By the way, did you notice that the levels of Emotion include both "joy" and "joy ". You may want to correct that.
On Sat, Jul 12, 2008 at 7:47 AM, Douglas Bates <[EMAIL PROTECTED]> wrote: > On Sat, Jul 12, 2008 at 6:23 AM, Lan Wei <[EMAIL PROTECTED]> wrote: >> Hi all, >> >> I have a problem when running lmer. >> In my data set, Agree is a binary(0/1) response. WalkerID and ObsID is >> the identification number of the subjects. the description of the >> other variables are as follows: >>> >>> levels(regdat$Display) >> >> [1] "Dynamic" "Static" >>> >>> levels(regdat$Survey) >> >> [1] "HM1_A" "HM1_B" "HM1_C" "HM2_A" "HM2_B" "HM2_C" "ST_A" "ST_B" >> "ST_C" >>> >>> levels(regdat$Emotion) >> >> [1] "aneu" "ang" "con" "joy" "joy " "sad" >>> >>> levels(regdat$ObsGender) >> >> [1] "F" "M" >>> >>> levels(regdat$WalkerGender) >> >> [1] "F" "M" >> >> the watning is: >>> >> fit1<-lmer(Agree~Display+Survey+Emotion+WalkerGender+ObsGender+(1|WalkerID)+(1|ObsID),family=binomial(link='logit'),data=regdat) >> Warning message: >> In mer_finalize(ans, verbose) : gr cannot be computed at initial par >> (65) > >> Does anybody have some hint to solve this problem? I'd very much appreciate >> it! > > In situations like this it is best to add the argument > > verbose = TRUE > > in the call to lmer so that you can see the progress of the > iterations. (Also, you may want to call glmer directly. When you > call lmer with a non-gaussian family it simply calls glmer. You can > avoid the extra step.) > > This call is returning a warning about evaluation of the gradient at > the initial values of the parameters. I'm not sure if it then goes on > to optimize the approximated deviance. > > If the approximated deviance is not being minimized for this model you > may want to start with a simpler model, omitting some of the terms in > the fixed effects. > ______________________________________________ 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.
