It depends on what you are after. I am by no means a wunderkind when
it comes to transformation, but in the package vegan type
?wisconsin
and that should give you a start, but if you know what
transformations you would like to preform then apply should do what
you need with whatever transformation you are trying to use.
Stephen Sefick
On Wed, May 27, 2009 at 5:26 AM, Hollix <Holger.steinmetz at web.de>
wrote:>
> Hello folks,
>
> many multivariate anayses (e.g., structural equation modeling) require
> multivariate normal distributions.
> Real data, however, most often significantly depart from the multinormal
> distribution. Some researchers (e.g., Yuan et al., 2000) have proposed a
> multivariate transformation of the variables.
>
> Can you tell me, if and how such a transformation can be handeled in R?
>
> Thanks in advance.
> With best regards
> Holger
>
>
> ---------------
> Yuan, K.-H., Chan, W., & Bentler, P. M. (2000). Robust transformation
with
> applications to structural equation modeling. British Journal of
> Mathematical and Statistical Psychology, 53, 31?50.
> --
> View this message in context:
http://www.nabble.com/Multivariate-Transformations-tp23739013p23739013.html
> Sent from the R help mailing list archive at Nabble.com.
>
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--
Stephen Sefick
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods. We are mammals, and have not exhausted the
annoying little problems of being mammals.
-K. Mullis