bootstrap {arkhe} | R Documentation |
Samples randomly from the elements of object
with replacement.
bootstrap(object, ...)
## S4 method for signature 'numeric'
bootstrap(object, do, n, ..., f = NULL)
object |
A |
... |
Extra arguments to be passed to |
do |
A |
n |
A non-negative |
f |
A |
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
.
N. Frerebeau
Other resampling methods:
jackknife()
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 })