Samples randomly from the elements of object
with replacement.
Value
If f
is not NULL
, bootstrap()
returns the result of f
applied to
the n
values of do
.
If f
is NULL
, bootstrap()
returns a named numeric
vector
with the
following elements:
original
The observed value of
do
applied toobject
.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
.
See also
Other resampling methods:
jackknife()
Examples
x <- rnorm(20)
## Bootstrap
bootstrap(x, do = mean, n = 100)
#> original mean bias error
#> -0.28444499 -0.30284027 -0.01839528 0.20503700
## 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)
#> 25% 75%
#> -0.3676167 -0.1323866
## Jackknife
jackknife(x, do = mean) # Sample mean
#> original mean bias error
#> -0.2844450 -0.2844450 0.0000000 0.2277085