Dear R users, I am having problems using package lme4.
I am trying to analyse the effect of a continuous variable (Dist_NV) on a count data response variable (SR_SUN) using Poisson error distribution. However, when I run the model: summary(lmer((SR_SUN)~Dist_NV + (1|factor(Farm_code)) , family=poisson, REML=FALSE)) 1 error message and 1 warning message show up: in asMethod(object) : matrix is not symmetric [1,2] In addition: Warning message: In mer_finalize(ans) : singular convergence (7) A model including Dist_NV together with other variables runs with no problems. What am I doing wrong? Thank you, Luisa -- Luisa Carvalheiro, PhD Southern African Biodiversity Institute, Kirstenbosch Research Center, Claremont & University of Pretoria Postal address - SAWC Pbag X3015 Hoedspruit 1380, South Africa telephone - +27 (0) 790250944 carvalhe...@sanbi.org lgcarvalhe...@gmail.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.
