----- Forwarded message from Joseph Kunkel  -----

     Date: Wed, 31 Oct 2012 19:46:05 -0400
      From: Joseph Kunkel 
      Reply-To: Joseph Kunkel 
      Subject: Re: Subject: New Morphometrics Software for R
      To: [email protected]

Will the CRAN binaries for GeoMorph  be available in the near future?

-·.  .· ·.  .><((((º>·.  .· ·.  .><((((º>·.  .· ·.  .><((((º> .··.· >=-       
=º}}}}}><
Joseph G. Kunkel, Emeritus Professor
Biology Department
University of Massachusetts Amherst
Amherst MA 01003
http://www.bio.umass.edu/biology/kunkel/

On Oct 31, 2012, at 7:22 PM, [email protected] wrote:

> 
> ----- Forwarded message from [email protected] -----
> 
>     Date: Mon, 29 Oct 2012 22:27:41 -0700
>      From: [email protected]
>      Reply-To: [email protected]
>      Subject: Subject: New Morphometrics Software for R
>      To: [email protected]
> 
> ----- Forwarded message from Dean Adams  -----
> 
> Date: Mon, 29 Oct 2012 14:29:17 -0400
> From: Dean Adams 
> Reply-To: Dean Adams 
> Subject: Subject: New Morphometrics Software for R
> To: "[email protected]" 
> 
> Hello all,
> 
> We are happy to announce the release of GeoMorph: a morphometrics 
> package in R for the collection and analysis of landmark-based geometric 
> morphometric data. It is available on the CRAN package website. 
> 
> Geomorph provides routines for all stages of a geometric morphometric 
> analysis in two and three-dimensions. It allows one to read, manipulate, 
> and digitize 2D and 3D landmark data, generate shape variables via 
> Procrustes analysis for points, curves and surfaces, perform statistical 
> analyses of shape variation and covariation, and provide graphical 
> depictions of shapes and patterns of shape variation. Geomorph follows 
> the data structures previously utilized in R in the 'shapes' package as 
> well as in J. Claude's book 'Morphometrics with R'. 
> 
> There are two important components of geomorph that we emphasize. First, 
> geomorph allows GPA of both landmarks and semilandmarks for 2D and 3D 
> data. As such, data from points, curves, and surfaces may be combined 
> and used in a geometric morphometric shape analysis. Second, geomorph 
> allows digitization from 3D surface scans directly in R (one can also 
> read in existing data).  Thus, one may use the R environment for all 
> stages of a geometric morphometric analysis. 
> 
> Here is a list of some general features of the present version of geomorph:
> 
> 1: Data Collection
> - read tps files
> - read nts files
> - read Morphologika files
> - read ply files
> - read vrml files
> - estimate missing landmarks using the Bending Energy approach
> - digitize points, curves, and surface landmarks from 3D surface scans
> - digitize 2D points from images
> - various data manipulation routines (for data read into R via other 
> means, and for exporting geomorph results)
> 
> 2: Shape Variable Generation
> - GPA of landmarks (points) and semilandmarks (curve and surface points) 
> using bending energy of Procrustes distance minimization
> 
> 3: Statistical Analyses
> - Procrustes Anova/Regression
> - Analysis of vectors and trajectories of phenotypic change
> - Modularity analyses (both PLS and RV approaches)
> - Assessment of phylogenetic signal
> 
> *NOTE: R already has MANOVA, regression, PLS capabilities, so shape data 
> obtained from geomorph can simply be included in this analysis pipeline
> 
> 3: Visualization
> - GPA scatterplots
> - Shape differences between specimens (deformation grids, landmark 
> displacements)
> - Scatterplot of shapes in tangent space
> - Allometry plots using several current approaches (CAC, regression 
> scores, predicted regression lines)
> - Plotting phenotypic trajectories
> - Plotting phylogenies in tangent space
> 
> Over time we will incorporate additional routines in geomorph to enhance 
> its flexibility. 
> 
> Dean Adams and Erik Otarola-Castillo
> 
> -- 
> Dr. Dean C. Adams
> Professor
> Department of Ecology, Evolution, and Organismal Biology
> Department of Statistics
> Iowa State University
> Ames, Iowa
> 50011
> www.public.iastate.edu/~dcadams/
> phone: 515-294-3834
> 
> ----- End forwarded message -----
> 
> ----- End forwarded message -----

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


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