View source: R/ci_measures_of_scale.R
ci_sd | R Documentation |
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_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,
...
)
x |
A numeric vector. |
probs |
Lower and upper probabilities, by default |
type |
Type of CI. One of |
boot_type |
Type of bootstrap CI. Only used for |
R |
The number of bootstrap resamples. Only used for |
seed |
An integer random seed. Only used for |
... |
Further arguments passed to |
An object of class "cint", see ci_mean()
for details.
ci_var()
x <- 1:100
ci_sd(x)
ci_sd(x, type = "bootstrap", R = 999) # Use larger R
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