ci_quantile: CI for a Population Quantile

In confintr: Confidence Intervals

CI for a Population Quantile

Description

This function calculates CIs for a population quantile. By default, distribution-free CIs based on the binomial distribution are calculated, see Hahn and Meeker. Alternatively, bootstrap CIs are available (default "bca").

Usage

ci_quantile(
  x,
  q = 0.5,
  probs = c(0.025, 0.975),
  type = c("binomial", "bootstrap"),
  boot_type = c("bca", "perc", "norm", "basic"),
  R = 9999L,
  seed = NULL,
  ...
)

Arguments

x	A numeric vector.
q	A single probability value determining the quantile (0.5 for median).
probs	Lower and upper probabilities, by default c(0.025, 0.975).
type	Type of CI. One of "binomial" (default), or "bootstrap".
boot_type	Type of bootstrap CI. Only used for type = "bootstrap".
R	The number of bootstrap resamples. Only used for type = "bootstrap".
seed	An integer random seed. Only used for type = "bootstrap".
...	Further arguments passed to boot::boot().

Value

An object of class "cint", see ci_mean() for details.

References

Hahn, G. and Meeker, W. (1991). Statistical Intervals. Wiley 1991.

See Also

ci_median()

Examples

x <- 1:100
ci_quantile(x, q = 0.25)

confintr documentation built on June 7, 2023, 6:24 p.m.