[R] linear mixed model using lmer

[array chip]

 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 using 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 using 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
-- 
Sent from my phone. Please excuse my brevity.
  
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