randboot: 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 krandboot
print(x, ...)
as.randboot(obs, boot, quantiles = c(0.025, 0.975), call = match.call())
# S3 method for 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

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

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

Run this code

# NOT RUN {
## 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) 

# }