linear mixed model using lmer
Thanks Jeff for reminding me that the attachment is removed. I put it in my google drive if anyone wants to test the data (https://drive.google.com/file/d/1lgVZVLHeecp9a_sFxEPeg6353O-qXZhM/view?usp=sharing) I'll try the mixed model mailing list as well. John
On Friday, March 4, 2022, 04:56:20 PM PST, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
a) There is a mailing list for that: https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models b) Read the Posting Guide, as most attachment types are removed to avoid propagating worms/viruses. (None seen upon receipt of this email.)
On March 4, 2022 4:41:57 PM PST, array chip via R-help <r-help at r-project.org> wrote:
Dear all, I have this simple dataset to measure the yeild of a crop collected in 2 batches (attached). when I ran a simple inear mixed model using lmer to estimate within-batch and between-batch variability, the between-batch variability is 0. The run showed that data is singular. Does anyone know why the data is singular and what's the reason for 0 variability? is it because the dataset only has 2 batches?
daty<-read.table("datx.txt",sep='\t',header=T,row.names=NULL)
library(lme4)> lmer(yield~1+(1|batch),daty)
boundary (singular) fit: see ?isSingular Linear mixed model fit by REML ['lmerMod'] Formula: yield ~ 1 + (1 | batch) ? ?Data: daty REML criterion at convergence: 115.6358 Random effects: ?Groups? ?Name? ? ? ? Std.Dev. ?batch? ? (Intercept) 0.000? ? ?Residual? ? ? ? ? ? ?2.789? ? Number of obs: 24, groups:? batch, 2 Fixed Effects: (Intercept)?? ? ? ? 5.788?? Thanks! John
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