ci_var: CI for the Population Variance

In confintr: Confidence Intervals

CI for the Population Variance

Description

This function calculates CIs for the population variance.

Usage

ci_var(
  x,
  probs = c(0.025, 0.975),
  type = c("chi-squared", "bootstrap"),
  boot_type = c("bca", "perc", "stud", "norm", "basic"),
  R = 9999L,
  seed = NULL,
  ...
)

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. 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().

Details

By default, classic CIs are calculated based on the chi-squared distribution, assuming normal distribution (see Smithson). Bootstrap CIs are also available (default: "bca"). We recommend them for the non-normal case.

The stud (bootstrap t) bootstrap uses the standard error of the sample variance given in Wilks.

Value

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

References

1. Smithson, M. (2003). Confidence intervals. Series: Quantitative Applications in the Social Sciences. New York, NY: Sage Publications.

2. S.S. Wilks (1962), Mathematical Statistics, Wiley & Sons.

See Also

ci_sd()

Examples

x <- 1:100
ci_var(x)
ci_var(x, type = "bootstrap", R = 999)  # Use larger R

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