jackknife: One sample jackknife

In resample: Resampling Functions

One sample jackknife

Description

Basic resampling. Supply the data and statistic to resample.

Usage

jackknife(data, statistic, args.stat = NULL,
          label = NULL, statisticNames = NULL, trace = FALSE)

Arguments

data	vector, matrix, or data frame.
statistic	a function, or expression (e.g. mean(myData, trim = .2).
args.stat	a list of additional arguments to pass to statistic, if it is a function.
label	used for labeling plots (in a future version).
statisticNames	a character vector the same length as the vector returned by statistic.
trace	logical, if TRUE an indication of progress is printed.

Value

a list with class "jackknife" that inherits from "resample", with components:

observed	the value of the statistic for the original data.
replicates	a matrix with R rows and p columns.
n	number of observations in the original data, or vector of length 2 in two-sample problems.
p	length(observed).
R	number of replications.
seed	the value of the seed at the start of sampling.
call	the matched call.
statistics	a data frame with p rows, with columns "observed", "mean" (the mean of the replicates), and other columns appropriate to resampling; e.g. the bootstrap objects have columns "SE" and "Bias", while the permutation test objects have "Alternative" and "PValue".

There are functions for printing and plotting these objects, in particular print, plot, hist, qqnorm, quantile.

Note

The current version only handles a single sample.

Author(s)

Tim Hesterberg [e-mail],
https://www.timhesterberg.net/bootstrap-and-resampling

See Also

resample-package.

Examples

# See full set of examples in resample-package
data(Verizon)
CLEC <- with(Verizon, Time[Group == "CLEC"])
jackknife(CLEC, mean)

resample documentation built on June 13, 2022, 5:08 p.m.