View source: R/ci_measures_of_location.R

ci_quantile | R Documentation |

This function calculates CIs for a population quantile. By default, distribution-free CIs based on the binomial distribution are calculated, see Hahn and Meeker. Alternatively, bootstrap CIs are available (default "bca").

```
ci_quantile(
x,
q = 0.5,
probs = c(0.025, 0.975),
type = c("binomial", "bootstrap"),
boot_type = c("bca", "perc", "norm", "basic"),
R = 9999L,
seed = NULL,
...
)
```

`x` |
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. One of "binomial" (default), or "bootstrap". |

`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.

Hahn, G. and Meeker, W. (1991). Statistical Intervals. Wiley 1991.

`ci_median()`

```
x <- 1:100
ci_quantile(x, q = 0.25)
```

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