simpleboot (version 0.1-4)

one.boot: One sample bootstrap of a univariate statistic.

Description

one.boot is used for bootstrapping a univariate statistic for one sample problems. Examples include the mean, median, etc.

Usage

one.boot(data, FUN, R, student = FALSE, M, weights = NULL, ...)

Arguments

data

The data. This should be a vector of numbers.

FUN

The statistic to be bootstrapped. This can be either a quoted string containing the name of a function or simply the function name.

R

The number of bootstrap replicates to use.

student

Should we do a studentized bootstrap? This requires a double bootstrap so it might take longer.

M

If student is set to TRUE, then M is the number of internal bootstrap replications to do.

weights

Resampling weights; a vector of length equal to the number of observations.

...

Other (named) arguments that should be passed to FUN.

Value

• An object of class "uclaboot", which is almost identical to the regular "boot" object. For example, the boot.ci function can be used on this object.

Examples

set.seed(20)
x <- rgamma(100, 1)
b.mean <- one.boot(x, mean, 1000)
print(b.mean)
boot.ci(b.mean)  ## No studentized interval here
hist(b.mean)

## This next line could take some time on a slow computer
b.median <- one.boot(x, median, R = 500, student = TRUE, M = 50)
boot.ci(b.median)
hist(b.median)

## Bootstrap with weights
set.seed(10)
w <- runif(100)
bw <- one.boot(x, median, 1000, weights = w)
print(bw)

## Studentized
bw.stud <- one.boot(x, median, R = 500, student = TRUE, M = 50,
                    weights = w)
boot.ci(bw.stud, type = "stud")