evolqg: MeanMatrixStatistics – R documentation

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MeanMatrixStatistics

Calculate mean values for various matrix statistics

Description

Calculates: Mean Squared Correlation, ICV, Autonomy, ConditionalEvolvability, Constraints, Evolvability, Flexibility, Pc1Percent, Respondability.

Usage

MeanMatrixStatistics(
  cov.matrix,
  iterations = 1000,
  full.results = F,
  parallel = FALSE
)

Arguments

`cov.matrix`	A covariance matrix
`iterations`	Number of random vectors to be used in calculating the stochastic statistics
`full.results`	If TRUE, full distribution of statistics will be returned.
`parallel`	if TRUE computations are done in parallel. Some foreach backend must be registered, like doParallel or doMC.

Value

dist Full distribution of stochastic statistics, only if full.resuts == TRUE

mean Mean value for all statistics

Author(s)

Diogo Melo Guilherme Garcia

References

Hansen, T. F., and Houle, D. (2008). Measuring and comparing evolvability and constraint in multivariate characters. Journal of evolutionary biology, 21(5), 1201-19. doi:10.1111/j.1420-9101.2008.01573.x

Examples

cov.matrix <- cov(iris[,1:4])
MeanMatrixStatistics(cov.matrix)

#Multiple threads can be used with some foreach backend library, like doMC or doParallel
#library(doParallel)
##Windows:
#cl <- makeCluster(2)
#registerDoParallel(cl)
##Mac and Linux:
#registerDoParallel(cores = 2)
#MeanMatrixStatistics(cov.matrix, parallel = TRUE)

evolqg

Tools for Evolutionary Quantitative Genetics

v0.2-8

MIT + file LICENSE

Authors

Ana Paula Assis, Diogo Melo, Edgar Zanella, Fabio Andrade Machado, Guilherme Garcia

Initial release

2020-11-14