Dear Craig, It is better to ask questions about lme4 at r-sig-mixed-models (in cc).
Are you using a recent version of lme4? Try upgrading lme4 and see if you still get the error. Best regards, Thierry ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium + 32 2 525 02 51 + 32 54 43 61 85 thierry.onkel...@inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner 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 -----Oorspronkelijk bericht----- Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens Craig O'Connell Verzonden: maandag 28 april 2014 3:20 Aan: r-help@r-project.org Onderwerp: [R] lme4 Error Help: “maxstephalfit…pwrssUpdate” I am using a mixed model to assess the effects of various variables (i.e. treatment, density, visibility) on bee behavior (e.g., avoidance frequency - total avoidances per total visits; feeding frequency, and mating frequency). Bee individuals is my random factor (n=63 different bees), whereas treatment type, animal density, and air visibility are my fixed factors. However, when I run my models, I immediately get an error that I cannot fix. Here is a sample of my data: Bee Treatment Visits Avoid Feeding Mating Density Visibility 1 C 5 0 5 0 5 4 2 C 4 0 3 0 5 4 3 C 3 0 3 0 5 4 ... 63 1 PC 2 0 1 1 5 4 2 PC 3 0 0 3 5 4 3 PC 1 0 0 0 5 4 ... 63 1 M 5 0 1 3 5 4 2 M 3 2 0 0 5 4 3 M 2 0 0 2 5 4 ... 63One I create my .txt file, I being my coding in R by first loading lme4. After that, my coding starts off as follows: barrierdat = read.table("GLMMROW.txt", header=TRUE) barrierdat barrierdat$Visibility = as.factor(barrierdat$Visibility); barrierdat$Density = as.factor(barrierdat$Density); p01.glmer = glmer(Avoidance~offset(log(Visits))+(1|Bee), family=poisson, data=egghead); # null model; p02.glmer = glmer(Avoidance~offset(log(Visits))+(1|Bee)+Treatment, family=poisson, data=egghead); p03.glmer = glmer(Avoidance~offset(log(Visits))+(1|Bee)+Visibility, family=poisson, data=egghead); p04.glmer = glmer(Avoidance~offset(log(Visits))+(1|Bee)+Density, family=poisson, data=egghead);However, upon immediately running my models (e.g. p01.glmer), I receive the error: Error: (maxstephalfit) PIRLS step-halvings failed to reduce deviance in pwrssUpdate Does anybody know what the issue is? I ran similar data several weeks ago and had no issues. Any Suggestions on how to proceed? [[alternative HTML version deleted]] ______________________________________________ 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. * * * * * * * * * * * * * D I S C L A I M E R * * * * * * * * * * * * * Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. The views expressed in this message and any annex are purely those of the writer and may not be regarded as stating an official position of INBO, as long as the message is not confirmed by a duly signed document. ______________________________________________ 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.
