Hi - I'm having a problem trying to use the function GLMM() from lme4. Here is what happens:> library(lme4)Loading required package: Matrix Loading required package: lattice> f1 <- GLMM(success~yearF, data=quality, random=~1|bandnumb,family=binomial, method=PQL) Error: couldn't find function "GLMM" I remember having used lme4 before, without any problem. Can someone help me understanding what is wrong? I'm using R 2.2.1, could that be a problem? I also tried installing lme4 again, and updating the package, with no success. Thanks for your help, Amelie [[alternative HTML version deleted]]
the lme4 function you want is probably lmer() type ?lmer btw. your R is very old we are at 2.5.0 ... Stefan Amelie LESCROEL wrote:> Hi - I'm having a problem trying to use the function GLMM() from lme4. Here > is what happens: > > > > >> library(lme4) >> > > Loading required package: Matrix > > Loading required package: lattice > > >> f1 <- GLMM(success~yearF, data=quality, random=~1|bandnumb, >> > family=binomial, method=PQL) > > Error: couldn't find function "GLMM" > > > > I remember having used lme4 before, without any problem. Can someone help me > understanding what is wrong? I'm using R 2.2.1, could that be a problem? I > also tried installing lme4 again, and updating the package, with no success. > > > > Thanks for your help, > > > > Amelie > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at stat.math.ethz.ch 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. > > >
paulandpen
2007-May-15 15:01 UTC
[R] apologies for any corss-posting R package for conjoint choice questionnaire design (not analysis)????
Hi all, I want to develop a choice based questionnaire and I need to generate a set of choice tasks The design is comprised of four attributes (5*3*3*3) with the following 5 price 3 brand 3 service 3 installation I need to determine the minimum no of choice tasks which can be used to estimate main effects for each attribute and then actually generate these choice tasks to be included in the survey SPSS has orthoplan but only generates these tasks for a traditional conjoint design, not for conjoint based choice tasks A partial factorial design is what I had in mind ......................... Is there a package to be able to do this in R? Many thanks Paul