OUTPUT Statement 
The OUTPUT statement creates a SAS data set that contains statistics computed by PROC FREQ. You specify which statistics to store in the output data set with the OUTPUT statement options. The output data set contains one observation for each twoway table or stratum, and one observation for summary statistics across all strata. For more information about the contents of the output data set, see the section Contents of the OUTPUT Statement Output Data Set.
Only one OUTPUT statement is allowed for each execution of PROC FREQ. You must specify a TABLES statement with the OUTPUT statement. If you use multiple TABLES statements, the contents of the OUTPUT data set correspond to the last TABLES statement. If you use multiple table requests in a TABLES statement, the contents of the OUTPUT data set correspond to the last table request.
Note that you can use the Output Delivery System (ODS) to create a SAS data set from any piece of PROC FREQ output. For more information, see the section ODS Table Names.
Also note that the output data set created by the OUTPUT statement is not the same as the output data set created by the OUT= option in the TABLES statement. The OUTPUT statement creates a data set that contains statistics (such as the Pearson chisquare and its pvalue), and the OUT= option in the TABLES statement creates a data set that contains frequency table counts and percentages. See the section Output Data Sets for more information.
You can specify the following options in the OUTPUT statement:
names the output data set. If you omit the OUT= option, the data set is named DATAn, where n is the smallest integer that makes the name unique.
specify the statistics you want in the output data set. Table 36.7 lists the available options, together with the TABLES statement options needed to produce the statistics. You can output groups of statistics by using group options identical to those available in the TABLES statement, which include the AGREE, ALL, CHISQ, CMH, and MEASURES options. Or you can request statistics individually.
When you specify an option in the OUTPUT statement, the output data set contains all statistics from that analysis—the estimate or test statistic plus any associated standard error, confidence limits, pvalues, and degrees of freedom. See the section Contents of the OUTPUT Statement Output Data Set for details.
If you want to store a statistic in the output data set, you must also request computation of that statistic with the appropriate TABLES or EXACT statement option. For example, you cannot specify the option PCHI (Pearson chisquare) in the OUTPUT statement without also specifying a TABLES or EXACT statement option to compute the Pearson chisquare test. The TABLES statement option ALL or CHISQ requests the Pearson chisquare test. If you have only one TABLES statement, the EXACT statement option CHISQ or PCHI also requests the Pearson chisquare test. Table 36.7 lists the TABLES statement options required to produce the OUTPUT data set statistics. Note that the ALL option in the TABLES statement invokes the CHISQ, MEASURES, and CMH options.
Option 
Output Data Set Statistics 
Required TABLES Statement Option 

AGREE 
McNemar’s test, Bowker’s test, simple and 

weighted kappas; for multiple strata, overall 

simple and weighted kappas, tests for equal 

kappas, and Cochran’s 

AJCHI 
Continuityadjusted chisquare ( tables) 

ALL 
CHISQ, MEASURES, and CMH statistics; N 

BDCHI 
BreslowDay test ( tables) 

BINOMIAL 
Binomial statistics for oneway tables 

CHISQ 
For oneway tables, goodnessoffit test; 

for twoway tables, Pearson, likelihoodratio, 

continuityadjusted, and MantelHaenszel 

chisquares, Fisher’s exact test ( tables), 

phi and contingency coefficients, Cramer’s 

CMH 
CochranMantelHaenszel (CMH) correlation, 

row mean scores (ANOVA), and general 

association statistics; for tables, logit and 

MantelHaenszel adjusted odds ratios and 

relative risks, BreslowDay test 

CMH1 
CMH output, except row mean scores (ANOVA) 

and general association statistics 

CMH2 
CMH output, except general association statistic 

CMHCOR 
CMH correlation statistic 

CMHGA 
CMH general association statistic 

CMHRMS 
CMH row mean scores (ANOVA) statistic 

COCHQ 
Cochran’s ( tables) 

CONTGY 
Contingency coefficient 

CRAMV 
Cramer’s 

EQKAP 
Test for equal simple kappas 

EQOR  ZELEN 
Zelen’s test for equal odds ratios ( tables) 
CMH and EXACT EQOR 
EQWKP 
Test for equal weighted kappas 

FISHER 
Fisher’s exact test 

GAILSIMON 
GailSimon test 

GAMMA 
Gamma 

JT 
JonckheereTerpstra test 

KAPPA 
Simple kappa coefficient 

KENTB 
Kendall’s tau 

LAMCR 
Lambda asymmetric 

LAMDAS 
Lambda symmetric 

LAMRC 
Lambda asymmetric 

LGOR 
Adjusted logit odds ratio ( tables) 

LGRRC1 
Adjusted column 1 logit relative risk 

LGRRC2 
Adjusted column 2 logit relative risk 

LRCHI 
Likelihoodratio chisquare 

MCNEM 
McNemar’s test ( tables) 

MEASURES 
Gamma, Kendall’s tau, Stuart’s tau, 

Somers’ and , Pearson and 

Spearman correlations, lambda asymmetric 

and , lambda symmetric, 

uncertainty coefficients and , 

symmetric uncertainty coefficient; 

odds ratio and relative risks ( tables) 

MHCHI 
MantelHaenszel chisquare 

MHOR  COMOR 
Adjusted MantelHaenszel odds ratio 

( tables) 

MHRRC1 
Adjusted column 1 MantelHaenszel relative risk 

MHRRC2 
Adjusted column 2 MantelHaenszel relative risk 

N 
Number of nonmissing observations 

NMISS 
Number of missing observations 

OR 
Odds ratio ( tables) 

PCHI 
Chisquare goodnessoffit test for oneway tables, 

Pearson chisquare for twoway tables 

PCORR 
Pearson correlation coefficient 

PHI 
Phi coefficient 

PLCORR 
Polychoric correlation coefficient 

RDIF1 
Column 1 risk difference (row 1  row 2) 

RDIF2 
Column 2 risk difference (row 1  row 2) 

RELRISK 
Odds ratio and relative risks ( tables) 

RISKDIFF 
Risks and risk differences ( tables) 

RISKDIFF1 
Column 1 risks and risk difference 

RISKDIFF2 
Column 2 risks and risk difference 

RRC1 
Column 1 relative risk 

RRC2 
Column 2 relative risk 

RSK1 
Column 1 risk, overall 

RSK11 
Column 1 risk, for row 1 

RSK12 
Column 2 risk, for row 1 

RSK2 
Column 2 risk, overall 

RSK21 
Column 1 risk, for row 2 

RSK22 
Column 2 risk, for row 2 

SCORR 
Spearman correlation coefficient 

SMDCR 
Somers’ 

SMDRC 
Somers’ 

STUTC 
Stuart’s tau 

TREND 
CochranArmitage test for trend 

TSYMM 
Bowker’s test of symmetry 

U 
Symmetric uncertainty coefficient 

UCR 
Uncertainty coefficient 

URC 
Uncertainty coefficient 

WTKAP 
Weighted kappa coefficient 