The help page of prop.test gives you three references. Isn't it enough? For example,
Newcombe R.G. (1998) Two-Sided Confidence Intervals for the Single Proportion: Comparison of Seven Methods. _Statistics in Medicine_ *17*, 857-872. Newcombe R.G. (1998) Interval Estimation for the Difference Between Independent Proportions: Comparison of Eleven Methods. _Statistics in Medicine_ *17*, 873-890. 2009/8/13 <ghe...@mathnmaps.com>: > > Preparing a paper for a medical journal. > > Using the prop.test() function in R (v2.4.0) > > to compare two groups' response to data like the following. > > A sample of 100 individuals from Population I, 18 with positive readings > > from a certain test, > > vs. > > A sample of 148 individuals from Population II, 61 with positive readings. > > > > Results look like this: > > > > R version 2.4.0 Patched (2006-11-25 r39997) > > ...... > >> prop.test(c(18,61),c(100,148)) > > > > 2-sample test for equality of proportions with continuity > > correction > > > > data: c(18, 61) out of c(100, 148) > > X-squared = 13.7676, df = 1, p-value = 0.0002069 > > alternative hypothesis: two.sided > > 95 percent confidence interval: > > -0.3498963 -0.1144280 > > sample estimates: > > prop 1 prop 2 > > 0.1800000 0.4121622 > > > > > > Presumably the p-value measures that the likelihood > > that the two populations have the same proportion of > > response. My question is this. The reviewer of the > > paper has asked for a reference on the algorithm used > > to compute the p-value. The R Reference Manual is not > > clear on this. Is this a standard algorithm that can > > be quoted by name (e.g., "Two-sample T Test")? I > > do note that the manual quotes a 1927 article by E.B. > > Wilson. Is the method of computation explained there? > > > > Thank you for any assistance you can provide. > > > > George Heine > > ghe...@mathnmaps.com > > ______________________________________________ > 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. > -- HUANG Ronggui, Wincent PhD Candidate Dept of Public and Social Administration City University of Hong Kong Home page: http://asrr.r-forge.r-project.org/rghuang.html ______________________________________________ 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.