thanks
Simon Blomberg-4 wrote: > > Jim Lindsey's repeated package has the function gnlmm which will fit > beta regressions with a random intercept and one level of nesting. I > don't know of any other options. > > Cheers, > > Simon. > > Not sure On Mon, 2008-07-14 at 19:16 -0700, Daniel Malter wrote: >> I have a connector-question to that. Is beta-regression available for >> repeated measures or panel data and if so is it available in R? >> >> thx, >> Daniel >> >> >> Kevin J Emerson wrote: >> > >> > R-devotees, >> > >> > I have a question about modeling in the case where the response >> variable >> > is >> > binary. >> > >> > I have a case where I have a response variable that is the probability >> of >> > success, and four descriptor variables, The response has a sigmoid >> > response >> > with one of the variables. I would like to test for the effect of the >> > various descriptor variables on the percentage success of the binary >> > trait. >> > I have looked at glm with family = "binomial" but am not sure I totally >> > understand its use (and therefore am not sure it is the appropriate >> test) >> > and am looking for two things: (1) is glm with family = 'binomial' the >> > right >> > way to do this, and (2) are there any good references on how it works. >> > I have posted a plot of a sample of the data I am looking at as well as >> > the >> > sample data used to generate the plots. >> > >> > Sample Plot: http://www.uoregon.edu/~kemerson/tmp/plot.pdf >> > Sample Data: http://www.uoregon.edu/~kemerson/tmp/data.csv >> > >> > Response variable is percent.dev (se2.dev are the errors from binomial >> > estimates given probability and number of samples). >> > >> > Descriptor variables are num.days, ppd, temp, and pop. >> > >> > Any help would be greatly appreciated. >> > >> > Cheers, >> > Kevin Emerson >> > >> > >> > ==================================== >> > Kevin J. Emerson >> > Bradshaw - Holzapfel Lab >> > 1210 University of Oregon >> > Eugene, OR, 97403 >> > email: [EMAIL PROTECTED] >> > web: http://evodevo.uoregon.edu/people/emerson.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. >> > >> > >> > -- > Simon Blomberg, BSc (Hons), PhD, MAppStat. > Lecturer and Consultant Statistician > Faculty of Biological and Chemical Sciences > The University of Queensland > St. Lucia Queensland 4072 > Australia > Room 320 Goddard Building (8) > T: +61 7 3365 2506 > http://www.uq.edu.au/~uqsblomb > email: S.Blomberg1_at_uq.edu.au > > Policies: > 1. I will NOT analyse your data for you. > 2. Your deadline is your problem. > > The combination of some data and an aching desire for > an answer does not ensure that a reasonable answer can > be extracted from a given body of data. - John Tukey. > > ______________________________________________ > 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/modeling-binary-response-variables-tp18456116p18462170.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.
