Rsqr.sims: Simulate community data for testing R squares

In pr2: Predictive R-squared

Description

Simulate community data for testing R squares

Usage

  Rsqr.sims(n = 100, m = 10, p = 10, sigmaE = 1,
    sigmaB = 1, mu = 0,
    cmt = cor(matrix(rnorm(p * (p + 1)), p + 1, p)),
    cmv = cmt,
    B = matrix(rnorm(m * p, mean = mu, sd = sigmaB), p, m),
    hell = TRUE, untr = TRUE)

Arguments

n	Number of sites
m	Number of species
p	Number of environmental variables
sigmaE	Standard deviation of the error term
sigmaB	Standard deviation of the coefficients relating species to environment
mu	Mean of the coefficients relating species to environment
cmt	Correlation matrix of the environmental variables in the training set
cmv	Correlation matrix of the environmental variables in the validation set
B	p by m matrix of coefficients relating species to environment
hell	Should the Hellinger transformed results be returned?
untr	Should untransformed results be returned?

Value

A vector with the sample, adjusted, predictive, and validation set R-squares. If both hell and untr are TRUE, then the vector contains 8 values.

See Also

Other sims: rep.Rsqr.sims

pr2 documentation built on May 2, 2019, 6:12 p.m.