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confintr (version 1.0.0)

ci_sd: CI for the Population Std

Description

This function calculates CIs for the population standard deviation. They are derived from CIs for the variance by taking the square-root. For details, see ci_var.

Usage

ci_sd(
  x,
  probs = c(0.025, 0.975),
  type = c("chi-squared", "bootstrap"),
  boot_type = c("bca", "perc", "stud", "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.

probs

Lower and upper probabilities, by default c(0.025, 0.975).

type

Type of CI. One of "chi-squared" (default) or "bootstrap".

boot_type

Type of bootstrap CI ("bca", "perc", "stud", "norm", "basic"). 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().

See Also

ci_var.

Examples

Run this code
x <- 1:100
ci_sd(x)
ci_sd(x, type = "bootstrap", R = 999)  # Use larger R

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