BootstrapR2 function

R2 confidence intervals by bootstrap resampling

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.

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.

Returns

returns a vector with the R2 for all populations

Examples

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

See Also

BootstrapRep, AlphaRep

Author(s)

Diogo Melo Guilherme Garcia