R help - Oct 2000 - Random factor ANOVA, Repeated measures ANOVA, Within subjects designs.

Hi,

we are just about to evaluate R as a standard statistics package for
our institute. We looked around the help - manual, the FAQ, etc. and
did not find anything for the topics of random factors in ANOVA,
repeated measures in ANOVA, or within subjects designs in R.

Could anyone point us to any information concerning

   - univariate approach to repeated measures anova
   - multivariate approach to repeated measures anova
   - mixed designs
   - Greenhouse-Geisser epsilon correction
   - Newman-Keuls contrasts
   - LSR contrasts
   - Tukey contrasts
   - Scheffe contrasts

Any help or comment appreciated.

Since we are not in the mailing list yet, please cc your reply to
volker.franz at tuebingen.mpg.de.

Thanks, Volker

-- 
___________________________________________________________

    Volker Franz
    Max-Planck-Institut fuer biologische Kybernetik
    Spemannstr. 38 
    72076 Tuebingen 
    Tel   : ++49 (0)7071/601-606 
    Fax   : ++49 (0)7071/601-616 
    mailto:volker.franz at tuebingen.mpg.de
    http://www.kyb.tuebingen.mpg.de/bu
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On Fri, 13 Oct 2000, Volker Franz wrote:
> Hi,
> 
> we are just about to evaluate R as a standard statistics package for
> our institute. We looked around the help - manual, the FAQ, etc. and
> did not find anything for the topics of random factors in ANOVA,
> repeated measures in ANOVA, or within subjects designs in R.
> 
> Could anyone point us to any information concerning
> 
>    - univariate approach to repeated measures anova
>    - multivariate approach to repeated measures anova
>    - mixed designs
>    - Greenhouse-Geisser epsilon correction
>    - Newman-Keuls contrasts
>    - LSR contrasts
>    - Tukey contrasts
>    - Scheffe contrasts
> 
> Any help or comment appreciated.
Well, the last four are methods for multiple comparisons, not themselves
contrasts!   R is a tool within which all of these can be done and
most have been, but it is not a `standard statistics package' and
it does not come pre-packaged for particular fields.

Try looking at the help for aov and the references to its S antecedent.
It's much more powerful than `aov' might suggest to a non-statistician.

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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Could anyone point us to any information concerning

   - univariate approach to repeated measures anova
   - multivariate approach to repeated measures anova
   - mixed designs
   - Greenhouse-Geisser epsilon correction
   - Newman-Keuls contrasts
   - LSR contrasts
   - Tukey contrasts
   - Scheffe contrasts

---------------

Repeated measures are, in fact, dealt with in Venables and
Ripley, and Chambers and Hastie, and what they say seems to apply
fully (or almost fully) to R.  Probably that is true of some of
your other topics too.  See also the brief list of S-Plus soruces
in http://www.psych.upenn.edu/links.html#stats

But because repeated measures are so common in psychology, we
have dealt with them a bit more extensively in our notes:
http://www.psych.upenn.edu/~baron/rpsych.pdf (or rpsych.htm, if
you prefer), and we plan to add some additional material soon
concerning Error(), which is essential for repeated measures and
mixed designs.


Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page: http://www.sas.upenn.edu/~jbaron
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You might want to take a look at the nlme (linear and non-linear mixed effects
models) package; the book by Pinheiro & Bates (2000) "Mixed-effects
models
in S and S-Plus", published by Springer, illustrates extensively the use of
that
package, including several examples of 'repeated measures' and
within-subjects designs.

Ramon


On Fri, 13 Oct 2000, Volker Franz wrote:
> Hi,
> 
> we are just about to evaluate R as a standard statistics package for
> our institute. We looked around the help - manual, the FAQ, etc. and
> did not find anything for the topics of random factors in ANOVA,
> repeated measures in ANOVA, or within subjects designs in R.
> 
> Could anyone point us to any information concerning
> 
>    - univariate approach to repeated measures anova
>    - multivariate approach to repeated measures anova
>    - mixed designs
>    - Greenhouse-Geisser epsilon correction
>    - Newman-Keuls contrasts
>    - LSR contrasts
>    - Tukey contrasts
>    - Scheffe contrasts
> 
> Any help or comment appreciated.
> 
> Since we are not in the mailing list yet, please cc your reply to
> volker.franz at tuebingen.mpg.de.
> 
> Thanks, Volker
> 
> -- 
> ___________________________________________________________
> 
>     Volker Franz
>     Max-Planck-Institut fuer biologische Kybernetik
>     Spemannstr. 38 
>     72076 Tuebingen 
>     Tel   : ++49 (0)7071/601-606 
>     Fax   : ++49 (0)7071/601-616 
>     mailto:volker.franz at tuebingen.mpg.de
>     http://www.kyb.tuebingen.mpg.de/bu
> ___________________________________________________________
>
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> r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
> Send "info", "help", or "[un]subscribe"
> (in the "body", not the subject !)  To: r-help-request at
stat.math.ethz.ch
>
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-- 
Ramón Díaz-Uriarte
Triana 47
28016 Madrid
Spain

email:ramon-diaz at teleline.es
Phone: +-34-918-513-966
       +-34-657-186-407	







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Thank you very much for your quick replies!!! We just looked through:

http://www.psych.upenn.edu/~baron/rpsych.pdf

and also ran a (first) repeated measures ANOVA, and this all looks
very encouraging.

Volker

-- 
___________________________________________________________

    Volker Franz
    Max-Planck-Institut fuer biologische Kybernetik
    Spemannstr. 38 
    72076 Tuebingen 
    Tel   : ++49 (0)7071/601-606 
    Fax   : ++49 (0)7071/601-616 
    mailto:volker.franz at tuebingen.mpg.de
    http://www.kyb.tuebingen.mpg.de/bu
___________________________________________________________
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r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
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Some of what you want may be found in the nlme package by Pinheiro and Bates.
See
this site
http://cm.bell-labs.com/cm/ms/departments/sia/project/nlme/
In their recent book on mixed-effects models, they state that they wrote it for
versions of S including R, but I haven't tested that. Some of their package
uses
Trellis graphics, not implemented in R.

Patrick Foley
patfoley at csus.edu

Volker Franz wrote:
> Hi,
>
> we are just about to evaluate R as a standard statistics package for
> our institute. We looked around the help - manual, the FAQ, etc. and
> did not find anything for the topics of random factors in ANOVA,
> repeated measures in ANOVA, or within subjects designs in R.
>
> Could anyone point us to any information concerning
>
>    - univariate approach to repeated measures anova
>    - multivariate approach to repeated measures anova
>    - mixed designs
>    - Greenhouse-Geisser epsilon correction
>    - Newman-Keuls contrasts
>    - LSR contrasts
>    - Tukey contrasts
>    - Scheffe contrasts
>
> Any help or comment appreciated.
>
> Since we are not in the mailing list yet, please cc your reply to
> volker.franz at tuebingen.mpg.de.
>
> Thanks, Volker
>
> --
> ___________________________________________________________
>
>     Volker Franz
>     Max-Planck-Institut fuer biologische Kybernetik
>     Spemannstr. 38
>     72076 Tuebingen
>     Tel   : ++49 (0)7071/601-606
>     Fax   : ++49 (0)7071/601-616
>     mailto:volker.franz at tuebingen.mpg.de
>     http://www.kyb.tuebingen.mpg.de/bu
> ___________________________________________________________
>
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
> r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
> Send "info", "help", or "[un]subscribe"
> (in the "body", not the subject !)  To: r-help-request at
stat.math.ethz.ch
>
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r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
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(in the "body", not the subject !)  To: r-help-request at
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