Re: [R] pseudoreplication

2021-09-14 Thread Bert Gunter
This should be posted on r-sig-mixed-models, not here. But you should
realize that "equivalent analysis" presumes knowledge of what ASReml
does, so that perhaps the best target of your query is the package
maintainer, not a list concerned with other methods.

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Tue, Sep 14, 2021 at 10:52 AM James Henson  wrote:
>
> Greetings R Community
> The ASReml-R package will analyze data from experiments with
> pseudoreplications.
>
> Dealing with Pseudo-Replication in Linear Mixed Models
> https://www.vsni.co.uk/case-studies/dealing-with-pseudo-replication-in-linear-mixed-models
>
> Will the ‘lme4’ package return an equivalent analysis of data from
> experiments with pseudoreplications?
> Thank you for your assistance.
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> and provide commented, minimal, self-contained, reproducible code.

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[R] pseudoreplication

2021-09-14 Thread James Henson
Greetings R Community
The ASReml-R package will analyze data from experiments with
pseudoreplications.

Dealing with Pseudo-Replication in Linear Mixed Models
https://www.vsni.co.uk/case-studies/dealing-with-pseudo-replication-in-linear-mixed-models

Will the ‘lme4’ package return an equivalent analysis of data from
experiments with pseudoreplications?
Thank you for your assistance.

[[alternative HTML version deleted]]

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[R] pseudoreplication - LME

2009-12-04 Thread Rita

Need some help please 
I am trying to use this model because I have temporal replication in my data

results-read.table(file=file.choose(),header=T)
attach(results)
names(results)
results-na.omit(results)
library(nlme)
library(lattice)
results-groupedData(weight~date|group,outer=~diet,results)
plot(results)
plot(results,outer=T)
model-lme(weight~diet,random=~date|group,results)  everything
worked till here
although when I compute the model this error appears Error in
lme.formula(weight ~ diet, random = ~date | group, results) : nlminb
problem, convergence error code = 1
message = iteration limit reached without convergence (9)
summary(model)
http://n4.nabble.com/file/n948321/rawoctobercalciumexperiment2.xlsx
rawoctobercalciumexperiment2.xlsx 
kind regards
thank you in advance 
Ana
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