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This function calculates CIs for the population standard deviation. They are derived from CIs for the variance by taking the square-root, see ci_var().
ci_var()
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, ... )
An object of class "cint", see ci_mean() for details.
ci_mean()
A numeric vector.
Lower and upper probabilities, by default c(0.025, 0.975).
c(0.025, 0.975)
Type of CI. One of "chi-squared" (default) or "bootstrap".
"chi-squared"
"bootstrap"
Type of bootstrap CI. Only used for type = "bootstrap".
type = "bootstrap"
The number of bootstrap resamples. Only used for type = "bootstrap".
An integer random seed. Only used for type = "bootstrap".
Further arguments passed to boot::boot().
boot::boot()
x <- 1:100 ci_sd(x) ci_sd(x, type = "bootstrap", R = 999) # Use larger R
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