R: Bootstrap simulations

randboot {ade4}

R Documentation

Bootstrap simulations

Description

Functions and classes to manage outputs of bootstrap simulations for one (class randboot) or several (class krandboot) statistics

Usage

as.krandboot(obs, boot, quantiles = c(0.025, 0.975), names =
colnames(boot), call = match.call())
## S3 method for class 'krandboot'
print(x, ...)
as.randboot(obs, boot, quantiles = c(0.025, 0.975), call = match.call())
## S3 method for class 'randboot'
print(x, ...)
randboot(object, ...)

Arguments

`obs`	a value (class `randboot`) or a vector (class `krandboot`) with observed statistics
`boot`	a vector (class `randboot`) or a matrix (class `krandboot`) with the bootstrap values of the statistics
`quantiles`	a vector indicating the lower and upper quantiles to compute
`names`	a vector of names for the statistics
`call`	the matching call
`x`	an object of class `randboot` or `krandboot`
`object`	an object on which bootstrap should be perform
`...`	other arguments to be passed to methods

Value

an object of class randboot or krandboot

Author(s)

St\'ephane Dray (stephane.dray@univ-lyon1.fr)

References

Carpenter, J. \& Bithell, J. (2000) Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians.Statistics in medicine, 19, 1141-1164

Examples

## an example corresponding to 10 statistics and 100 repetitions
bt <- as.krandboot(obs = rnorm(10), boot = matrix(rnorm(1000), nrow = 100))
bt
if(adegraphicsLoaded())
plot(bt)

[Package ade4 version 1.7-4 Index]