----- Forwarded message from "F. James Rohlf" -----

Date: Tue, 27 Nov 2012 11:55:21 -0500
From: "F. James Rohlf"
Reply-To: ro...@life.bio.sunysb.edu
Subject: RE: UPGMA: Euclidean and Procrustes distances
To: morphmet@morphometrics.org

The last comment is important. It is not sufficient to simply apply any clustering method and just look at the resulting dendrogram. One needs to use some method to determine how well the dendrogram actually fits the data. One cannot tell be just looking at the dendrogram. For example, UPGMA is not expected to work well on data unless there actually are clusters in the data (there even has to be nested clusters of clusters) and thus it is not always an appropriate method.

 

----------------------

F. James Rohlf, John S. Toll Professor, Stony Brook University

The much revised 4th editions of Biometry and Statistical Tables are now available:

http://www.whfreeman.com/Catalog/product/biometry-fourthedition-sokal

http://www.whfreeman.com/Catalog/product/statisticaltables-fourthedition-rohlf

Please consider the environment before printing this email

 

 

From: morphmet_modera...@morphometrics.org [mailto:morphmet_modera...@morphometrics.org]
Sent: Tuesday, November 27, 2012 2:17 AM
To: morphmet@morphometrics.org
Subject: Re: UPGMA: Euclidean and Procrustes distances

 


----- Forwarded message from morphmet_modera...@morphometrics.org -----

Date: Sun, 25 Nov 2012 16:54:27 -0800
From: morphmet_modera...@morphometrics.org
Reply-To: morphmet_modera...@morphometrics.org
Subject: Re: UPGMA: Euclidean and Procrustes distances
To: morphmet@morphometrics.org


----- Forwarded message from Carlos Eduardo R D Alencar -----

Date: Sat, 24 Nov 2012 11:36:40 -0500
From: Carlos Eduardo R D Alencar
Reply-To: Carlos Eduardo R D Alencar
Subject: Re: UPGMA: Euclidean and Procrustes distances
To: morphmet@morphometrics.org

Dear Rodrigo,

Good question. That was one of the doubts that I had in mind and were well clarified. My use was to check similarities between groups of crabs in different species and locations.
Well, in a second time you might want to check what the best method of biding grouping (clustering).  I would like to leave a tip, according to analyzes already performed by me (in several aspects) morphological, ecological (communities) and etc. ... UPGMA method was not very well. My assessment is based on two coefficients (cophenetic correlation coefficient and aglomeration coefficient). Maybe you want to test them before using the UPGMA.

Cheers
Carlos

 

On Mon, Nov 19, 2012 at 6:41 PM, <morphmet_modera...@morphometrics.org> wrote:

 


----- Forwarded message from Rodrigo Lima -----

Date: Mon, 19 Nov 2012 10:46:37 -0500


From: Rodrigo Lima
Reply-To: Rodrigo Lima

Subject: RE: UPGMA: Euclidean and Procrustes distances
To: "morphmet@morphometrics.org"

Dear Andrea, Oyvind, and Philipp,

Thank you very much for your answers, they totally clarified my doubts.

Best wishes,
Rodrigo


From: morphmet_modera...@morphometrics.org [morphmet_modera...@morphometrics.org]
Sent: November 18, 2012 1:40 AM
To: morphmet@morphometrics.org


Subject: Re: UPGMA: Euclidean and Procrustes distances

 


----- Forwarded message from Philipp Mitteröcker -----

Date: Fri, 16 Nov 2012 11:18:49 -0500
From: Philipp Mitteröcker
Reply-To: Philipp Mitteröcker
Subject: Re: UPGMA: Euclidean and Procrustes distances
To: morphmet@morphometrics.org

Euclidean distances are equal to Procrustes distances in tangent space, so they are close enough to the original Procrustes distances.

 

Best,

 

Philipp 

 

 

 

 

Am 15.11.2012 um 20:32 schrieb morphmet_modera...@morphometrics.org:




----- Forwarded message from Rodrigo Lima -----

Date: Thu, 15 Nov 2012 12:21:28 -0500
From: Rodrigo Lima 
Reply-To: Rodrigo Lima 
Subject: UPGMA: Euclidean and Procrustes distances
To: "morphmet@morphometrics.org

Dear morphometricians,

 

I would greatly appreciate your input on this matter:

 

The context: I am studying 9 populations of a small rodent species and I wanted to represent morphological relationships between populations using a UPGMA cluster analysis.

 

The problem:  I used the mean population shapes (Procrustes coordinates) to do this analysis in PAST using Euclidean distances and got a nice tree with bootstrap values, but there is no option for using Procrustes distances in this package. I get the same topology using Procrustes distances with R, but I can’t get the bootstrap values on the nodes of the tree.

 

The questions:

1 - Are UPGMA analyses using Euclidean distances and Procrustes distances equivalent?

2 - Is there any package in which I could simply enter the Procrustes distances and get a UPGMA tree with bootstrap values?

 

Thank you in advance,

Rodrigo



----- End forwarded message -----

 

 

 

___________________________________

 

Dr. Philipp Mitteroecker

Department of Theoretical Biology
University of Vienna
Althanstrasse 14
A-1090 Vienna, Austria

Tel: +43 1 4277 56705
Fax: +43 1 4277 9544
email: philipp.mitteroec...@univie.ac.at
homepage: http://theoretical.univie.ac.at/people/mitteroecker

 



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--
Carlos Eduardo R. D. Alencar
Biólogo, Msc.

carlosce2...@gmail.com

Bolsista CAPES - Programa de Pós-graduação em Ecologia - PPGE
Grupo de Estudos em Ecologia e Fisiologia de Animais Aquáticos - GEEFAA [www.geefaa.com]

Departamento de Botânica, Ecologia e Zoologia - DBEZ
Universidade Federal do Rio Grande do Norte - UFRN

 



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