View source: R/ci_measures_of_scale.R
ci_IQR | R Documentation |
This function calculates bootstrap CIs (by default "bca") for the population interquartile range (IQR), i.e., the difference between first and third quartile.
ci_IQR(
x,
probs = c(0.025, 0.975),
type = "bootstrap",
boot_type = c("bca", "perc", "norm", "basic"),
R = 9999L,
seed = NULL,
...
)
x |
A numeric vector. |
probs |
Lower and upper probabilities, by default |
type |
Type of CI. Currently not used as the only type is |
boot_type |
Type of bootstrap CI c("bca", "perc", "norm", "basic"). |
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.
x <- rnorm(100)
ci_IQR(x, R = 999) # Use larger R
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.