R help - Sep 2012 - binary data

Dear list, 

Hello to everybody, I´m interested in finding a package for statistical analysis
of binary data, I have a matrix with the following structure:

Case1 Case2 Case 3 ....... CaseX Control1 Control2 Control3 ....... ControlY 
Pep1 1 0 1 1 0 0 0 1 
Pep2 1 1 1 1 1 0 0 1 
Pep3 0 1 1 1 1 0 0 1 
... 
Pepz 1 1 1 1 1 0 0 1 

I would like to know some R package to calculte similarity matrix or to make
some statistical diferences between cases and controls
Any help it would be very appreciated 

BW 

Juan 

--------------------------------------------------------------- 
Juan Fernandez Tajes, ph. D 
Grupo XENOMAR 
Departamento de Biología Celular y Molecular 
Facultad de Ciencias-Universidade da Coruña 
Tlf. +34 981 167000 ext 2030 
e-mail: jfernandezt@udc.es 
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This is a pretty vague question. Ecologists work quite a bit with distance
matrices and binary data. You will find some options in packages vegan and
ecodist for example. I'm sure there are many others

----------------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77843-4352

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Juan Fern?ndez Tajes
> Sent: Tuesday, September 04, 2012 3:19 AM
> To: r-help at r-project.org
> Subject: [R] binary data
> 
> Dear list,
> 
> Hello to everybody, IB4m interested in finding a package for
> statistical analysis of binary data, I have a matrix with the following
> structure:
> 
> Case1 Case2 Case 3 ....... CaseX Control1 Control2 Control3 .......
> ControlY
> Pep1 1 0 1 1 0 0 0 1
> Pep2 1 1 1 1 1 0 0 1
> Pep3 0 1 1 1 1 0 0 1
> ...
> Pepz 1 1 1 1 1 0 0 1
> 
> I would like to know some R package to calculte similarity matrix or to
> make some statistical diferences between cases and controls
> Any help it would be very appreciated
> 
> BW
> 
> Juan
> 
> ---------------------------------------------------------------
> Juan Fernandez Tajes, ph. D
> Grupo XENOMAR
> Departamento de BiologC-a Celular y Molecular
> Facultad de Ciencias-Universidade da CoruC1a
> Tlf. +34 981 167000 ext 2030
> e-mail: jfernandezt at udc.es
> ----------------------------------------------------------------
> 
> 
> 
> 	[[alternative HTML version deleted]]