CI for the MAD — ci_mad • confintr

This function calculates bootstrap CIs (default: "bca") for the population median absolute deviation (MAD), see stats::mad() for more information.

ci_mad(
  x,
  probs = c(0.025, 0.975),
  constant = 1.4826,
  type = "bootstrap",
  boot_type = c("bca", "perc", "norm", "basic"),
  R = 9999L,
  seed = NULL,
  ...
)

Arguments

x: A numeric vector.
probs: Lower and upper probabilities, by default c(0.025, 0.975).
constant: Scaling factor applied. The default (1.4826) ensures that the MAD equals the standard deviation for a theoretical normal distribution.
type: Type of CI. Currently not used as the only type is "bootstrap".
boot_type: Type of bootstrap CI c("bca", "perc", "norm", "basic").
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.

Examples

x <- rnorm(100)
ci_mad(x, R = 999)  # Use larger R
#> 
#> 	Two-sided 95% bootstrap confidence interval for the population MAD
#> 	based on 999 bootstrap replications and the bca method
#> 
#> Sample estimate: 0.9477103 
#> Confidence interval:
#>      2.5%     97.5% 
#> 0.7345421 1.1605401 
#>