boot.samples

From InPosition v0.12.7.1 by Derek Beaton

Compute indicies for bootstrap resampling.

This function computes a set of indicies for bootstrap resampling. It can be unconstrained or bootstrap within a group design.

Keywords: Bootstrap

Usage

boot.samples(DATA, DESIGN = NULL, constrained = FALSE)

Arguments

DATA: The original data matrix to be bootstrapped. Rows will be bootstrapped and are assumed to be observations.
DESIGN: A design matrix (in disjunctive coding). Only used if constrained is TRUE.
constrained: a boolean. If TRUE, bootstrap resampling will occur within groups as designated by the DESIGN matrix.

Value

a set of indicies to be used to be used as the bootstrap resampled indices.

Examples

# NOT RUN {
	data(ep.iris)
	unconstrained.indices <- boot.samples(ep.iris$data)
	#ep.iris$data[unconstrained.indices,]
	constrained.indices <- boot.samples(ep.iris$data,DESIGN=ep.iris$design,constrained=TRUE)
	#ep.iris$data[constrained.indices,]	
# }

Documentation reproduced from package InPosition, version 0.12.7.1, License: GPL-2

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