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confintr (version 1.0.0)

ci_quantile_diff: 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,
  ...
)

Value

An object of class "cint" containing these components:

  • parameter: Parameter specification.

  • interval: CI for the parameter.

  • estimate: Parameter estimate.

  • probs: Lower and upper probabilities.

  • type: Type of interval.

  • info: Additional description.

Arguments

x

A numeric vector.

y

A numeric vector.

q

A single probability value determining the quantile. Set to 0.5 for the median (default).

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 ("bca", "perc", "norm", "basic").

R

The number of bootstrap resamples.

seed

An integer random seed.

...

Further arguments passed to boot::boot().

See Also

ci_median_diff.

Examples

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

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