View source: R/ci_measures_of_scale.R

ci_mad | R Documentation |

This function calculates bootstrap CIs (default: "bca") for the population median
absolute deviation (MAD), see `stats::mad()`

for more information.

```
ci_mad(
x,
probs = c(0.025, 0.975),
constant = 1.4826,
type = "bootstrap",
boot_type = c("bca", "perc", "norm", "basic"),
R = 9999L,
seed = NULL,
...
)
```

`x` |
A numeric vector. |

`probs` |
Lower and upper probabilities, by default |

`constant` |
Scaling factor applied. The default (1.4826) ensures that the MAD equals the standard deviation for a theoretical normal distribution. |

`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_mad(x, R = 999) # Use larger R
```

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