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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. For details, 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" containing these components:
parameter: Parameter specification.
parameter
interval: CI for the parameter.
interval
estimate: Parameter estimate.
estimate
probs: Lower and upper probabilities.
probs
type: Type of interval.
type
info: Additional description.
info
A numeric vector.
Lower and upper probabilities, by default c(0.025, 0.975).
Type of CI. One of "chi-squared" (default) or "bootstrap".
"chi-squared"
"bootstrap"
Type of bootstrap CI ("bca", "perc", "stud", "norm", "basic"). 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()
ci_var.
x <- 1:100 ci_sd(x) ci_sd(x, type = "bootstrap", R = 999) # Use larger R
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