[R-sig-ME] equation for linear mixed model for repeated measures data

Ahmad ahmadr215 at tpg.com.au
Mon Oct 10 20:17:58 CEST 2016

Dear Thierry


Thanks for your help on this,

I will try to find the book. Can I have the name of journal that Zuur’s paaper is published.


Thanks again!





From: Thierry Onkelinx [mailto:thierry.onkelinx at inbo.be] 
Sent: Monday, 10 October 2016 6:12 PM
To: Ahmad <ahmadr215 at tpg.com.au>
Cc: r-sig-mixed-models at r-project.org
Subject: Re: [R-sig-ME] equation for linear mixed model for repeated measures data


Dear Ahmad,


You can find that in books like Pinheiro & Bates (2000) or Zuur et al (2009).


Best regards,

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest 
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance 
Kliniekstraat 25
1070 Anderlecht

To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner 
The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey


2016-10-09 15:56 GMT+02:00 Ahmad <ahmadr215 at tpg.com.au <mailto:ahmadr215 at tpg.com.au> >:


I have used "nlme" package in R for linear mixed model with repeated
measures using lme function (below):

model.1 <- lme(hta ~ group + days, data = dat, random = ~ 1 | id)

where is "hta" is the dependent variable, with 3 "groups" measured for 7
"days", and "id" is the induvial observations (subject) that were repeated
on for 7 days.

I am looking for the scientific question of this model for publication
(e.g.; yij = â0 + â1X1ij ,..) in "nlme" package, but couldn't find it.

Any help comments would be greatly appreciated!


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