Hi,
I used linear discriminant analysis (lda) to classify and to
cross-validate samples of two plant species based on morphometric data
and to identify the variables that best discriminate between the two
species.
Because some of the variables are not, and can not be transformed to be,
normally distributed, I would like to use a non-parametric method.
Are there any R packages that provide methods for non-parametric
discriminant analysis? Would randomForest
(http://cran.r-project.org/web/packages/randomForest) be appropriate and
recommended?
Thanks for help and best regards
Walter Durka
--
*****
Dr. Walter Durka
Department Biozönoseforschung
Department of community ecology
Helmholtz-Zentrum für Umweltforschung GmbH - UFZ
Helmholtz Centre for Environmental Research - UFZ
Theodor-Lieser-Str. 4 / 06120 Halle / Germany
[email protected] / http://www.ufz.de/index.php?en=798
phone +49 345 558 5314 / Fax +49 345 558 5329
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