-------- Original Message --------
Subject: RE: Sampe size reduction testing bootstrap
Date: Wed, 27 May 2009 13:07:48 -0700 (PDT)
From: Getulio Amaral <[email protected]>
To: [email protected]
References: <[email protected]>

Dear Loius,

The procedure that you want is subsamplig. See:

"Politis and Romano’s subsampling bootstrap takes samples without
replacement of size b from the original sample of size n, generally with
b < n (read “b much less than n”). Such samples are themselves
samples of size b from the true unknown distribution F of the original
sample." http://www.wepapers.com/Papers/8707/Subsampling_Bootstrap

I can implement this procedure ir R but I do not use biological programs.
The procedure can be easyly implemented.


Best wishes,
Getulio



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

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Atenciosamente,
Getulio J. A. Amaral
Departamento de Estatística
Centro de Ciências Exatas e da Natureza
Universidade Federal de Pernambuco
http://www.de.ufpe.br/~gjaa



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