Dear Ebrahim,
We do not deal with study or work assignments in this group. 
I'd suggest, nonetheless, to look into the lme4 package and the mer-class 
objects created with this package.
Regards,

José

Prof. José Iparraguirre
Chief Economist
Age UK



-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
Behalf Of Ebrahim Jahanshiri
Sent: 25 July 2013 13:01
To: r-help@r-project.org
Subject: [R] Computing "standard error of the mean" using REML

Let say we have different samples taken from the same population (I am talking 
about soil samples and different schemes of sampling) and now we want to 
compare the accuracy of samples using standard error of mean.
I have been asked to compute standard error of the mean of samples using 
"residual maximum likelihood (REML)" however, I couldn't find any function in R 
to do it. All I could find were the function "lmerTest" that do maximum 
likelihood for the fixed effects modelling but not for computing the "standard 
error of the mean".

I would appreciate any clue.

EJ

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