1. SAS PROC REPORT PROC TABULATE
Computing for Research I
January 27, 2014

2. PROC REPORT

3. Proc Report Intro
Similar to Proc Print, with more control over output appearance and format
Produces detail reports (data listings) and summary reports

4. Proc Report Syntax Basics
PROC REPORT data=dataset <options>;
COLUMN var1 var2 var3;
DEFINE var1 / <options>;
DEFINE var2 / <options>;
RUN;

5. Proc Report Statement DATA= input data set
NOWD/NOWINDOWS Option - non-interactive mode
Additional Options - control layout of the report
COLWIDTH=
MISSING
SPLIT=‘character’
SPANROWS (for ODS only)
STYLE<(location(s))>=<style-element-name><[style-attribute-specification(s)]> (for ODS only)
SPANROWS - specifies that a single cell will occupy the column in all the rows for which the value is the same. Only applies to ODS MARKUP, PDF, RTF, and PRINTER destinations.
STYLE<(location(s))>=<style-element-name><[style-attribute-specification(s)]>specifies one or more style elements (for the Output Delivery System) to use for different parts of the report.
COLWIDTH=column-width - specifies the default number of characters for columns containing computed variables or numeric data set variables.
MISSING - considers missing values as valid values for group, order, or across variables.
SPLIT='character‘ - specifies the split character.

6. Other Statements
Column Statement - describes the arrangement of columns and column headers that span >1 column
Define Statement
Variable Appearance (format, label, justify)
Variable Usage
DISPLAY – default for character variables
ANALYSIS – default for numeric variables
ORDER – determines row order
ORDER=FORMATTED | INTERNAL | DATA | FREQ
GROUP – consolidates unique values of GROUP variables
into one row
Rbreak Statement - produces a default summary at the beginning or end of a report or at the beginning or end of each BY group.

7. Vital Signs Dataset SubjectID (47 subjects)
VisitID (1-16), Visit Nm (Baseline, Day 1 – Day 15)
SBP, DBP, Heart Rate, Central Venous Pressure
1 record per subject per visit

8. Proc Report Code: Example 1
title 'Baseline and Day 1 Blood Pressure' ;
proc report data=vitals nowd split='*';
where visitid in (1,2) and 1020 le subjectid le 1029;
columns subjectid visitnm ('Blood*Pressure' SBP DBP);
define subjectid / 'Subject' order;
define visitnm / 'Visit' ;
define SBP / 'Systolic' format=8. center;
define DBP / 'Diastolic' format=8. center;
run;

9. Proc Report Output: Example 1
Baseline and Day 1 Blood Pressure
Blood Pressure
Subject
Visit
Systolic
Diastolic
1020
Baseline
160 80
Day 1
1021
145
100
151 70
1022
195
105 85
1023
135 75
158 94
1024
186
1025
146 82
1026
155
165
1027
134
1028
178 83 86
1029
180

10. Proc Print Comparison: Example 1
SubjectID
VisitNm
Systolic Blood Pressure
Diastolic Blood Pressure
1020
Baseline
160 80
Day 1
1021
145
100
151 70
1022
195
105 85
1023
135 75
158 94
1024
186
1025
146 82
1026
155
165
1027
134
1028
178 83 86
1029
180
proc sort data=vitals;
by subjectid;
run;
proc print data=vitals label noobs;
where visitid in (1,2) and le subjectid le 1029;
var subjectid visitnm SBP DBP;

11. Proc Report Code: Example 2
ods rtf;
title 'Average Blood Pressure by Visit';
proc report data=vitals nowd split='*'
style(header)=[fontsize=14pt textalign=center
foreground=white background=black];
columns visitnm ('Average*Blood Pressure' SBP DBP);
define visitnm / 'Visit' group order=data;
define SBP / 'Systolic' format=8. center mean;
define DBP / 'Diastolic' format=8. center mean;
rbreak after /summarize;
run;
ods rtf close;

12. Proc Report Output: Example 2
Average Blood Pressure by Visit
Average Blood Pressure
Visit
Systolic
Diastolic
Baseline
159 81
Day 1
163 83
Day 2
169 87
Day 3
170 89
Day 4 91
Day 5
174
Day 6
173
Day 7 90
Day 8
Day 9
Day 10 88
Day 11
166
Day 12
Day 13
168
Day 14
161
Day 15 86

13. Proc Means Comparison: Example 2
ods rtf;
title 'Average Blood Pressure by Visit';
proc means data=vitals
mean;
class visitnm;
var SBP DBP;
run;
ods rtf close;
VisitNm
N Obs
Variable
Label
Mean
Baseline 47
SBP DBP
Systolic Blood Pressure Diastolic Blood Pressure
Day 1 46
Day 10 36
Day 11 33
Day 12 26
Day 13
Day 14 24
Day 15 19
Day 2 …

14. Proc Report Resources SAS Documentation Learning Proc Report
Proc Report Advanced Tutorial

15. PROC TABULATE

16. Proc Tabulate Intro
Similar to Proc Means and Proc Freq, in tabular format
Creates summary reports with descriptive statistics

17. Proc Tabulate Syntax Basics
PROC TABULATE data=dataset;
CLASS classification variables;
VAR analysis variables;
TABLE page dimension,
row dimension,
column dimension / <options>;
RUN;
Depending on the variables you are looking at, the ‘class’ and ‘var’ statements will be required (at least one is required).
Var statement used to analyze numeric variables.

18. Class and Var Statements
Class Statement
identifies the class variables (character or numeric)
determines the categories that Proc Tabulate uses to calculate statistics
Missing Option - if not included, observations with any missing class variable values are excluded from the table
Var Statement
Identifies numeric variables to use as analysis variables.

19. Table Statement Required for procedure Describes the table to create
Format: page variables, row variables, column variables
Can include variable names, keyword statistics, and operators
Options
PRINTMISS
MISSTEXT=
BOX=

20. Table Statement Operators
Comma – starts a new dimension
Blank – concatenates elements
Asterisk – creates categories from the combination of values of the class variables and calculates appropriate statistics if class and analysis variables are crossed
Parentheses – groups elements, associates operator with each element in the group

21. Table Statement Statistic Keywords
N NMISS PCTN COLPCTN ROWPCTN MEAN STD MIN MAX MEDIAN Q1 Q3 many more…

22. Other Statements KEYLABEL – labels a statistic keyword
KEYWORD – specifies a style element for keyword headings
CLASSLEV – specifies a style element for class variable level value headings

23. Proc Tabulate Code: Example 1
proc tabulate data=vitals;
where visitid in (1,2) and
1020 le subjectid le 1029;
class subjectid visitnm;
table all subjectid,
(visitnm='Visits')*(n pctn='%') / box=[label='Subjects x Visits'] misstext='MISSING' printmiss;
run;

24. Proc Tabulate Output: Example 1
Subjects x Visits
Visits
Baseline
Day 1 N %
All 10
52.63 9
47.37
SubjectID 1
5.26
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
MISSING
0.00

25. Example 1: Proc Freq Comparison
proc freq data=vitals; where visitid in (1,2) and 1020 le subjectid le 1029; table subjectid*visitnm /norow nocol; run;
Table of SubjectID by VisitNm
SubjectID(SubjectID)
VisitNm(VisitNm)
Frequency Percent
Baseline
Day 1
Total
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029

26. Proc Tabulate Code: Example 2
title 'Average Blood Pressure Across Baseline and Day 1';
proc tabulate data=vitals;
where visitid in (1,2)
and 1020 le subjectid le 1029;
class subjectid ;
var SBP DBP;
table all subjectid,
(SBP DBP)*(n mean*f=8.1 std*f=8.1);
keylabel std='SD';
run;

27. Proc Tabulate Output: Example 2
Average Blood Pressure Across Baseline and Day 1
Systolic Blood Pressure
Diastolic Blood Pressure N
Mean SD
All 19
158.9
18.6
83.6
8.3
SubjectID 2
160.0
0.0
80.0
1020
1021
148.0
4.2
85.0
21.2
1022
170.0
35.4
95.0
14.1
1023
146.5
16.3
84.5
13.4
1024
186.0
1025
146.0
82.0
1026
7.1
1027
134.0
81.0
1.4
1028
169.0
12.7
2.1
1029 1
180.0 .
75.0

28. Example 2: Proc Means Comparison
proc means data=vitals mean std; where visitid in (1,2) and 1020 le subjectid le 1029; class subjectid; var SBP DBP; run;
SubjectID
N Obs
Variable
Label
Mean
Std Dev
1020 2
SBP DBP
Systolic Blood Pressure Diastolic Blood Pressure
0 0
1021
1022
1023
1024
1025
1026
1027
1028
1029 1
. .

29. Proc Tabulate Resources
SAS Documentation
Proc Tabulate Introduction
Using Style Elements in the REPORT and TABULATE Procedures

30. Reporting Data Plan the layout Use a report writing tool
Summary statistics, analysis output or data listings?
Content of columns/rows?
Order of columns/rows?
Font
Use a report writing tool

31. QUESTIONS?