
Erik OtárolaCastillo  SOFTWARE Harvard Fellow Department of Human Evolutionary Biology, Harvard University Iowa State University
Department of Human Evolutionary Biology Email: eotarolacastillo@fas.harvard.edu
Below you can find software programs which I have written (in R) to conduct methods I developed or implemented. Programs are freely available to the scientific community. These programs have been tested and debugged but I cannot gurantee that they are completely bug free. If errors are found, please contact me.
geomorph: Geometric morphometric analysis of 2d/3d landmark data "geomorph" is an R package containing programs to read, manipulate, and digitize landmark data; generate shape variables via Procrustes analysis for points, curves and surface data, perform statistical analyses of shape variation and covariation, and provide graphical depictions of shapes and patterns of shape variation. Geomorph can be downloaded freely from the Comprehensive R Archive Network (CRAN).
Please cite: Adams Dean C. and Erik OtárolaCastillo 2012, Package 'geomorph': Geometric morphometric analysis of 2d/3d landmark data. R package version 1.0
Ontogenetic Allometry Trajectory Significance Test Program to conduct significance testing of ontogeneticallometry trajectories using residual randomization and withinage category sample size bootstrap (implementing work in, Anderson, M. J., and C. J. F. Ter Braak, 2003; Collyer, M. L., and D. C. Adams. 2007; Piras, P., P. Colangelo, D.C. Adams, A. Buscalioni, J. Cubo, T. Kotsakis, C. Meloro, and P. Raia. 2010; KP McNulty, SR Frost, DS Strait 2006).
Multivariate: 2Block Partial LS and Ordinations General programs I wrote to conduct 2Block Partial Least Squares (from Rohlf and Corti 2000 systematic biology), Principal Components Analysis, Principal Coordinates Analysis, Correspondence Analysis, Canonical Correspondence Analysis, and Redundancy Analysis.
Major Axis Regression Program to calculate slope of major axis regression using the variance covariance matrix of x and y. Can include W matrix for Phylogenetic correction
Multivariate ttest (parametric and by permutation) Program to conduct a Multivariate ttest (Hotelling's T^2). Code includes traditional paramteric test with examples, and its non parametric counterpart under permutation.
Rarefaction As the size of sampling units increase, so do the number of taxa. The rarefaction method (Sanders 1968, Hulbert 1971) can be used to assess whether diversity comparison between samples of varying sizes is possible. This R program operationalizes rarefaction and provides an example.
Speedy Permutation Test Program to conduct simple (univariate) permutation test between 2 groups. Two versions, in "for loop" and a spedier version. Dataset: Difference in means of some trait (1:50) between 2 populations (A,B)
Genetic Drift Illustration R program illustrates Genetic Drift in a population. "Real Time" plot shows the change in the frequency of two alleles in a population over several generations due to random sampling.
© 2012 Erik OtárolaCastillo Web Design by Erik OtárolaCastillo 