Thank you for the suggestions, I'm sure irr is what I'm looking for. Thanks again.
spencerg wrote: > > To look up "observer agreement", you might consider the > "RSiteSearch" package. The "RSiteSearch.function" looks only for > matches in help pages of contributed packages. > > > library(RSiteSearch) > oa <- RSiteSearch.function("observer agreement") > attr(oa, "hits") # 4 functions matching this term > HTML(oa) # to open the results as a table in a web browser. > > > An alternative search term for this is "interrater reliability". > > > ir.r <- RSiteSearch.function("inter-rater reliability") > attr(ir.r, "hits") # 1 > irr <- RSiteSearch.function("interrater reliability") > attr(irr, "hits") # 19 > ir..r <- RSiteSearch.function("inter rater reliability") > attr(ir..r, "hits") # 1 > > > In particular, this identified a package "irr" for interrater > reliability. > > > The development version of the "RSiteSearch" package on R-Forge > includes a "unionRSiteSearch" function that allows one to combine all > these searches. You can get this version using > 'install.packages("RSiteSearch", > repos="http://R-Forge.R-project.org")'; if this gives you version > 1.0-0, please wait 24 hours and try again, because this version contains > a bug that I just fixed. The new version 1.0-1 should be available in > 24 hours. With it, the following just worked for me: > > > IRR <- unionRSiteSearch(oa, unionRSiteSearch(ir.r, > unionRSiteSearch(irr, ir..r) ) ) > attr(IRR, "hits") > HTML(IRR) > > > Hope this helps. > Spencer Graves > > Murray Cooper wrote: >> Paul, >> >> I suggest looking up "observer agreement". The description of your >> study sounds like a classical >> categorical observer agreement problem. I can't give >> a reference off the top of my head, but if you get >> stuck, e-mail me and I'll try and find a ref to get you started. >> >> Murray M Cooper, Ph.D. >> Richland Statistics >> 9800 N 24th St >> Richland, MI, USA 49083 >> Mail: richs...@earthlink.net >> >> ----- Original Message ----- From: "Paul Heinrich Dietrich" >> <paul.heinrich.dietr...@gmail.com> >> To: <r-help@r-project.org> >> Sent: Sunday, May 10, 2009 8:25 AM >> Subject: [R] Function recommendation for this study... >> >> >>> >>> Hi, >>> I'm not used to thinking along these lines, and wanted to ask your >>> advice: >>> >>> Suppose you have a sample of around 100, consisting of patients >>> according to >>> doctors, in which patients and doctors are given a questionnaire with >>> categorical responses. Each patient somehow has roughly 3 doctors, or 3 >>> rows of data. The goal is to assess by category of each question or >>> DV the >>> agreement between the patient and 3 doctors. For example, a question >>> may be >>> asked about how well the treatment is understood by the patient, and the >>> patient answers with their perception, while the 3 doctors each >>> answer with >>> their perception. >>> >>> The person currently working on this has used a Wilcoxon Sign Rank >>> test, and >>> asked what I thought. Personally, I shy away from nonparametrics and >>> prefer >>> parametric Bayesian methods, but of course am up for whatever is most >>> appropriate. I was concerned about using multiple Wilcoxon tests, >>> one for >>> each question, and wondering if there is a parametric method in R for >>> something like this, and a method which is multivariate? Thanks for any >>> suggestions. >>> -- >>> View this message in context: >>> http://www.nabble.com/Function-recommendation-for-this-study...-tp23469646p23469646.html >>> >>> >>> Sent from the R help mailing list archive at Nabble.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. >>> >> >> ______________________________________________ >> 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. >> > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/Function-recommendation-for-this-study...-tp23469646p23480875.html Sent from the R help mailing list archive at Nabble.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.