WRS2: onesampb – R documentation

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onesampb

One-sample percentile bootstrap

Description

Tests whether a robust location measure (median, Huber Psi) differs from a null value and reports a 95% confidence interval based on percentile bootstrap.

Usage

onesampb(x, est = "onestep", nboot = 2000, nv = 0, alpha = 0.05)

Arguments

`x`	a numeric vector.
`est`	robust estimator to be used (`"onestep"`, `"mom"`, or `"median"`).
`nboot`	number of bootstrap samples.
`nv`	value under H0.
`alpha`	alpha level.

Value

Returns an object of class "onesampb" containing:

`ci`	95% confidence interval
`estimate`	robust location sample estimate
`p.value`	p-value
`n`	number of effective observations
`call`	function call

References

Wilcox, R. (2017). Introduction to Robust Estimation and Hypothesis Testing (4th ed.). Elsevier.

Examples

set.seed(123)
x <- rnorm(30)
onesampb(x, nboot = 100)    ## H0: Psi = 0

set.seed(123)
x <- rlnorm(30)
onesampb(x, est = "median", nv = 1)   ## H0: median = 1

WRS2

A Collection of Robust Statistical Methods

v1.1-1

GPL-3

Authors

Patrick Mair [cre, aut], Rand Wilcox [aut]

Initial release

2021-02-09