onesampb: One-sample percentile bootstrap

In WRS2: A Collection of Robust Statistical Methods

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.
...	currently ignored.

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.

See Also

t1way

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 documentation built on Nov. 2, 2023, 6:25 p.m.