R help - Feb 2016 - R package for bootstrapping a mixed-design (between-within) MANOVA

Dear all,

new to R  - I have tried to search different package manuals, but seem
to be unable to find what I want...is there an R package that allows me
to compute bootstrapped MANOVAs for multivariate analysis containing two
factors, one of them being a repeated measures (within) factor, the
other one a simple between-subjects factor? I am interested in
bootstrapping F-values for potential interaction effects (using Pillai's
trace criterion) of both factors across a set of dependent variables.


Thanks!
Kristina

-----------------------------------------
Kristina Loderer
Ludwig-Maximilians-Universit?t M?nchen
Department Psychologie
Leopoldstr. 13
D-80802 M?nchen

Telefon: +49 (89) 2180-6047
Email: Kristina.Loderer at psy.lmu.de

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

R is a programming LANGUAGE. You can always write your own code (it is
not clear exactly how you would bootstrap, as this is not an iid error
structure), and there are many online courses and tutorials to help
you do so.  See here for some suggestions:
https://www.rstudio.com/resources/training/online-learning/#R

the Rseek.org website can also be useful to search for R packages and functions.

Finally, you might try posting to the r-sig-mixed-models list, as this
appears to be more directly relevant to your task.

HTH.

Cheers,
Bert


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 Sun, Feb 28, 2016 at 10:25 AM, Kristina Loderer
<Kristina.Loderer at psy.lmu.de> wrote:
> Dear all,
>
> new to R  - I have tried to search different package manuals, but seem
> to be unable to find what I want...is there an R package that allows me
> to compute bootstrapped MANOVAs for multivariate analysis containing two
> factors, one of them being a repeated measures (within) factor, the
> other one a simple between-subjects factor? I am interested in
> bootstrapping F-values for potential interaction effects (using
Pillai's
> trace criterion) of both factors across a set of dependent variables.
>
>
> Thanks!
> Kristina
>
> -----------------------------------------
> Kristina Loderer
> Ludwig-Maximilians-Universit?t M?nchen
> Department Psychologie
> Leopoldstr. 13
> D-80802 M?nchen
>
> Telefon: +49 (89) 2180-6047
> Email: Kristina.Loderer at psy.lmu.de
>
> -----------------------------------------
>
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