bootstrap: Bootstrap Estimation

In arkhe: Tools for Cleaning Rectangular Data

Bootstrap Estimation

Description

Samples randomly from the elements of object with replacement.

Usage

bootstrap(object, ...)

## S4 method for signature 'numeric'
bootstrap(object, do, n, ..., f = NULL)

Arguments

object	A numeric vector.
...	Extra arguments to be passed to do.
do	A function that takes object as an argument and returns a single numeric value.
n	A non-negative integer giving the number of bootstrap replications.
f	A function that takes a single numeric vector (the result of do) as argument.

Value

If f is NULL (the default), bootstrap() returns a named numeric vector with the following elements:

original

The observed value of do applied to object.

mean

The bootstrap estimate of mean of do.

bias

The bootstrap estimate of bias of do.

error

he bootstrap estimate of standard error of do.

If f is a function, bootstrap() returns the result of f applied to the n values of do.

Author(s)

N. Frerebeau

See Also

Other resampling methods: jackknife()

Examples

x <- rnorm(20)

## Bootstrap
bootstrap(x, do = mean, n = 100)

## Estimate the 25th and 95th percentiles
quant <- function(x) { quantile(x, probs = c(0.25, 0.75)) }
bootstrap(x, n = 100, do = mean, f = quant)

## Get the n bootstrap values
bootstrap(x, n = 100, do = mean, f = function(x) { x })

## Jackknife
jackknife(x, do = mean) # Sample mean

## Get the leave-one-out values instead of summary
jackknife(x, do = mean, f = function(x) { x })

arkhe documentation built on April 4, 2025, 2:34 a.m.