BootstrapR2: R2 confidence intervals by bootstrap resampling

In evolqg: Evolutionary Quantitative Genetics

R2 confidence intervals by bootstrap resampling

Description

Random populations are generated by resampling the suplied data or residuals. R2 is calculated on all the random population's correlation matrices, provinding a distribution based on the original data.

Usage

BootstrapR2(ind.data, iterations = 1000, parallel = FALSE)

Arguments

ind.data	Matrix of residuals or indiviual measurments
iterations	Number of resamples to take
parallel	if TRUE computations are done in parallel. Some foreach backend must be registered, like doParallel or doMC.

Value

returns a vector with the R2 for all populations

Author(s)

Diogo Melo Guilherme Garcia

See Also

BootstrapRep, AlphaRep

Examples

r2.dist <- BootstrapR2(iris[,1:4], 30)
quantile(r2.dist)

evolqg documentation built on Aug. 8, 2023, 5:12 p.m.