Acutally, ?mcnemar.test
since it is paired data. Best, Wolfgang > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of Bert Gunter > Sent: Wednesday, September 07, 2011 15:34 > To: John Sorkin > Cc: r-help@r-project.org > Subject: Re: [R] suggestion for proportions > > Please! ... ?prop.test > > not t tests. > > -- Bert > > -- > > On Wed, Sep 7, 2011 at 4:21 AM, John Sorkin <jsor...@grecc.umaryland.edu> > wrote: > > >From you description, you should not used a paired Student's t-test. > One uses a paired test when pairs of observations come from the same > experimental unit (and thus are correlated). You describe a study where > each experimental unit is tested once and where there are two independent > groups of experimental units. Look at t.test (i.e. enter ?t.test). > > John > > > >>>> array chip <arrayprof...@yahoo.com> 9/7/2011 4:11 AM >>> > > Hi, I am wondering if anyone can suggest how to test the equality of 2 > proportions. The caveat here is that the 2 proportions were calculated > from the same number of samples using 2 different tests. So essentially we > are comparing 2 accuracy rates from same, say 100, samples. I think this > is like a paired test, but don't know if really we need to consider the > "paired" nature of the data, and if yes then how? Or just use prop.test() > to compare 2 proportions? > > > > Any suggestion would be greatly appreciated. > > > > Thanks > > > > John ______________________________________________ R-help@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.
