-------- Original Message --------
Subject: Re: more CVA and LDF
Date: Tue, 21 Oct 2008 16:15:48 -0200
From: Fabio de Andrade Machado <[EMAIL PROTECTED]>
To: morphmet <[EMAIL PROTECTED]>
References: <[EMAIL PROTECTED]>

Hi again,

YEah, I reading Claude's book and it is great and very versatile.

I'm using the linear discriminant analysis function lda() for
discrimination procedures as well as it seams simpler to classify
individuals not included in the original analysis.

Annat, the other function that I was referring was candisc(), of the
candisc package
(http://cran.r-project.org/web/packages/candisc/index.html). The help
file kind of gives the impression that it refers to SAS's candisc
function, but I not shure.

cheers,

Fabio

Citando morphmet <[EMAIL PROTECTED]>:



-------- Original Message --------
Subject:        Re: more CVA and LDF
Date:   Tue, 21 Oct 2008 07:44:43 -0700 (PDT)
From:   annat haber <[EMAIL PROTECTED]>
To:     [email protected]
References:     <[EMAIL PROTECTED]>



Hi
I just started using Claude's book "Morphometrics with R" and it's
excellent. I wish it came out a year ago - would have saved me a lot of
time and pain. It breaks down every procedure into the smallest
functions, so it provides most of the basic codes you'd need but also
leaves you enough room to practice writing your own in the way of
combining them and incorporating data manipulation.



I use lda for LDF/CVA, and it seems to work fine for any number of
groups. the predict function gives you the posterior probabilities and
allows you to test group membership for un-assigned specimens using the
argument "newdata". So it's



L <- lda(X, gr)

pred<-predict(L)



where X is a specimen-by-variable data matrix and gr is a vector
specifying the grouping for each specimen in the same order that they
appear in the matrix (so you don't need them to be sorted by groups in
the data matrix and it can be any number of groups). The argument
"method" allows you to specify which method is used. This will find
either the dicriminant function (for two groups) or the canonical
variates (for more than two groups).



I don't know of another function in R for CVA/LDF - Fabio, which other
function did you mean? If you meant the function cancor, that's for
canonical correlations not canonical variates.



Cheers,

Annat





~~~~~~~~~

Annat Haber, PhD candidate

Committee on Evolutionary Biology

University of Chicago

Culver Hall 402

1025 E. 57th St.

Chicago IL 60637



Office: Hinds 289

c: 773 576 4205

http://home.uchicago.edu/~annat/



On Tue, Oct 21, 2008 at 7:08 AM, morphmet
<[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>> wrote:



    -------- Original Message --------
    Subject:        Re: more CVA and LDF
    Date:   Fri, 17 Oct 2008 18:15:15 -0700 (PDT)
    From:   Paul Sanfilippo <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>>
    To:     [email protected] <mailto:[email protected]>
    References:     <[EMAIL PROTECTED]
    <mailto:[EMAIL PROTECTED]>>



    I'm also keen to hear any discussion about the differences between these
    two methods and also how to perform particularly a CVA in R. I've used
    the 'lda' function with cross-validation on a dataset which I think is
    giving me the information I want, but how do you perform a CVA, Fabio
    (or anyone else)?

    On a side note to R (which I've been using a bit lately and am findingI
    quite like, as steep as the learning curve is), has anyone read a book
    called 'Morphometrics with R' by Julien Claude? I'm mainly interested in
    learning how to use R to perform various statistical techniques once the
    data has been analysed with the various other GMM software, so I don't
    know how applicable this book is for me.

    Thanks,

    Paul Sanfilippo
    Uni Melbourne
    Australia

    On Fri, Oct 17, 2008 at 8:41 PM, morphmet
    <[EMAIL PROTECTED]
    <mailto:[EMAIL PROTECTED]>

    <mailto:[EMAIL PROTECTED]
    <mailto:[EMAIL PROTECTED]>>> wrote:



       -------- Original Message --------
       Subject: more CVA and LDF
       Date: Fri, 17 Oct 2008 01:59:31 -0700 (PDT)
       From: Fabio de Andrade Machado <[EMAIL PROTECTED]
    <mailto:[EMAIL PROTECTED]>
       <mailto:[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>>>
       To: [email protected]
    <mailto:[email protected]>
    <mailto:[email protected] <mailto:[email protected]>>

       Hi all,

       Sorry to bring this up once more, but I don´t think any response on
       that have been posted (recently) on the list.

       What are the key differences of Canonical Variate Analysis and Linear
       Discriminant Functions?

       On Pete E. Lestrel´s "Morphometrics for the Life Science" it reads "A
       discriminant function is a linear equation, one per individual
       specimen, derived from the set of original variables x1, x2, x3,
    ....,
       xn, each of which is multiplied by a 'weighting' coefficient,
       a1,a2,a3,...,an (...). A set of these discriminant functions (...) is
       then computed for each individual case. Each discriminant function
       score is orthogonal with respect to all others". (p. 159-160)

       About Canonical Variate Analysis he says that it is design to
       calculate  "[1](...) the correlation between two derived
    variables and
       [2] a set of canonical variates or canonical functions (as suns of
       weighted variables)(...)" (p.161).

       About both he says "Although displayed results are indistinguishable
       in many respects, the purpose are different" (p.160), being the CVA
       basically an graphical aid for LDF.

       Can anyone send some references on the specifics of each method? They
       seem distinct somehow. On R there are two different functions, being
       the one associated with CVA basically for graphical purposes
    (which is
       confusing, as the one can display graphically the results of
       discriminant functions and they seem basically the same).

       cheers,

       --
       Fabio de Andrade Machado
       Laboratorio de Herpetologia/Morfometria
       Museu de Zoologia da USP
       Av. Nazaré, 481, Ipiranga
       São Paulo, SP, 04263-000
       Brazil
       +55 11 61658120

       +55 11 82631029




       --
       Replies will be sent to the list.
       For more information visit http://www.morphometrics.org
    <http://www.morphometrics.org/>



    --
    Replies will be sent to the list.
    For more information visit http://www.morphometrics.org
    <http://www.morphometrics.org/>




--
Annat Haber, Ph.D. candidate
Committee on Evolutionary Biology
University of Chicago
1025 E. 57th St. Culver Hall 402
Chicago IL 60637
[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
773 576 4205

--
Replies will be sent to the list.
For more information visit http://www.morphometrics.org



--
Fabio de Andrade Machado
Laboratorio de Herpetologia/Morfometria
Museu de Zoologia da USP
Av. Nazaré, 481, Ipiranga
São Paulo, SP, 04263-000
Brazil
+55 11 61658120

+55 11 82631029




--
Replies will be sent to the list.
For more information visit http://www.morphometrics.org

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