-------- Original Message --------
Subject:        RE: Sampe size reduction testing bootstrap
Date:   Wed, 27 May 2009 00:56:38 -0700 (PDT)
From:   Louis Boell <[email protected]>
To:     <[email protected]>
References:     <[email protected]>



Dear Getulio,

I have realized that "bootstrap" is indeed the inappropriate term for
what I wish to do. I would simply like to randomly draw 15 specimens
from my groups containing 30 specimens and to repeat this, say, 100
times in order to obtain a distribution of the Mahalanobis distances
between groups containing only 15 specimens when using 15 Landmarks.
Probably "permutation" fits this approach better.
Concerning R, I am decided to learn it as soon as possible...
Thanks for the advice,
Best wishes,

Louis


Louis Boell
MPI für Evolutionsbiologie
August-Thienemannstr.2
24306 Plön
[email protected]
[email protected]




 > Date: Tue, 26 May 2009 15:23:03 -0400
 > From: [email protected]
 > To: [email protected]
 > Subject: Re: Sampe size reduction testing bootstrap
 >
 >
 >
 > -------- Original Message --------
 > Subject: Re: Sampe size reduction testing bootstrap
 > Date: Tue, 26 May 2009 11:37:03 -0700 (PDT)
 > From: Getulio Amaral <[email protected]>
 > To: [email protected]
 > References: <[email protected]>
 >
 > Dear Louis,
 >
 > The bootstrap uses a sample to a empirical distribution of the variable.
 > I do not think bootstrap is suitable in this case.
 >
 > Maybe you can use the Hotteling and Goodall tests on the tangent space
 > but the number of landmarks in each object must be the same.
 >
 > If you use R, there is the function shapes, where at the link
 >
 > http://cran.r-project.org/web/packages/shapes/index.html
 >
 > You can download the pdf file with all the instruction.
 >
 > Best regards,
 > Getulio J. A. Amaral
 > Departamento de Estatística
 > Centro de Ciências Exatas e da Natureza
 > Universidade Federal de Pernambuco
 > http://www.de.ufpe.br/~gjaa
 >
 > > -------- Original Message --------
 > > Subject: Sampe size reduction testing bootstrap
 > > Date: Tue, 26 May 2009 07:40:35 -0700 (PDT)
 > > From: Louis Boell <[email protected]>
 > > To: <[email protected]>
 > >
 > >
 > >
 > > Dear colleagues,
 > >
 > > I would like to ask for your advice about the following problem: In a
> > landmark-based GM context I am calculating Mahalanobis distances beween
 > > several groups. Now my material consists of museum material, thus I do
> > have sample size problems. My samples consist of 15 to 30 Landmarks per
 > > group. I want to use 15 2D landmarks, which means that I need 30
> > specimens per group, which is not possible for some groups. In order to
 > > estimate the amount of deviation from the "true" Mahalanobis distances
 > > caused by having less than 30 specimens in a group, I randomly
discarded
 > > 15 specimens from some groups for which I have 30 specimens and
 > > calculated the correlation between the Mahalanobis distances from the
 > > unreduced sample set and those from the reduced sample set, which gave
 > > me an rsq of about .8.
> > Now I think that this calculation is in principle ok, but the choice of
 > > specimens to be discarded for the calculation of this correlation
> > should be bootstrapped. I have been using MorphoJ so far, but this does > > not allow for implementig a self-written bootstrapping procedure (which
 > > I do also not yet have). What would you do in such a situation?
 > > Thanks in advance for any help with this,
 > > Best wishes,
 > >
 > > Louis Boell
 > >
 > >
 > > Louis Boell
 > > MPI für Evolutionsbiologie
 > > August-Thienemannstr.2
 > > 24306 Plön
 > > [email protected]
 > > [email protected]
 > >
 > >
 > >
 > >
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 > > --
 > > Replies will be sent to the list.
 > > For more information visit http://www.morphometrics.org
 > >
 >
 >
 > Atenciosamente,
 >
 >
 >
 >
 > --
 > Replies will be sent to the list.
 > For more information visit http://www.morphometrics.org
 >

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