MeanMatrixStatistics {evolqg}

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 = FALSE,
  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)

## Not run: 
#Multiple threads can be used with some foreach backend library, like doMC or doParallel
library(doMC)
registerDoMC(cores = 2)
MeanMatrixStatistics(cov.matrix, parallel = TRUE)

## End(Not run)