Message-ID: <D085C70E-97ED-4B49-A7EF-D8EFFAF36F84@unm.edu>
Date: 2011-12-19T21:24:32Z
From: Michael Fuller
Subject: On Corrections for Chi-Sq Goodness of Fit Test
TOPIC
My question regards the philosophy behind how R implements corrections to chi-square statistical tests. At least in recent versions (I'm using 2.13.1 (2011-07-08) on OSX 10.6.8.), the chisq.test function applies the Yates continuity correction for 2 by 2 contingency tables. But when used as a goodness of fit test (GoF, aka likelihood ratio test), chisq.test does not appear to implement any corrections for widely recognized problems, such as small sample size, non-uniform expected frequencies, and one D.F.