On 10-Jul-08 20:43:12, DaveFrisch wrote: > > Okay, so I'm fairly retarded, and asked a question about finding > the T-Value in the Fisher Exact method. I suppose what I'm truly > after can best be explained by the Biddle Consulting site that has > a program setup to deal with this kind of thing. Unfortunately, > it is not currently functioning, and has not been for some time. > As a result, I'm trying to figure out how to do this on my own.
It is working now. > What I'm after is the "Probability as Std. Deviations (SumP)" > which can be seen here; > http://www.biddle.com/adverseimpacttoolkit/SelectionRateComparison.aspx > > I appreciate the time everyone took in getting me straightened out on > my previous question. Hopefully I've provided a somewhat more > meaningful scenario here. >From the explanation in Note [4] of that web-page, it seems that what you are after corresponds to: fisher.test(matrix(c(11,5,7,12),ncol=2)) # Fisher's Exact Test for Count Data # data: matrix(c(11, 5, 7, 12), ncol = 2) # p-value = 0.09222 # alternative hypothesis: true odds ratio is not equal to 1 # 95 percent confidence interval: # 0.7619524 19.6952184 # sample estimates: # odds ratio # 3.621276 fisher.test(matrix(c(11,5,7,12),ncol=2))$p # [1] 0.09221518 qnorm(1-fisher.test(matrix(c(11,5,7,12),ncol=2))$p/2) # [1] 1.683827 Hoping this helps! Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <[EMAIL PROTECTED]> Fax-to-email: +44 (0)870 094 0861 Date: 10-Jul-08 Time: 22:52:31 ------------------------------ XFMail ------------------------------ ______________________________________________ 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.
