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. > > -- View this message in context: http://www.nabble.com/modeling-binary-response-variables-tp18456116p18456854.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.
