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.
See Also
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,]
# }
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