ci_quantile_diff: CI for the Population Quantile Difference of two Samples

In confintr: Confidence Intervals

CI for the Population Quantile Difference of two Samples

Description

This function calculates bootstrap CIs for the population value of q-quantile(x) - q-quantile(y), by default using "bca" bootstrap. Resampling is done within sample.

Usage

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

Arguments

x	A numeric vector.
y	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. Currently, "bootstrap" is the only option.
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.

See Also

ci_median_diff()

Examples

x <- 10:30
y <- 1:30
ci_quantile_diff(x, y, R = 999)  # Use larger R

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