randboot: Bootstrap Resampling

In apricom: Tools for the a Priori Comparison of Regression Modelling Strategies

Description

Generate a dataset from a given dataset using sampling with or without replacement.

Usage

randboot(dataset, n, replace = TRUE)

Arguments

dataset	a p x m data matrix.
n	the number of rows of observations to be included in the new dataset.
replace	logical. If replace is TRUE sampling will be with replacement, thus returning a bootstrap replicate.

Details

This function is a simple shortcut for generating a bootstrap sample. It was originally designed for use within the comparison framework, but can be used as a stand-alone function.

Value

The function returns a new n x m matrix. The default is a bootstrap replicate of the orginal data.

apricom documentation built on May 2, 2019, 6:21 a.m.