rlson" <dcarl...@tamu.edu>
An: "Jens Koch" <jens.k...@gmx.li>, "r-help@r-project.org"
<r-help@r-project.org>
Betreff: RE: [R] discriminant analysis lda under MASS
If the textbook provides the equations, you can work through them directly. But
without
If the textbook provides the equations, you can work through them directly. But
without knowing more, it is hard to say. You could also contact the author of
the textbook.
-
David L Carlson
Department of Anthropology
Texas A University
College Station, TX
There is a good tutorial here:
http://www.statsoft.com/textbook/discriminant-function-analysis/
I doubt your question is appropriate for this list ... good luck!
David Cross
d.cr...@tcu.edu
www.davidcross.us
On May 8, 2011, at 7:28 PM, Sylvia Rocha wrote:
I am a student of ecology from
Please do not double post. See my answer to your other message from today.
Uwe Ligges
On 30.12.2010 14:31, Yemi Oyeyemi wrote:
Dear R-helpers
I am having problem or reservation analyzing my data
using discrminant analysis. The problem is that all my dependent
Which kind of discriminant analysis?
If you mean LDA, use lda() in package MASS and read the correpsonding
book Modern Applied Statistics with S by Venables and Ripley published
by Springer.
Uwe Ligges
On 01.06.2010 09:24, suman dhara wrote:
Sir,
Can you suggest some function for
Beatriz Yannicelli wrote:
Dear all:
Is it possible to conduct a discriminant analysis in R with categorical and
continuous variables as predictors?
Beatriz
Beatriz,
Simply doing this in the R console:
RSiteSearch(discriminant)
yields many promising links. In particular, check documentation
reauire(MASS) ; ?predict.lda should enlighten you. Glancing at VR4
might be a bit more illuminating...
HTH
Emmanuel Charpentier
Le vendredi 03 avril 2009 à 22:29 +0200, Pavel Kúr a écrit :
Hello!
I need some help with the linear discriminant analysis
Jose Antonio wrote:
Dear R users,
I have some environmental variables and I need to find the best combination
of them in order to separate two main groups (coded 1 and 2). I have
performed a discriminant analysis using the stepclass function as a method
for selecting the most relevant
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