genBootIndeces: Generate a random set of bootstrap resampling indeces

In bootSVD: Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data

Description

Let n be the original sample size, p be the number of measurements per subject, and B be the number of bootstrap samples. genBootIndeces generates a (B by n) matrix containing B indexing vectors that can be used to create B bootstrap samples, each of size n.

Usage

genBootIndeces(B, n)

Arguments

B	number of desired bootstrap samples
n	size of original sample from which we'll be resampling.

Value

A (B by n) matrix of bootstrap indeces. Let bInds denote the output of getBootIndeces, and Y denote the original (p by n) sample. Then Y[,bInds[b,]] is the b^{th} bootstrap sample.

Examples

bInds<-genBootIndeces(B=50,n=200)

bootSVD documentation built on Feb. 2, 2021, 5:06 p.m.