You might get better answers on the r-sig-ME list. The lmer() function from lme4 handles crossed and non-nested random effects quite seamlessly. I cannot comment on whether or not lme() can as well.
-- Kevin E. Thorpe Head of Biostatistics, Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's Assistant Professor, Dalla Lana School of Public Health University of Toronto email: kevin.tho...@utoronto.ca Tel: 416.864.5776 Fax: 416.864.3016 > On Jul 20, 2021, at 10:32 AM, Juan Liu <21707...@zju.edu.cn> wrote: > > EXTERNAL EMAIL: > > Dear R project, > > I am a doctoral student in Zhejiang university in China, I am using lme > function in nlme package and learning the function by Package 'nlme' > document. I am writing this email for some help to build a lme model. > > My goal was to include two non-nested random effects in the lme model. the > document described how to write the random effects while I found it difficult > for me to understand. My problem are as below: > > > > > In these model, site and year were considered as non nested effects. I want > to set the structure in lme model the same as lmer model(the 1st model > below), and I used the structure "random=list(site=~1,year=~1)"(the 2nd model > below) . According to the result, the lme model was obviously wrong, for the > R2 and AIC were different from that of lmer model. I want to know to get the > same result as lmer model, how should I set the random argument? > > Below is the model and results in R, > > > > > ################################################################1. lmer > function > lmer<-lmer(data, y~x1+x2+x3+(1|site)+(1|year)) > r2(lmer)##58.8%；29.7% > r.squaredGLMM(lmer)##58.8%; 29.72%;AIC=462.4 > ###################################################################2. lme1 > lme1<-lme(data, y~x1+x2+x3,random = list(site=~1,year=~1)) > r2(lme1)## NA(can't get the result) > r.squaredGLMM(lme1)##92.4%; 30.89%;AIC=533 > > > > > I will be appreciated for your help. > > > > > Yours sincerely, > > Juan Liu > > Juan Liu > > PhD candidate > > College of Life Sciences, Zhejiang University > > 866 Yuhangtang Road, Hangzhou > > Zhejiang 310058, P.R.China > > 21707...@zju.edu.cn； liujuan_1...@outlook.com > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.
