BootstrapR2: R2 confidence intervals by bootstrap resampling

Description Usage Arguments Value Author(s) See Also Examples

View source: R/BootstrapRep.R

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

1
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

1
2
r2.dist <- BootstrapR2(iris[,1:4], 30)
quantile(r2.dist)

evolqg documentation built on May 30, 2017, 1:52 a.m.

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