Thank you for this valued advice, David, in response to which I have sent a very similar message to the list you recommend. I would also welcome suggestions from members of the r-help@r-project list, where appropriate.
Best wishes Margaret -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. -----Original Message----- From: David Winsemius [mailto:[email protected]] Sent: 14 September 2016 16:17 To: MACDOUGALL Margaret <[email protected]> Cc: [email protected] Subject: Re: [R] Cross-classified multilevel binary logistic regression model with random effects at level 2 > On Sep 14, 2016, at 6:05 AM, MACDOUGALL Margaret > <[email protected]> wrote: > > Hello > > I am not a seasoned R user and am therefore keen to identify a book chapter > that can provide structured advice on setting up the type of model I am > interested in using R. I would like to run a cross-classified multilevel > binary logistic regression model. The model contains two level 2 random > effects variables. These variables are crossed to form a cross-classified > design. The model has subjects at level one and these subjects are nested > within each of the two level two variables. I understand that the R package > lme4 may be suitable for running my model and that there are several > published books on running mixed models in R. If a list member is able to > kindly recommend whether one of these books is particularly helpful in > helping less experienced R users fully understand how to use this (or an > alternative) program specifically for the model I have outlined above, I > would be most grateful for recommendations. You would get the widest and most knowledgeable audience for this question at the MixedModels mailing list. https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models -- David Winsemius Alameda, CA, USA ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see 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.
