boot.samples

The original data matrix to be bootstrapped. Rows will be bootstrapped and are assumed to be observations.

DATA

A design matrix (in disjunctive coding). Only used if <code>constrained</code> is TRUE.

DESIGN

a boolean. If TRUE, bootstrap resampling will occur within groups as designated by the <code>DESIGN</code> matrix.

constrained

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

 Bootstrap

Non-parametric resampling-based inference tests for ExPosition.

Derek Beaton

InPosition

Inference Tests for ExPosition

boot.samples function

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

Arguments

Author

Compute indicies for bootstrap resampling. — boot.samples

<dl>

 <dt>DATA</dt>
<dd>The original data matrix to be bootstrapped. Rows will be bootstrapped and are assumed to be observations.</dd>

 <dt>DESIGN</dt>
<dd>A design matrix (in disjunctive coding). Only used if <code>constrained</code> is TRUE.</dd>

 <dt>constrained</dt>
<dd>a boolean. If TRUE, bootstrap resampling will occur within groups as designated by the <code>DESIGN</code> matrix.</dd>

</dl>

boot.samples: Compute indicies for bootstrap resampling.

Description

Usage

Value

Arguments

Author

See Also

Examples