/
svy_freqs.sas
2315 lines (2022 loc) · 62.8 KB
/
svy_freqs.sas
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
**************************************************************************************
**************************************************************************************
** Filename : svy_freq.sas **
** **
** Author : Muthusi, Jacques Date: 19JUL2016 **
** **
** Platform : Windows **
** **
** Description : Generic macro to create publication ready table of **
** crosstabulation between a factor and a by group variable given a **
** third variable using survey/non-survey data. It also recodes **
** variables with character values to numeric values **
** **
** Macros used : %svy_col - macro to perform crosstabulation between a factor **
** and by a group variable and output COL% **
** : %svy_row - macro to perform crosstabulation between a factor **
** and by a group variable and output ROW% **
** : %svy_prev - macro to perform crosstabulation between a factor **
** and by a group variable given a third variable **
** and output ROW% (PREVALENCE) **
** : %svy_median - macro to perform MEDIAN statistics for a continuous **
** variable and a by group variable **
** : %svy_mean - macro to perform MEAN statistics for a continuous **
** variable and a by group variable **
** : %charvar - macro to recode variables with character **
** values to numeric values **
** : %distcolval - macro to get one instance of repeated values **
** **
** Input : Any dataset **
** **
** Output : Publication ready table of cross tabulation in MS Word and Excel **
** **
** Assumptions : **
** **
** Macro parameters: **
** _data = input dataset, **
** _condition = (optional) any conditional statements to create /fine-tune **
** final analysis dataset, **
** _outcome = the third variable of interest e.g, HIV status, **
** _outvalue = the value of third variable e.g., for HIV status **
** we are interested in the positive outcome which is **
** coded as 1, **
** _factors = list of factor variables (separated by space) that **
** goes to the rows, **
** _contivars = list of continuous variables (separated by space) that **
** goes to the rows as well, **
** _byvar = by group variable that goes to the columns, **
** _domain = sub-population (domain) variable of interest, **
** _domainvalue = the value of domain variable of interest **
** _strata = (optional) survey stratification variable, **
** _cluster = (optional) survey clustring variable, **
** _weight = (optional) survey weighting variable, **
** _idvar = unique subject (participant) identifier, **
** _cat_type = type of analysis for categorical variables (ROW=row, **
** COL=col, PREV=prevalence), **
** _cont_type = type of analysis for continuous variables (MEAN=for mean, **
** MEDIAN=for median), **
** _title = title of output table, **
** _tablename = shortname of output table, **
** _surveyname = shortname of survey name, **
** _print = variable for displaying/suppressing the output table **
** on the output window (NO=suppress, YES=show), **
** **
** Example call: **
** %svy_freqs ( _data =kais_final, **
** _condition =, **
** _outcome =freq, **
** _outvalue =1, **
** _factors =agecat resid educ marital constcd, **
** _contvars =age, **
** _byvar =sex, **
** _domain =hiv, **
** _domainvalue =1, **
** _strata =strata, **
** _cluster =cluster, **
** _weight =bl_weight, **
** _idvar =pid, **
** _analysis =prev, **
** _title =Table 1: Prevalence of HIV among sampled clients, **
** _tablename =kais_row, **
** _print =YES); **
** **
** Validation history **
** Validated by : Muthusi, Jacques Date: 19AUG2016 **
** **
** Modification history **
** Modified by : Muthusi, Jacques Date: 16OCT2017 **
** **
** Fixed %charvar macro **
** **
** Modified by : Muthusi, Jacques Date: 29APR2019 **
** **
** Added statements for variance estimation methods **
** **
** Modified by : Muthusi, Jacques Date: 29JUN2019 **
** **
** Updated statements for validating input parameters **
** **
**************************************************************************************
**************************************************************************************;
options mlogic mprint symbolgen;
* helper macro to test for error and exit if so -PWY;
%macro runquit();
; run; quit;
%if &syserr. ne 0 %then %do;
%abort cancel;
%end;
%mend runquit;
%let _commandstring=%nrstr(;);
%let _commandspace=%nrstr( );
data _null_;
%put &_commandstring ;
run;
%macro svy_freqs(_data=,
_condition=,
_outcome=,
_factors=,
_contvars=,
_byvar=,
_missval_lab=.,
_outvalue=,
_domain=,
_domainvalue=,
_strata=,
_cluster=,
_weight=,
_varmethod=,
_rep_weights_values=,
_varmethod_opts=,
_missval_opts=,
_idvar=,
_cat_type=,
_cont_type=,
_title=,
_tablename=,
_surveyname=,
_outdir=,
_print=);
data _dataset re_dataset xx_dataset _final_report_freq _report_freq _final_report_cont _report_cont _final_report ; run;
%* validation for input parameters;
%if %length(&_data) eq 0 %then %do;
%put ERROR: Please provide name of dataset, _data=;
%abort;
%end;
%if %length(&_factors) eq 0 and %length(&_contvars) eq 0 %then %do;
%put ERROR: Please provide atleast one factor or continuous variable, _factors= or _contvars=;
%abort;
%end;
%if %length(&_factors) ne 0 and %length(&_cat_type) eq 0 %then %do;
%put ERROR: Please provide type of analysis for &_factors., _cat_type=;
%abort;
%end;
%if %length(&_contvars) ne 0 and %length(&_cont_type) eq 0 %then %do;
%put ERROR: Please provide type of analysis for &_contvars., _cont_type=;
%abort;
%end;
%if %length(&_byvar) eq 0 %then %do;
%put ERROR: Please provide by-group variable, _byvar=;
%abort;
%end;
%if %length(&_idvar) eq 0 %then %do;
%put ERROR: Please provide unique identification variable, _idvar=;
%abort;
%end;
%if %length(&_outdir) eq 0 %then %do;
%put ERROR: Please provide output directory/path, _outdir=;
%abort;
%end;
%if %length(&_tablename) eq 0 %then %do;
%put ERROR: Please provide shortname for output table, _tablename=;
%abort;
%end;
%if %length(&_title) eq 0 %then %do;
%put ERROR: Please provide title of output table, _title=;
%abort;
%end;
%if %length(&_missval_lab) eq 0 %then %do;
%put ERROR: Please provide missing value label, _missval_lab=;
%abort;
%end;
%* prepare dataset;
data _dataset;
set &_data;
%if %length(&_domain) eq 0 %then %do;
domain_all=1;
%let _domain=%str(domain_all);
%let _domainvalue=1;
%end;
%if %length(&_outcome) eq 0 %then %do;
freq=1;
%let _outcome=%str(freq);
%let _outvalue=1;
%end;
%* show or suppress missing values;
%if &_missval_opts. eq missing %then %do;
array c{*} _numeric_;
array a{*} _numeric_;
do i=1 to dim(a);
c{i} = a{vvalue(i)};
if a{i} = &_missval_lab. then a{i} = 999;
do i=1 to dim(c);
if c{i}="999" then c{i}="Missing";
end;
drop i;
end;
%end;
%else %do;
array b{*} _numeric_;
do i=1 to dim(b);
if b{i}=&_missval_lab. then b{i} = .;
drop i;
end;
%end;
%if %length(&_condition) ne 0 %then %do;
%if %length(&_weight) ne 0 %then %do;
&_condition and &_byvar ne &_missval_lab and &_byvar ne . and &_weight > 0
%end;
%else %do;
&_condition and &_byvar ne &_missval_lab and &_byvar ne .;
%end;
%end;
%else %do;
%if %length(&_weight) ne 0 %then %do;
where &_byvar ne &_missval_lab and &_byvar ne . and &_weight > 0
%end;
%else %do;
where &_byvar ne &_missval_lab and &_byvar ne .;
%end;
%end;
&_commandstring.;
run;
ods exclude all;
%* get number of row variables;
data _final_report_freq _report_freq; run;
data _null_;
i = 0;
do while (scanq("&_factors",i+1) ^= ''); i+1; end;
call symput('no_factors', trim(left(i)));
run;
%* check for variables with character values and format/recode to numeric ones;
%let _allvars= &_outcome &_byvar &_factors ;
data _null_;
j = 0;
do while (scanq("&_allvars",j+1) ^= ''); j+1; end;
call symput('no_allvars', trim(left(j)));
run;
%do xi = 1 %to &no_allvars;
%let _allvar = %scan(&_allvars, &xi);
data _null_; set _dataset;
call symput ("vartype", vtype(&_allvar));
run;
%if &vartype=C %then %do;
%charvar(_data=_dataset, _allvar=&_allvar, _idvar=&_idvar);
%end;
%if &xi = 1 %then %do;
data re_dataset;
set _dataset;
run;
%end;
%else %do;
proc sort data=_dataset; by &_idvar; run;
data re_dataset;
%if %sysfunc(exist(char_&_data)) %then %do;
merge _dataset char_&_data;
by &_idvar;
%end;
%else %do;
set _dataset;
%end;
run;
%end;
%end;
data xx_dataset;
set _dataset;
%do xi = 1 %to &no_allvars;
%if &vartype=C %then %do;
drop &_allvarξ
%end;
%end;
&_condition;
run;
proc sort data=re_dataset; by &_idvar; run;
proc sort data=xx_dataset; by &_idvar; run;
data xx_dataset;
merge xx_dataset(drop=&_allvar) re_dataset;
by &_idvar;
run;
%* for categorical variables;
%do vi = 1 %to &no_factors;
%let _factor = %scan(&_factors,&vi);
%* for prevalence;
%if %upcase(&_cat_type) = PREV %then %do;
%svy_prev (_data = xx_dataset,
_outcome = &_outcome,
_factor = &_factor,
_byvar = &_byvar,
_missval_lab = &_missval_lab,
_outvalue = &_outvalue,
_domain = &_domain,
_domainvalue = &_domainvalue,
_strata = &_strata,
_cluster = &_cluster,
_weight = &_weight,
_missval_opts = &_missval_opts);
%end;
%* for row percentages;
%if %upcase(&_cat_type) = ROW %then %do;
%svy_row (_data = xx_dataset,
_outcome = &_outcome,
_factor = &_factor,
_byvar = &_byvar,
_missval_lab = &_missval_lab,
_outvalue = &_outvalue,
_domain = &_domain,
_domainvalue = &_domainvalue,
_strata = &_strata,
_cluster = &_cluster,
_weight = &_weight,
_missval_opts = &_missval_opts);
%end;
%* for column percentages;
%if %upcase(&_cat_type) = COL %then %do;
%svy_col(_data = xx_dataset,
_outcome = &_outcome,
_factor = &_factor,
_byvar = &_byvar,
_missval_lab = &_missval_lab,
_outvalue = &_outvalue,
_domain = &_domain,
_domainvalue = &_domainvalue,
_strata = &_strata,
_cluster = &_cluster,
_weight = &_weight,
_missval_opts = &_missval_opts);
%end;
%if &vi = 1 %then %do;
data _final_report_freq; set _report_freq;
run;
%end;
%else %do;
data _final_report_freq; set _final_report_freq _report_freq;
run;
%end;
%end;
%* for continuous variables get number of row variables;
data _final_report_cont _report_cont; run;
data _null_;
k = 0;
do while (scanq("&_contvars",k+1) ^= " "); k+1; end;
call symput("no_contvars", trim(left(k)));
run;
%do vii = 1 %to &no_contvars;
%let _contvar = %scan(&_contvars,&vii);
%if %upcase(&_cont_type)=MEDIAN %then %do;
%svy_median(_data = xx_dataset,
_outcome = &_outcome,
_outvalue = &_outvalue,
_contvar = &_contvar,
_missval_lab= &_missval_lab,
_byvar = &_byvar,
_domain = &_domain,
_domainvalue= &_domainvalue,
_strata = &_strata,
_cluster = &_cluster,
_weight = &_weight,
_missval_opts = &_missval_opts);
%end;
%if %upcase(&_cont_type)=MEAN %then %do;
%svy_mean( _data = xx_dataset,
_outcome = &_outcome,
_outvalue = &_outvalue,
_contvar = &_contvar,
_missval_lab= &_missval_lab,
_byvar = &_byvar,
_domain = &_domain,
_domainvalue= &_domainvalue,
_strata = &_strata,
_cluster = &_cluster,
_weight = &_weight,
_missval_opts = &_missval_opts);
%end;
%if &vii = 1 %then %do;
data _final_report_cont; set _report_cont;
run;
%end;
%else %do;
data _final_report_cont; set _final_report_cont _report_cont;
run;
%end;
%end;
%* get domain size;
proc sql noprint;
select count(*) into: nobs separated by ' ' from _temp_
where &_domain = &_domainvalue and &_byvar ne &_missval_lab and
%if %upcase(&_cat_type) = PREV %then %do; &_outcome ne &_missval_lab %end;
%else %do; &_outcome=&_outvalue %end;;
quit;
%global domsize;
%let domsize=&nobs;
%* merge data table from factors and medians;
data _final_report;
%if %sysfunc(exist(_final_report_freq)) %then %do;
set _final_report_freq _final_report_cont;
%end;
%else %do;
set _final_report_cont;
%end;
run;
%* create a reporting template;
proc sort data =xx_dataset; by &_byvar; run;
data _null_; set xx_dataset; by &_byvar;
if first.&_byvar and &_byvar ne &_missval_lab and not missing(&_byvar) then do;
i+1;
call symput("colvname"||trim(left(i)), "&_byvar._"||trim(left(&_byvar)));
call symput("collabel"||trim(left(i)), trim(left(vvalue(&_byvar))));
call symput('no_cols', trim(left(i)));
end;
run;
%if %upcase(&_print) = NO %then %do; ods exclude all; %end;
%else %do; ods exclude none; %end;
%* define report template;
proc template;
define style KAIS;
parent = styles.printer;
replace fonts /
"titlefont2" = ("Times New Roman", 11pt, Bold)
"titlefont" = ("Times New Roman", 12pt, Bold)
"strongfont" = ("Times New Roman", 10pt, Bold)
"emphasisfont" = ("Times New Roman", 10pt, Bold)
"fixedemphasisfont" = ("Times New Roman", 10pt, Bold)
"fixedstrongfont" = ("Times New Roman", 10pt, Bold)
"fixedheadingfont" = ("Times New Roman", 10pt, Bold)
"batchfixedfont" = ("Times New Roman", 10pt, Bold)
"fixedfont" = ("Times New Roman", 10pt, Bold)
"headingemphasisfont" = ("Times New Roman", 10pt, Bold)
"headingfont" = ("Times New Roman", 10pt, Bold)
"docfont" = ("Times New Roman", 10pt);
end;
run;
%* suppress macro options;
option nomprint nosymbolgen nomlogic nodate nonumber;
%* generate output table in MS Word and Excel using defined template;
ods escapechar = "^";
%* ods noresults; %* trying to suppress auto opening of files - PWY;
%* removed by muthusi - option already defined in the macro;
ods rtf file="&_outdir\&_tablename..rtf" style=KAIS;
ods tagsets.ExcelXP file="&_outdir\&_tablename..xls" style=KAIS;
ods tagsets.ExcelXP options(sheet_label="&_tablename" suppress_bylines="yes" embedded_titles="yes");
title "&_title" ", N=&domsize";
footnote height=8pt j=l "(Dated: &sysdate)" j=c "{\b\ Page }{\field{\*\fldinst {\b\i PAGE}}}" j=r "&_surveyname";
options papersize = A4 orientation = landscape;
%* output for prevalence tables;
%if %upcase(&_cat_type) = PREV %then %do;
proc report data=_final_report headline split="*" missing spacing=1 nowd;
column variable
%do i = 1 %to &no_cols;
("&&collabel&i." N_&&colvname&i. _c_&&colvname&i. _i_&&colvname&i) %end;
("Total" N_total_&_byvar _c_total_&_byvar _i_total_&_byvar);
define variable / display width = 30 right "Characteristic" flow;
%do j=1 %to &no_cols;
define N_&&colvname&j. / display width=10 right "Unweighted * n/N" flow;
define _c_&&colvname&j. / display width=10 center "Weighted * Prev. %" flow;
define _i_&&colvname&j. / display width=20 center "95 % CI" flow;
%end;
define N_total_&_byvar / display width=10 right "Unweighted * n/N" flow;
define _c_total_&_byvar / display width=10 center "Weighted * Prev. %" flow;
define _i_total_&_byvar / display width=20 center "95 % CI" flow;
run;
%end;
%else %do;
%* output for tables with continuous variables only;
%if %length(&_factors) = 0 %then %do;
%if %upcase(&_cat_type) = ROW %then %do;
proc report data=_final_report headline split="*" missing spacing=1 nowd;
column variable
%do i = 1 %to &no_cols;
("&&collabel&i." N_&&colvname&i. _c_&&colvname&i. _i_&&colvname&i) %end;;
*("Total" N_total_&_byvar _c_total_&_byvar _i_total_&_byvar);
define variable / display width = 30 right "Characteristic" flow;
%do j=1 %to &no_cols;
define N_&&colvname&j. / display width=10 right "Unweighted * n/N" flow;
define _c_&&colvname&j. / display width=10 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "Weighted * Median" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "Weighted * Mean" flow; %end;;
define _i_&&colvname&j. / display width=20 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "IQR * " flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "95 % CI * " flow; %end;;
* define breakvar/ ' ' style(column)={cellwidth=3%};
%end;
* define N_total_&_byvar / display width=10 right "Unweighted * n/N " flow;
* define _c_total_&_byvar / display width=10 center "Weighted %" flow;
* define _i_total_&_byvar / display width=20 center "95 % CI" flow;
run;
%end;
%if %upcase(&_cat_type) = COL %then %do;
proc report data=_final_report headline split="*" missing spacing=1 nowd;
column variable
%do i = 1 %to &no_cols;
("&&collabel&i." _n_&&colvname&i. _c_&&colvname&i. _i_&&colvname&i) %end;
("Total" _n_total_&_byvar _c_total_&_byvar _i_total_&_byvar);
define variable / display width = 30 right "Characteristic" flow;
%do j=1 %to &no_cols;
define _n_&&colvname&j. / display width=10 right "Unweighted * n" flow;
define _c_&&colvname&j. / display width=10 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "Weighted * median" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "Weighted * mean" flow; %end;;
define _i_&&colvname&j. / display width=20 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "IQR" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "95 % CI" flow; %end;;
* define breakvar/ ' ' style(column)={cellwidth=3%};
%end;
define _n_total_&_byvar / display width=10 right "Unweighted * N" flow;
define _c_total_&_byvar / display width=10 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "Weighted * Median" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "Weighted * Mean" flow; %end;;
define _i_total_&_byvar / display width=20 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "IQR * " flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "95 % CI * " flow; %end;;
run;
%end;
%end;
%* output options for table with categorical variables only;
%if %length(&_contvars) = 0 %then %do;
%if %upcase(&_cat_type) = ROW %then %do;
proc report data=_final_report headline split="*" missing spacing=1 nowd;
column variable
%do i = 1 %to &no_cols;
("&&collabel&i." N_&&colvname&i. _c_&&colvname&i. _i_&&colvname&i) %end;;
*("Total" N_total_&_byvar _c_total_&_byvar _i_total_&_byvar);
define variable / display width = 30 right "Characteristic" flow;
%do j=1 %to &no_cols;
define N_&&colvname&j. / display width=10 right "Unweighted * n/N" flow;
define _c_&&colvname&j. / display width=10 center "Weighted % * " flow;
define _i_&&colvname&j. / display width=20 center "95 % CI * " flow;
* define breakvar/ ' ' style(column)={cellwidth=3%};
%end;
* define N_total_&_byvar / display width=10 right "Unweighted * n/N " flow;
* define _c_total_&_byvar / display width=10 center "Weighted %" flow;
* define _i_total_&_byvar / display width=20 center "95 % CI" flow;
run;
%end;
%if %upcase(&_cat_type) = COL %then %do;
proc report data=_final_report headline split="*" missing spacing=1 nowd;
column variable
%do i = 1 %to &no_cols;
("&&collabel&i." _n_&&colvname&i. _c_&&colvname&i. _i_&&colvname&i) %end;
("Total" _n_total_&_byvar _c_total_&_byvar _i_total_&_byvar);
define variable / display width = 30 right "Characteristic" flow;
%do j=1 %to &no_cols;
define _n_&&colvname&j. / display width=10 right "Unweighted * n" flow;
define _c_&&colvname&j. / display width=10 center "Weighted % * " flow;
define _i_&&colvname&j. / display width=20 center "95 % CI * " flow;
%end;
define _n_total_&_byvar / display width=10 right "Unweighted * N " flow;
define _c_total_&_byvar / display width=10 center "Weighted % * " flow;
define _i_total_&_byvar / display width=20 center "95 % CI * " flow;
run;
%end;
%end;
%* output options for table containing both categorical and continuous variables;
%else %do;
%if %upcase(&_cat_type) = ROW %then %do;
proc report data=_final_report headline split="*" missing spacing=1 nowd;
column variable
%do i = 1 %to &no_cols;
("&&collabel&i." N_&&colvname&i. _c_&&colvname&i. _i_&&colvname&i) %end;;
*("Total" N_total_&_byvar _c_total_&_byvar _i_total_&_byvar);
define variable / display width = 30 right "Characteristic" flow;
%do j=1 %to &no_cols;
define N_&&colvname&j. / display width=10 right "Unweighted * n/N " flow;
define _c_&&colvname&j. / display width=10 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "Weighted % * (or Median)" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "Weighted % * (or Mean)" flow; %end;;
define _i_&&colvname&j. / display width=20 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "95 % CI * (or IQR)" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "95 % CI * " flow; %end;;
* define breakvar/ ' ' style(column)={cellwidth=3%};
%end;
* define N_total_&_byvar / display width=10 right "Unweighted * n/N " flow;
* define _c_total_&_byvar / display width=10 center "Weighted %" flow;
* define _i_total_&_byvar / display width=20 center "95 % CI" flow;
run;
%end;
%if %upcase(&_cat_type) = COL %then %do;
proc report data=_final_report headline split="*" missing spacing=1 nowd;
column variable
%do i = 1 %to &no_cols;
("&&collabel&i." _n_&&colvname&i. _c_&&colvname&i. _i_&&colvname&i) %end;
("Total" _n_total_&_byvar _c_total_&_byvar _i_total_&_byvar);
define variable / display width = 30 right "Characteristic" flow;
%do j=1 %to &no_cols;
define _n_&&colvname&j. / display width=10 right "Unweighted * n " flow;
define _c_&&colvname&j. / display width=10 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "Weighted % * (or median)" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "Weighted % * (or mean)" flow; %end;;
define _i_&&colvname&j. / display width=20 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "95 % CI * (or IQR)" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "95 % CI * " flow; %end;;
* define breakvar/ ' ' style(column)={cellwidth=3%};
%end;
define _n_total_&_byvar / display width=10 right "Unweighted * N " flow;
define _c_total_&_byvar / display width=10 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "Weighted % * (or median)" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "Weighted % * (or mean)" flow; %end;;
define _i_total_&_byvar / display width=20 center
%if %upcase(&_cont_type) = MEDIAN %then %do; "95 % CI * (or IQR)" flow; %end;
%if %upcase(&_cont_type) = MEAN %then %do; "95 % CI * " flow; %end;;
run;
%end;
%end;
%end;
footnote;
title;
ods tagsets.excelxp close;
ods rtf close;
ods exclude none;
%mend svy_freqs;
%* main cross tabulation macro for column percentages;
%macro svy_col( _data=,
_condition=,
_outcome=,
_outvalue=,
_factor=,
_byvar=,
_missval_lab=,
_domain=,
_domainvalue=,
_strata=,
_cluster=,
_weight=,
_missval_opts=);
%* clean temporary datasets;
data _temp_ Crosstab1 Crosstabtotal1 Crosstabtotal Crosstab totals merged final xtab0 xtab1 _merge _merge_level _merge_total _merge_varname _report_freq; run;
%* finetuning the data;
data _temp_;
set &_data;
%if %length(&_missval_opts) ne 0 %then %do;
if &_byvar eq &_missval_lab or &_byvar eq .
then delete;
%end;
%else %do;
if &_factor eq &_missval_lab or &_factor eq .
or &_byvar eq &_missval_lab or &_byvar eq .
then delete;
%end;
run;
%* create the cross-tabluation table;
ods output CrossTabs=Crosstab1;
proc surveyfreq data=_temp_ %if %upcase(&_varmethod)=JK or %upcase(&_varmethod)=JACKKNIFE or %upcase(&_varmethod)=BRR %then %do;
varmethod = &_varmethod.;
%end;
%if %length(&_missval_opts) ne 0 %then %do;
&_commandspace. &_missval_opts. &_commandstring.;
%end;
%else %do;
&_commandstring.;
%end;
%* apply if survey design if specified;
%if %length(&_strata) ne 0 %then %do;
stratum &_strata;
%end;
%if %length(&_cluster) ne 0 %then %do;
cluster &_cluster;
%end;
%if %length(&_weight) ne 0 %then %do;
weight &_weight;
%end;
%if %length(&_rep_weights_values) ne 0 %then %do;
repweights &_rep_weights_values
%if %length(&_varmethod_opts) ne 0 %then %do;
/ &_varmethod_opts. &_commandstring.;
%end;
%else %do;
&_commandstring.;
%end;
%end;
tables &_domain*&_byvar*&_factor*&_outcome/col cl chisq;
run;
%* create the cross-tabluation totals;
ods output CrossTabs=Crosstabtotal1;
proc surveyfreq data=_temp_ %if %upcase(&_varmethod)=JK or %upcase(&_varmethod)=JACKKNIFE or %upcase(&_varmethod)=BRR %then %do;
varmethod = &_varmethod.;
%end;
%if %length(&_missval_opts) ne 0 %then %do;
&_commandspace. &_missval_opts. &_commandstring.;
%end;
%else %do;
&_commandstring.;
%end;
%* apply if survey design if specified;
%if %length(&_strata) ne 0 %then %do;
stratum &_strata;
%end;
%if %length(&_cluster) ne 0 %then %do;
cluster &_cluster;
%end;
%if %length(&_weight) ne 0 %then %do;
weight &_weight;
%end;
%if %length(&_rep_weights_values) ne 0 %then %do;
repweights &_rep_weights_values
%if %length(&_varmethod_opts) ne 0 %then %do;
/ &_varmethod_opts. &_commandstring.;
%end;
%else %do;
&_commandstring.;
%end;
%end;
tables &_domain*&_factor*&_outcome/col cl;
run;
data Crosstabtotal;
set Crosstabtotal1;
f_&_factor=vvalue(&_factor);
run;
data Crosstabtotal;
set Crosstabtotal;
if &_factor = . then f_&_factor ="Total";
run;
data Crosstab;
set Crosstab1 Crosstabtotal;
proc sort;
by f_&_factor;
run;
data Crosstab;
set Crosstab;
f_&_byvar=vvalue(&_byvar);
if &_byvar = . then f_&_byvar ="Total";
run;
%* create total for each rows;
data totals (keep=f_&_byvar freqtot);
set crosstab(rename=(frequency=freqtot));
if f_&_factor = "Total" and &_outcome=&_outvalue then output;
proc sort;
by f_&_byvar;
run;
proc sort data=Crosstab;
by f_&_byvar;
run;
%* merge back with the frequency table to adds "Totals" back to surveyfreq ods ouput;
data merged;
merge totals crosstab ;
by f_&_byvar;
if &_outcome=&_outvalue and &_domain=&_domainvalue then output;
run;
%* create table for the output;
data final(keep=f_&_factor &_factor f_&_byvar &_byvar _n N _i _c variable);
set merged;
charLCL = put(ColLowerCL,4.1);
charUCL = put(ColUpperCL,4.1);
_c = put(ColPercent,4.1);
_n = put(frequency, 5.0);
denominator = put(freqtot, 5.0);
variable = f_&_factor;
_i = '('||trim(left(charLCL))||' - '||trim(left(charUCL))||')'; *confidence _i (LCL, UCL);
N = trim((_n))||'/'||trim(left(denominator));
label N = 'Unweighted n/N';
label _c = '%';
label _i = '95% CI';
if f_&_factor = "Total" then do;
charLCL = "";
charUCL = "";
end;
proc sort;
by &_factor f_&_byvar;
run;
%* prepare data for reporting;
proc surveyfreq data = _temp_;
tables &_byvar*&_outcome;
ods output 'CrossTabulation Table' = xtab0;
run;
data xtab1;
set xtab0;
_ordervar=_n_;
run;
proc sort data=xtab1 nodupkey;
by f_&_byvar;
run;
proc sort data=xtab1 ;
by _ordervar;
run;
proc sort data =_temp_; by &_byvar; run;
data _null_; set _temp_; by &_byvar;
if first.&_byvar and &_byvar ne &_missval_lab and not missing(&_byvar) then do;
i+1;
call symput("colvname"||trim(left(i)), "&_byvar._"||trim(left(&_byvar)));
call symput("collabel"||trim(left(i)), trim(left(vvalue(&_byvar))));
call symput('no_cols', trim(left(i)));
end;
run;
%do i = 1 %to &no_cols;
data A_&&colvname&i &&colvname&i; run;
data A_&&colvname&i;
set final;
if upcase(trim(left(f_&_byvar))) = upcase(trim(left("&&collabel&i"))) then output;
run;
data &&colvname&i;
set A_&&colvname&i;
_n_&&colvname&i. =_n;
N_&&colvname&i. =N;
_i_&&colvname&i. =_i;
_c_&&colvname&i. =_c;
output;
run;
proc sort data=&&colvname&i;
by &_factor;
run;
%* totals;
data A_total_&_byvar;
set final;
if upcase(trim(left(f_&_byvar))) = upcase(trim(left("Total"))) then output;
run;
data total_&_byvar;
set A_total_&_byvar;
_n_total_&_byvar = _n;
N_total_&_byvar = N;
_i_total_&_byvar = _i;
_c_total_&_byvar = _c;
output;
run;
proc sort data=total_&_byvar;
by &_factor;
run;
%end;
data _merge;
merge %do i = 1 %to &no_cols; &&colvname&i %end; total_&_byvar;
by &_factor;
breakvar='';
run;
data _merge_level;
set _merge;
if f_&_factor="Total" then delete;
run;
data _merge_total;
set _merge;
if f_&_factor="Total" then output;
run;
data _null_;
set _temp_;
call symput("flabel", trim(left(vlabel(&_factor))));
run;
data _merge_varname (keep=variable);
length variable $200;
set _merge;
variable="&flabel";
run;
%* get only one instance of varname (total frequency);
%distcolval(_data=_merge_varname, _var=variable);
data _report_freq;
set _merge_varname _merge_level _merge_total;
run;
%mend svy_col;
%* main cross tabulation macro for row percentages;
%macro svy_row( _data=,
_outcome=,
_outvalue=,
_byvar=,
_factor=,
_missval_lab=,
_domain=,
_domainvalue=,
_strata=,
_cluster=,
_weight=,
_missval_opts=);
%* clean temporary datasets;
data _temp_ _report_freq Crosstab1 Crosstabtotal1 Crosstabtotal Crosstab totals merged final xtab0 xtab1 _merge _merge_level _merge_total _merge_varname; run;
%* finetuning the data;
data _temp_;
set &_data;
%if %length(&_missval_opts) ne 0 %then %do;
if &_byvar eq &_missval_lab or &_byvar eq .
then delete;
%end;
%else %do;
if &_factor eq &_missval_lab or &_factor eq .
or &_byvar eq &_missval_lab or &_byvar eq .
then delete;
%end;
run;
%* create the cross-tabluation table;
ods output CrossTabs=Crosstab1;
proc surveyfreq data=_temp_ %if %upcase(&_varmethod)=JK or %upcase(&_varmethod)=JACKKNIFE or %upcase(&_varmethod)=BRR %then %do;
varmethod = &_varmethod.;
%end;
%if %length(&_missval_opts) ne 0 %then %do;