[R] R equivalent of SAS Cochran-Mantel-Haenszel tests?
David Freedman
3.14david at gmail.com
Mon Feb 9 18:58:09 CET 2009
How about 'cmh_test' in the coin package?
>From the PDF: The null hypothesis of the independence of y and x is tested,
block defines an optional factor for stratification. chisq_test implements
Pearson’s chi-squared test, cmh_test the Cochran-Mantel-Haenzsel test and
lbl_test the linear-by-linear association test for ordered data.
David Freedman
Michael Friendly wrote:
>
> In SAS, for a two-way (or 3-way, stratified) table, the CMH option in
> SAS PROC FREQ gives
> 3 tests that take ordinality of the factors into account, for both
> variables, just the column variable
> or neither. Is there an equivalent in R?
> The mantelhaen.test in stats gives something quite different (a test of
> conditional independence for
> *nominal* factors in a 3-way table).
>
> e.g. I'd like to reproduce:
> *-- CMH tests;
> proc freq data=sexfun order=data;
> weight count;
> tables husband * wife / cmh chisq nocol norow;
> run;
>
> The FREQ Procedure
> Summary Statistics for Husband by Wife
> Cochran-Mantel-Haenszel Statistics (Based on Table Scores)
>
> Statistic Alternative Hypothesis DF Value Prob
>
> 1 Nonzero Correlation 1 10.0142 0.0016
> 2 Row Mean Scores Differ 3 12.5681 0.0057
> 3 General Association 9 16.7689 0.0525
>
> --
> Michael Friendly Email: friendly AT yorku DOT ca
> Professor, Psychology Dept.
> York University Voice: 416 736-5115 x66249 Fax: 416 736-5814
> 4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html
> Toronto, ONT M3J 1P3 CANADA
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
--
View this message in context: http://www.nabble.com/R-equivalent-of-SAS-Cochran-Mantel-Haenszel-tests--tp21914012p21918306.html
Sent from the R help mailing list archive at Nabble.com.
More information about the R-help
mailing list