The FREQ Procedure

OUTPUT Statement

  • OUTPUT <OUT=SAS-data-set> output-options;

The OUTPUT statement creates a SAS data set that stores statistics that PROC FREQ computes. Table 7 lists the statistics that are available in the output data set. You can identify which statistics to include by specifying output-options.

When you specify an OUTPUT statement, you must also specify a TABLES statement, which defines tables and requests statistical analyses. The OUTPUT statement stores statistics for a single table request. 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 single TABLES statement, the contents of the output data set correspond to the last table request. Only one OUTPUT statement can be specified in a single invocation of PROC FREQ.

For a one-way or two-way table, the output data set contains one observation that stores statistics for the table. For a multiway table, the output data set contains an observation for each two-way subtable (stratum) of the multiway table. If you request summary statistics for the multiway table, the output data set also contains an observation that includes the across-strata summary statistics. If you specify a BY statement, the output data set contains an observation or set of observations for each BY group. For more information, see the section Contents of the OUTPUT Statement Output Data Set.

This output data set (which the OUTPUT statement produces) is not the same as the output data set that the OUT= option in the TABLES statement produces. The OUTPUT statement creates a data set that contains statistics (such as the Pearson chi-square and its p-value), while the OUT= option in the TABLES statement creates a data set that contains frequency counts and percentages. For more information, see the section Output Data Sets.

You can also use the Output Delivery System (ODS) to store statistics that PROC FREQ computes. ODS can create a SAS data set from any table that PROC FREQ produces. For more information, see the section ODS Table Names and Chapter 23, Using the Output Delivery System.

You can specify the following options in the OUTPUT statement:

OUT=SAS-data-set

specifies the name of the output data set. When you use an OUTPUT statement but do not use the OUT= option, PROC FREQ creates a data set and names it by using the DATAn convention.

output-options

specify the statistics to include in the output data set. Table 7 lists the output-options that are available in the OUTPUT statement, together with the TABLES statement options that are required to produce the statistics. Descriptions of the output-options follow the table in alphabetical order.

You can specify output-options to request individual statistics, or you can request groups of statistics by using output-options that are identical to the group options in the TABLES statement (for example, the CHISQ, MEASURES, CMH, AGREE, and ALL options).

When you specify an output-option, the output data set includes statistics from the corresponding analysis. In addition to the estimate or test statistic, the output data set includes associated values such as standard errors, confidence limits, p-values, and degrees of freedom. For more information, see the section Contents of the OUTPUT Statement Output Data Set.

To store a statistic in the output data set, you must also request computation of that statistic with the appropriate TABLES, EXACT, or TEST statement option. For example, the PCHI output-option includes the Pearson chi-square in the output data set. You must also request computation of the Pearson chi-square by specifying the CHISQ option in the TABLES statement. Or, if you use only one TABLES statement, you can request computation of the Pearson chi-square by specifying the PCHI or CHISQ option in the EXACT statement. Table 7 lists the TABLES statement options that are required to produce the OUTPUT data set statistics.

Table 7: OUTPUT Statement Output Options

Output Option Output Data Set Statistics Required TABLES Statement Option
AGREE McNemar’s test (2 times 2 tables), Bowker’s test, AGREE
simple and weighted kappas; for multiple strata,
overall simple and weighted kappas, tests for equal
kappas, and Cochran’s Q (h times 2 times 2 tables)
AJCHI Continuity-adjusted chi-square (2 times 2 tables) CHISQ
ALL CHISQ, MEASURES, and CMH statistics; ALL
N (number of observations)
BDCHI Breslow-Day test (h times 2 times 2 tables) CMH, CMH1, or CMH2
BINOMIAL | BIN Binomial statistics (one-way tables) BINOMIAL
CHISQ For one-way tables, goodness-of-fit test; CHISQ
for two-way tables, Pearson, likelihood ratio,
continuity-adjusted, and Mantel-Haenszel
chi-squares, Fisher’s exact test (2 times 2 tables),
phi and contingency coefficients, Cramér’s V
CMH Cochran-Mantel-Haenszel (CMH) correlation, CMH
row mean scores (ANOVA), and general
association statistics; for 2 times 2 tables, logit
and Mantel-Haenszel common odds ratios
and relative risks, Breslow-Day test
CMH1 CMH statistics, except row mean scores (ANOVA) CMH or CMH1
and general association statistics
CMH2 CMH statistics, except general association statistic CMH or CMH2
CMHCOR CMH correlation statistic CMH, CMH1, or CMH2
CMHGA CMH general association statistic CMH
CMHRMS CMH row mean scores (ANOVA) statistic CMH or CMH2
COCHQ Cochran’s Q (h times 2 times 2 tables) AGREE
CONTGY Contingency coefficient CHISQ
CRAMV Cramér’s V CHISQ
EQKAP Test for equal simple kappas AGREE
EQOR | ZELEN Zelen’s test for equal odds ratios (h times 2 times 2 tables) CMH and EXACT EQOR
EQWKP Test for equal weighted kappas AGREE
FISHER Fisher’s exact test CHISQ or FISHER [a]
GAILSIMON | GS Gail-Simon test GAILSIMON
GAMMA Gamma MEASURES
JT Jonckheere-Terpstra test JT
KAPPA Simple kappa coefficient AGREE
KENTB | TAUB Kendall’s tau-b MEASURES
LAMCR Lambda asymmetric left-parenthesis upper C vertical-bar upper R right-parenthesis MEASURES
LAMDAS Lambda symmetric MEASURES
LAMRC Lambda asymmetric left-parenthesis upper R vertical-bar upper C right-parenthesis MEASURES
LGOR Logit common odds ratio CMH, CMH1, or CMH2
LGRRC1 Logit common relative risk, column 1 CMH, CMH1, or CMH2
LGRRC2 Logit common relative risk, column 2 CMH, CMH1, or CMH2
LRCHI Likelihood ratio chi-square CHISQ
MCNEM McNemar’s test (2 times 2 tables) AGREE
MEASURES Gamma, Kendall’s tau-b, Stuart’s tau-c, MEASURES
Somers’ upper D left-parenthesis upper C vertical-bar upper R right-parenthesis and upper D left-parenthesis upper R vertical-bar upper C right-parenthesis, Pearson and
Spearman correlations, lambda asymmetric
left-parenthesis upper C vertical-bar upper R right-parenthesis and left-parenthesis upper R vertical-bar upper C right-parenthesis, lambda symmetric,
uncertainty coefficients left-parenthesis upper C vertical-bar upper R right-parenthesis and left-parenthesis upper R vertical-bar upper C right-parenthesis,
symmetric uncertainty coefficient;
odds ratio and relative risks (2 times 2 tables)
MHCHI Mantel-Haenszel chi-square CHISQ
MHOR | COMOR Mantel-Haenszel common odds ratio CMH, CMH1, or CMH2
MHRRC1 Mantel-Haenszel common relative risk, column 1 CMH, CMH1, or CMH2
MHRRC2 Mantel-Haenszel common relative risk, column 2 CMH, CMH1, or CMH2
N Number of nonmissing observations
NMISS Number of missing observations
OR | ODDSRATIO Odds ratio (2 times 2 tables) MEASURES, OR,
or RELRISK
PCHI Chi-square goodness-of-fit test (one-way tables), CHISQ
Pearson chi-square (two-way tables)
PCORR Pearson correlation coefficient MEASURES
PHI Phi coefficient CHISQ
PLCORR Polychoric correlation coefficient PLCORR
RDIF1 Column 1 risk difference (row 1 – row 2) RISKDIFF
RDIF2 Column 2 risk difference (row 1 – row 2) RISKDIFF
RELRISK Odds ratio and relative risks (2 times 2 tables) MEASURES or RELRISK
RISKDIFF Risks and risk differences (2 times 2 tables) RISKDIFF
RISKDIFF1 Risks and risk difference, column 1 RISKDIFF
RISKDIFF2 Risks and risk difference, column 2 RISKDIFF
RRC1 | RELRISK1 Relative risk, column 1 MEASURES or RELRISK
RRC2 | RELRISK2 Relative risk, column 2 MEASURES or RELRISK
RSK1 | RISK1 Column 1 overall risk RISKDIFF
RSK11 | RISK11 Column 1 risk for row 1 RISKDIFF
RSK12 | RISK12 Column 2 risk for row 1 RISKDIFF
RSK2 | RISK2 Column 2 overall risk RISKDIFF
RSK21 | RISK21 Column 1 risk for row 2 RISKDIFF
RSK22 | RISK22 Column 2 risk for row 2 RISKDIFF
SCORR Spearman correlation coefficient MEASURES
SMDCR Somers’ upper D left-parenthesis upper C vertical-bar upper R right-parenthesis MEASURES
SMDRC Somers’ upper D left-parenthesis upper R vertical-bar upper C right-parenthesis MEASURES
STUTC | TAUC Stuart’s tau-c MEASURES
TREND Cochran-Armitage test for trend TREND
TSYMM | BOWKER Bowker’s symmetry test AGREE
U Symmetric uncertainty coefficient MEASURES
UCR Uncertainty coefficient left-parenthesis upper C vertical-bar upper R right-parenthesis MEASURES
URC Uncertainty coefficient left-parenthesis upper R vertical-bar upper C right-parenthesis MEASURES
WTKAPPA | WTKAP Weighted kappa coefficient AGREE

[a] CHISQ computes Fisher’s exact test for 2 times 2 tables. Use the FISHER option to compute Fisher’s exact test for general r times c tables.


You can specify the following output-options:

AGREE

includes the following tests and measures of agreement in the output data set: McNemar’s test (for 2 times 2 tables), Bowker’s symmetry test, the simple kappa coefficient, and the weighted kappa coefficient. For multiway tables, the AGREE option also includes the following statistics in the output data set: overall simple and weighted kappa coefficients, tests for equal simple and weighted kappa coefficients, and Cochran’s Q test.

The AGREE option in the TABLES statement requests computation of tests and measures of agreement. For more information, see the section Tests and Measures of Agreement.

AGREE statistics are computed only for square tables, where the number of rows equals the number of columns. PROC FREQ provides Bowker’s symmetry test and weighted kappa coefficients only for tables larger than 2 times 2. (For 2 times 2 tables, Bowker’s test is identical to McNemar’s test, and the weighted kappa coefficient equals the simple kappa coefficient.) Cochran’s Q is available for multiway 2 times 2 tables.

AJCHI

includes the continuity-adjusted chi-square in the output data set. The continuity-adjusted chi-square is available for 2 times 2 tables and is provided by the CHISQ option in the TABLES statement. For more information, see the section Continuity-Adjusted Chi-Square Test.

ALL

includes all statistics that are requested by the CHISQ, MEASURES, and CMH output-options in the output data set. ALL also includes the number of nonmissing observations (total frequency), which can be requested separately by the N output-option.

BDCHI

includes the Breslow-Day test in the output data set. The Breslow-Day test for homogeneity of odds ratios is computed for multiway 2 times 2 tables and is provided by the CMH, CMH1, and CMH2 options in the TABLES statement. For more information, see the section Breslow-Day Test for Homogeneity of the Odds Ratios.

BINOMIAL
BIN

includes the following binomial statistics for one-way tables: number of observations (total frequency), number of successes (frequency of designated level), binomial proportion estimate, confidence limits, and tests. The BINOMIAL option in the TABLES statement requests computation of binomial statistics, which are available for one-way tables. For more information, see the section Binomial Proportion.

CHISQ

includes the following chi-square tests and measures in the output data set for two-way tables: Pearson chi-square, likelihood ratio chi-square, Mantel-Haenszel chi-square, phi coefficient, contingency coefficient, and Cramér’s V. For 2 times 2 tables, CHISQ also includes Fisher’s exact test and the continuity-adjusted chi-square in the output data set. For more information, see the section Chi-Square Tests and Statistics. For one-way tables, CHISQ includes the chi-square goodness-of-fit test in the output data set. For more information, see the section Chi-Square Test for One-Way Tables. The CHISQ option in the TABLES statement requests computation of these statistics.

If you specify the CHISQ(WARN=OUTPUT) option in the TABLES statement, the CHISQ option also includes the variable WARN_PCHI in the output data set. This variable indicates the validity warning for the asymptotic Pearson chi-square test.

CMH

includes the following Cochran-Mantel-Haenszel statistics in the output data set: correlation, row mean scores (ANOVA), and general association. For 2 times 2 tables, the CMH option also includes the Mantel-Haenszel and logit estimates of the common odds ratio and relative risks. For multiway (stratified) 2 times 2 tables, the CMH option includes the Breslow-Day test for homogeneity of odds ratios. The CMH option in the TABLES statement requests computation of these statistics. For more information, see the section Cochran-Mantel-Haenszel Statistics.

If you specify the CMH(MANTELFLEISS) option in the TABLES statement, the CMH option includes the Mantel-Fleiss analysis in the output data set. The variables MF_CMH and WARN_CMH contain the Mantel-Fleiss criterion and the warning indicator, respectively.

CMH1

includes the CMH statistics in the output data set, with the exception of the row mean scores (ANOVA) statistic and the general association statistic. The CMH1 option in the TABLES statement requests computation of these statistics. For more information, see the section Cochran-Mantel-Haenszel Statistics.

CMH2

includes the CMH statistics in the output data set, with the exception of the general association statistic. The CMH2 option in the TABLES statement requests computation of these statistics. For more information, see the section Cochran-Mantel-Haenszel Statistics.

CMHCOR

includes the Cochran-Mantel-Haenszel correlation statistic in the output data set. The CMH option in the TABLES statement requests computation of this statistic. For more information, see the section Correlation Statistic.

CMHGA

includes the Cochran-Mantel-Haenszel general association statistic in the output data set. The CMH option in the TABLES statement requests computation of this statistic. For more information, see the section General Association Statistic.

CMHRMS

includes the Cochran-Mantel-Haenszel row mean scores (ANOVA) statistic in the output data set. The CMH option in the TABLES statement requests computation of this statistic. For more information, see the section ANOVA (Row Mean Scores) Statistic.

COCHQ

includes Cochran’s Q test in the output data set. The AGREE option in the TABLES statement requests computation of this test, which is available for multiway 2 times 2 tables. For more information, see the section Cochran’s Q Test.

CONTGY

includes the contingency coefficient in the output data set. The CHISQ option in the TABLES statement requests computation of the contingency coefficient. For more information, see the section Contingency Coefficient.

CRAMV

includes Cramér’s V in the output data set. The CHISQ option in the TABLES statement requests computation of Cramér’s V. For more information, see the section Cramér’s V.

EQKAP

includes the test for equal simple kappa coefficients in the output data set. The AGREE option in the TABLES statement requests computation of this test, which is available for multiway, square (h times r times r) tables. For more information, see the section Tests for Equal Kappa Coefficients.

EQOR
ZELEN

includes Zelen’s exact test for equal odds ratios in the output data set. The EQOR option in the EXACT statement requests computation of this test, which is available for multiway 2 times 2 tables. For more information, see the section Zelen’s Exact Test for Equal Odds Ratios.

EQWKP

includes the test for equal weighted kappa coefficients in the output data set. The AGREE option in the TABLES statement requests computation of this test. The test for equal weighted kappas is available for multiway, square (h times r times r) tables where r > 2. For more information, see the section Tests for Equal Kappa Coefficients.

FISHER

includes Fisher’s exact test in the output data set. For 2 times 2 tables, the CHISQ option in the TABLES statement provides Fisher’s exact test. For tables larger than 2 times 2, the FISHER option in the EXACT statement provides Fisher’s exact test. For more information, see the section Fisher’s Exact Test.

GAILSIMON
GS

includes the Gail-Simon test for qualitative interaction in the output data set. The GAILSIMON option in the TABLES statement requests computation of this test. For more information, see the section Gail-Simon Test for Qualitative Interactions.

GAMMA

includes the gamma statistic in the output data set. The MEASURES option in the TABLES statement requests computation of the gamma statistic. For more information, see the section Gamma.

JT

includes the Jonckheere-Terpstra test in the output data set. The JT option in the TABLES statement requests the Jonckheere-Terpstra test. For more information, see the section Jonckheere-Terpstra Test.

KAPPA

includes the simple kappa coefficient in the output data set. The AGREE option in the TABLES statement requests computation of kappa, which is available for square tables (where the number of rows equals the number of columns). For multiway square tables, the KAPPA option also includes the overall kappa coefficient in the output data set. For more information, see the sections Simple Kappa Coefficient and Overall Kappa Coefficient.

KENTB
TAUB

includes Kendall’s tau-b in the output data set. The MEASURES option in the TABLES statement requests computation of Kendall’s tau-b. For more information, see the section Kendall’s Tau-b.

LAMCR

includes the asymmetric lambda lamda left-parenthesis upper C vertical-bar upper R right-parenthesis in the output data set. The MEASURES option in the TABLES statement requests computation of lambda. For more information, see the section Lambda (Asymmetric).

LAMDAS

includes the symmetric lambda in the output data set. The MEASURES option in the TABLES statement requests computation of lambda. For more information, see the section Lambda (Symmetric).

LAMRC

includes the asymmetric lambda lamda left-parenthesis upper R vertical-bar upper C right-parenthesis in the output data set. The MEASURES option in the TABLES statement requests computation of lambda. For more information, see the section Lambda (Asymmetric).

LGOR

includes the logit estimate of the common odds ratio in the output data set. The CMH option in the TABLES statement requests computation of this statistic, which is available for 2 times 2 tables. For more information, see the section Adjusted Odds Ratio and Relative Risk Estimates.

LGRRC1

includes the logit estimate of the common relative risk (column 1) in the output data set. The CMH option in the TABLES statement requests computation of this statistic, which is available for 2 times 2 tables. For more information, see the section Adjusted Odds Ratio and Relative Risk Estimates.

LGRRC2

includes the logit estimate of the common relative risk (column 2) in the output data set. The CMH option in the TABLES statement requests computation of this statistic, which is available for 2 times 2 tables. For more information, see the section Adjusted Odds Ratio and Relative Risk Estimates.

LRCHI

includes the likelihood ratio chi-square in the output data set. The CHISQ option in the TABLES statement requests computation of the likelihood ratio chi-square. For more information, see the section Likelihood Ratio Chi-Square Test.

MCNEM

includes McNemar’s test (for 2 times 2 tables) in the output data set. The AGREE option in the TABLES statement requests computation of McNemar’s test. For more information, see the section McNemar’s Test.

MEASURES

includes the following measures of association in the output data set: gamma, Kendall’s tau-b, Stuart’s tau-c, Somers’ upper D left-parenthesis upper C vertical-bar upper R right-parenthesis, Somers’ upper D left-parenthesis upper R vertical-bar upper C right-parenthesis, Pearson and Spearman correlation coefficients, lambda (symmetric and asymmetric), and uncertainty coefficients (symmetric and asymmetric). For 2 times 2 tables, the MEASURES option also includes the odds ratio, column 1 relative risk, and column 2 relative risk. The MEASURES option in the TABLES statement requests computation of these statistics. For more information, see the section Measures of Association.

MHCHI

includes the Mantel-Haenszel chi-square in the output data set. The CHISQ option in the TABLES statement requests computation of the Mantel-Haenszel chi-square. For more information, see the section Mantel-Haenszel Chi-Square Test.

MHOR
COMOR

includes the Mantel-Haenszel estimate of the common odds ratio in the output data set. The CMH option in the TABLES statement requests computation of this statistic, which is available for 2 times 2 tables. For more information, see the section Adjusted Odds Ratio and Relative Risk Estimates.

MHRRC1

includes the Mantel-Haenszel estimate of the common relative risk (column 1) in the output data set. The CMH option in the TABLES statement requests computation of this statistic, which is available for 2 times 2 tables. For more information, see the section Adjusted Odds Ratio and Relative Risk Estimates.

MHRRC2

includes the Mantel-Haenszel estimate of the common relative risk (column 2) in the output data set. The CMH option in the TABLES statement requests computation of this statistic, which is available for 2 times 2 tables. For more information, see the section Adjusted Odds Ratio and Relative Risk Estimates.

N

includes the number of nonmissing observations (total frequency) for the table request.

NMISS

includes the number (frequency) of missing observations for the table request. For more information, see the section Missing Values.

OR
ODDSRATIO
RROR

includes the odds ratio (for 2 times 2 tables) in the output data set. The MEASURES, OR, and RELRISK options in the TABLES statement request this statistic. For more information, see the section Odds Ratio.

PCHI

includes the Pearson chi-square in the output data set for two-way tables. For more information, see the section Pearson Chi-Square Test for Two-Way Tables. For one-way tables, the PCHI option includes the chi-square goodness-of-fit test in the output data set. For more information, see the section Chi-Square Test for One-Way Tables. The CHISQ option in the TABLES statement requests computation of these statistics.

If you specify the CHISQ(WARN=OUTPUT) option in the TABLES statement, the PCHI option also includes the variable WARN_PCHI in the output data set. This variable indicates the validity warning for the asymptotic Pearson chi-square test.

PCORR

includes the Pearson correlation coefficient in the output data set. The MEASURES option in the TABLES statement requests computation of the Pearson correlation. For more information, see the section Pearson Correlation Coefficient.

PHI

includes the phi coefficient in the output data set. The CHISQ option in the TABLES statement requests computation of the phi coefficient. For more information, see the section Phi Coefficient.

PLCORR

includes the polychoric correlation coefficient in the output data set. For 2 times 2 tables, this statistic is known as the tetrachoric correlation coefficient. The PLCORR option in the TABLES statement requests computation of the polychoric correlation. For more information, see the section Polychoric Correlation.

RDIF1

includes the column 1 risk difference (row 1 – row 2) in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences, which are available for 2 times 2 tables. For more information, see the section Risks and Risk Differences.

RDIF2

includes the column 2 risk difference (row 1 – row 2) in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences, which are available for 2 times 2 tables. For more information, see the section Risks and Risk Differences.

RELRISK

includes the column 1 and column 2 relative risks (for 2 times 2 tables) in the output data set. The MEASURES and RELRISK options in the TABLES statement request these statistics. For more information, see the section Relative Risks.

RISKDIFF

includes risks (binomial proportions) and risk differences for 2 times 2 tables in the output data set. These statistics include the row 1 risk, row 2 risk, total (overall) risk, and risk difference (row 1 – row 2) for column 1 and column 2. The RISKDIFF option in the TABLES statement requests computation of these statistics. For more information, see the section Risks and Risk Differences.

RISKDIFF1

includes column 1 risks (binomial proportions) and risk differences for 2 times 2 tables in the output data set. These statistics include the row 1 risk, row 2 risk, total (overall) risk, and risk difference (row 1 – row 2). The RISKDIFF option in the TABLES statement requests computation of these statistics. For more information, see the section Risks and Risk Differences.

RISKDIFF2

includes column 2 risks (binomial proportions) and risk differences for 2 times 2 tables in the output data set. These statistics include the row 1 risk, row 2 risk, total (overall) risk, and risk difference (row 1 – row 2). The RISKDIFF option in the TABLES statement requests computation of these statistics. For more information, see the section Risks and Risk Differences.

RRC1
RELRISK1

includes the column 1 relative risk in the output data set. The MEASURES and RELRISK options in the TABLES statement request relative risks, which are available for 2 times 2 tables. For more information, see the section Odds Ratio and Relative Risks.

RRC2
RELRISK2

includes the column 2 relative risk in the output data set. The MEASURES and RELRISK options in the TABLES statement request relative risks, which are available for 2 times 2 tables. For more information, see the section Odds Ratio and Relative Risks.

RSK1
RISK1

includes the overall column 1 risk in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences, which are available for 2 times 2 tables. For more information, see the section Risks and Risk Differences.

RSK11
RISK11

includes the column 1 risk for row 1 in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences, which are available for 2 times 2 tables. For more information, see the section Risks and Risk Differences.

RSK12
RISK12

includes the column 2 risk for row 1 in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences, which are available for 2 times 2 tables. For more information, see the section Risks and Risk Differences.

RSK2
RISK2

includes the overall column 2 risk in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences. For more information, see the section Risks and Risk Differences.

RSK21
RISK21

includes the column 1 risk for row 2 in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences, which are available for 2 times 2 tables. For more information, see the section Risks and Risk Differences.

RSK22
RISK22

includes the column 2 risk for row 2 in the output data set. The RISKDIFF option in the TABLES statement requests computation of risks and risk differences, which are available for 2 times 2 tables. For more information, see the section Risks and Risk Differences.

SCORR

includes the Spearman correlation coefficient in the output data set. The MEASURES option in the TABLES statement requests computation of the Spearman correlation. For more information, see the section Spearman Rank Correlation Coefficient.

SMDCR

includes Somers’ upper D left-parenthesis upper C vertical-bar upper R right-parenthesis in the output data set. The MEASURES option in the TABLES statement requests computation of Somers’ D. For more information, see the section Somers’ D.

SMDRC

includes Somers’ upper D left-parenthesis upper R vertical-bar upper C right-parenthesis in the output data set. The MEASURES option in the TABLES statement requests computation of Somers’ D. For more information, see the section Somers’ D.

STUTC
TAUC

includes Stuart’s tau-c in the output data set. The MEASURES option in the TABLES statement requests computation of tau-c. For more information, see the section Stuart’s Tau-c.

TREND

includes the Cochran-Armitage test for trend in the output data set. The TREND option in the TABLES statement requests computation of the trend test. This test is available for tables of dimension 2 times upper C or upper R times 2. For more information, see the section Cochran-Armitage Test for Trend.

TSYMM
BOWKER

includes Bowker’s symmetry test in the output data set. The AGREE option in the TABLES statement requests computation of Bowker’s test. For more information, see the section Bowker’s Symmetry Test.

U

includes the uncertainty coefficient (symmetric) in the output data set. The MEASURES option in the TABLES statement requests computation of the uncertainty coefficient. For more information, see the section Uncertainty Coefficient (Symmetric).

UCR

includes the asymmetric uncertainty coefficient upper U left-parenthesis upper C vertical-bar upper R right-parenthesis in the output data set. The MEASURES option in the TABLES statement requests computation of the uncertainty coefficient. For more information, see the section Uncertainty Coefficients (Asymmetric).

URC

includes the asymmetric uncertainty coefficient upper U left-parenthesis upper R vertical-bar upper C right-parenthesis in the output data set. The MEASURES option in the TABLES statement requests computation of the uncertainty coefficient. For more information, see the section Uncertainty Coefficients (Asymmetric).

WTKAPPA
WTKAP

includes the weighted kappa coefficient in the output data set. The AGREE option in the TABLES statement requests computation of weighted kappa, which is available for square tables larger than 2 times 2. For multiway tables, the WTKAPPA option also includes the overall weighted kappa coefficient in the output data set. For more information, see the sections Weighted Kappa Coefficient and Overall Kappa Coefficient.

Last updated: December 09, 2022