RT Journal Article
SR Electronic
T1 EvolQG - An R package for evolutionary quantitative genetics
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 026518
DO 10.1101/026518
A1 Diogo Melo
A1 Guilherme Garcia
A1 Alex Hubbe
A1 Ana Paula Assis
A1 Gabriel Marroig
YR 2015
UL http://biorxiv.org/content/early/2015/09/11/026518.abstract
AB We present an open source package for performing evolutionary quantitative genetics analyses in the R environment for statistical computing. Evolutionary theory shows that evolution depends critically on the available variation in a given population. When dealing with many quantitative traits this variation is expressed in the form of a covariance matrix, particularly the additive genetic covariance matrix or sometimes the phenotypic matrix, when the genetic matrix is unavailable. Given this mathematical representation of available variation, the EvolQG package provides functions for calculation of relevant evolutionary statistics, estimation of sampling error, corrections for this error, matrix comparison via correlations and distances, and functions for testing evolutionary hypotheses on taxa diversification.