ci_quantile_diff {confintr} | R Documentation |
CI for the Population Quantile Difference of two Samples
Description
This function calculates bootstrap CIs for the population value of q-quantile(x) - q-quantile(y), by default using "bca" bootstrap. Resampling is done within sample.
Usage
ci_quantile_diff(
x,
y,
q = 0.5,
probs = c(0.025, 0.975),
type = "bootstrap",
boot_type = c("bca", "perc", "norm", "basic"),
R = 9999L,
seed = NULL,
...
)
Arguments
x |
A numeric vector. |
y |
A numeric vector. |
q |
A single probability value determining the quantile (0.5 for median). |
probs |
Lower and upper probabilities, by default |
type |
Type of CI. Currently, "bootstrap" is the only option. |
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 |
Value
An object of class "cint", see ci_mean()
for details.
See Also
Examples
x <- 10:30
y <- 1:30
ci_quantile_diff(x, y, R = 999) # Use larger R
[Package confintr version 1.0.2 Index]