sas proc report proc tabulate

SASPROC REPORT

PROC TABULATE

Computing for Research I

January 27, 2014

PROC REPORT

Proc Report Intro

Similar to Proc Print, with more control over output appearance and format

Produces detail reports (data listings) and summary reports

Proc Report Syntax Basics

PROC REPORT data=dataset <options>; COLUMN var1 var2 var3;DEFINE var1 / <options>;DEFINE var2 / <options>;

RUN;

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)

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 variablesANALYSIS – default for numeric variablesORDER – 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.

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

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;

Proc Report Output: Example 1

Baseline and Day 1 Blood Pressure

Blood

PressureSubject Visit Systolic Diastolic

1020 Baseline 160 80 Day 1 160 801021 Baseline 145 100 Day 1 151 701022 Baseline 195 105 Day 1 145 851023 Baseline 135 75 Day 1 158 941024 Baseline 186 80 Day 1 186 801025 Baseline 146 82 Day 1 146 821026 Baseline 155 85 Day 1 165 851027 Baseline 134 80 Day 1 134 821028 Baseline 178 83 Day 1 160 861029 Baseline 180 75

Proc Print Comparison: Example 1

proc sort data=vitals; by subjectid; run;proc print data=vitals label noobs; where visitid in (1,2) and

1020 le subjectid le 1029; var subjectid visitnm SBP DBP;run;

SubjectID VisitNmSystolic Blood

PressureDiastolic Blood

Pressure1020 Baseline 160 80

1020 Day 1 160 801021 Baseline 145 1001021 Day 1 151 701022 Baseline 195 1051022 Day 1 145 85

1023 Baseline 135 751023 Day 1 158 941024 Baseline 186 801024 Day 1 186 801025 Baseline 146 821025 Day 1 146 82

1026 Baseline 155 851026 Day 1 165 851027 Baseline 134 801027 Day 1 134 82

1028 Baseline 178 831028 Day 1 160 861029 Baseline 180 75

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;

Proc Report Output: Example 2

Average Blood Pressure by Visit

Average Blood PressureVisit Systolic Diastolic

Baseline 159 81

Day 1 163 83Day 2 169 87Day 3 170 89Day 4 170 91Day 5 174 91Day 6 173 89Day 7 173 90Day 8 174 90Day 9 170 90Day 10 170 88Day 11 166 91Day 12 170 91Day 13 168 90Day 14 161 89Day 15 159 86

169 88

Proc Means Comparison: Example 2

VisitNm N Obs Variable Label MeanBaseline 47 SBP

DBPSystolic Blood PressureDiastolic Blood Pressure

158.936170280.5744681

Day 1 46 SBPDBP

Systolic Blood PressureDiastolic Blood Pressure

162.782608783.3043478

Day 10 36 SBPDBP


169.888888988.3888889

Day 11 33 SBPDBP


166.303030391.0000000

Day 12 26 SBPDBP


170.269230891.0384615

Day 13 26 SBPDBP


167.846153889.5769231

Day 14 24 SBPDBP


161.416666789.0833333

Day 15 19 SBPDBP


158.736842185.6315789

Day 2 47 SBPDBP


168.574468187.4680851

…

ods rtf;title 'Average Blood Pressure by Visit';proc means data=vitals mean;

class visitnm;var SBP DBP;

run;ods rtf close;

Proc Report Resources

• SAS Documentation

• Learning Proc Reporthttp://www2.sas.com/proceedings/forum2008/170-2008.pdf

• Proc Report Advanced Tutorialhttp://www2.sas.com/proceedings/sugi28/015-28.pdf

PROC TABULATE

Proc Tabulate Intro

Similar to Proc Means and Proc Freq, in tabular format

Creates summary reports with descriptive statistics

Proc Tabulate Syntax Basics

PROC TABULATE data=dataset;

CLASS classification variables;

VAR analysis variables;

TABLE page dimension,

row dimension,

column dimension / <options>;

RUN;

Class and Var Statements

Class Statementidentifies the class variables (character or numeric)determines the categories that Proc Tabulate uses to calculate statisticsMissing Option - if not included, observations with any missing class variable values are excluded from the table

Var StatementIdentifies numeric variables to use as analysis variables.

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=

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

Table Statement Statistic Keywords

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

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;

Proc Tabulate Output: Example 1

Subjects x Visits

VisitsBaseline Day 1

N % N %All 10 52.63 9 47.37

SubjectID

1 5.26 1 5.2610201021 1 5.26 1 5.26

1022 1 5.26 1 5.26

1023 1 5.26 1 5.26

1024 1 5.26 1 5.26

1025 1 5.26 1 5.26

1026 1 5.26 1 5.26

1027 1 5.26 1 5.26

1028 1 5.26 1 5.26

1029 1 5.26 MISSING 0.00

Example 1: Proc Freq Comparison

Table of SubjectID by VisitNm

SubjectID(SubjectID) VisitNm(VisitNm)FrequencyPercent Baseline Day 1 Total

1020 15.26

15.26

210.53

1021 15.26

15.26

210.53

1022 15.26

15.26

210.53

1023 15.26

15.26

210.53

1024 15.26

15.26

210.53

1025 15.26

15.26

210.53

1026 15.26

15.26

210.53

1027 15.26

15.26

210.53

1028 15.26

15.26

210.53

1029 15.26

00.00

15.26

Total 1052.63

947.37

19100.00

proc freq data=vitals;


table subjectid*visitnm /norow nocol;

run;

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;

Proc Tabulate Output: Example 2

Systolic Blood Pressure Diastolic Blood Pressure

N Mean SD N Mean SDAll 19 158.9 18.6 19 83.6 8.3

SubjectID

2 160.0 0.0 2 80.0 0.01020

1021 2 148.0 4.2 2 85.0 21.2

1022 2 170.0 35.4 2 95.0 14.1

1023 2 146.5 16.3 2 84.5 13.4

1024 2 186.0 0.0 2 80.0 0.0

1025 2 146.0 0.0 2 82.0 0.0

1026 2 160.0 7.1 2 85.0 0.0

1027 2 134.0 0.0 2 81.0 1.4

1028 2 169.0 12.7 2 84.5 2.1

1029 1 180.0 . 1 75.0 .

Average Blood Pressure Across Baseline and Day 1

Example 2: Proc Means Comparison

proc means data=vitals

mean std;


class subjectid;

var SBP DBP;

run;

SubjectID

N Ob

s Variable Label Mean Std Dev1020 2 SBP

DBPSystolic Blood PressureDiastolic Blood Pressure

160.000000080.0000000

00

1021 2 SBPDBP


148.000000085.0000000

4.242640721.2132034

1022 2 SBPDBP


170.000000095.0000000

35.355339114.1421356

1023 2 SBPDBP


146.500000084.5000000

16.263456013.4350288

1024 2 SBPDBP


186.000000080.0000000

00

1025 2 SBPDBP


146.000000082.0000000

00

1026 2 SBPDBP


160.000000085.0000000

7.07106780

1027 2 SBPDBP


134.000000081.0000000

01.4142136

1028 2 SBPDBP


169.000000084.5000000

12.72792212.1213203

1029 1 SBPDBP


180.000000075.0000000

.

.

Proc Tabulate Resources

SAS Documentation Proc Tabulate Introductionhttp://www.sascommunity.org/mwiki/images/4/49/Proc_Tabulate_how_to_-_version_2.0.pdf

Using Style Elements in the REPORT and TABULATE Procedures

http://support.sas.com/resources/papers/stylesinprocs.pdf

Reporting Data

Plan the layout– Summary statistics, analysis output or data

listings?– Content of columns/rows?– Order of columns/rows?– Font

Use a report writing tool

QUESTIONS?

sas proc report proc tabulate

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