EvolQG - An R package for evolutionary quantitative genetics.
EvolQG - An R package for evolutionary quantitative genetics.
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DOI：
10.12688/f1000research.7082.3
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Marroig G
中科院分区：
文献类型：
--
作者：
Melo D;Garcia G;Hubbe A;Assis AP;Marroig G
我们提出了一个开源包，用于在 R 环境中执行进化定量遗传学分析以进行统计计算。进化论表明，进化很大程度上取决于给定种群中可用的变异。当处理许多数量性状时，当遗传矩阵不可用并且有证据表明表型矩阵与遗传矩阵足够相似时，这种变异以协方差矩阵的形式表达，特别是加性遗传协方差矩阵或有时是表型矩阵。给定可用变异的数学表示， \textbf{EvolQG} 包提供了计算相关进化统计数据的函数；抽样误差的估计；更正此错误；通过相关性、距离和矩阵分解进行矩阵比较；模块化模式分析；以及测试类群多样化进化假设的功能。
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 and there is evidence the phenotypic matrix is sufficiently similar to the genetic matrix. Given this mathematical representation of available variation, the \textbf{EvolQG} package provides functions for calculation of relevant evolutionary statistics; estimation of sampling error; corrections for this error; matrix comparison via correlations, distances and matrix decomposition; analysis of modularity patterns; and functions for testing evolutionary hypotheses on taxa diversification.