WRS2 (version 1.1-6)

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, ...)

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

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.

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