Quantile {DescTools} | R Documentation |

## (Weighted) Sample Quantiles

### Description

Compute weighted quantiles (Eurostat definition).

### Usage

```
Quantile(x, weights = NULL, probs = seq(0, 1, 0.25),
na.rm = FALSE, names = TRUE, type = 7, digits = 7)
```

### Arguments

`x` |
a numeric vector. |

`weights` |
an optional numeric vector giving the sample weights. |

`probs` |
numeric vector of probabilities with values in |

`na.rm` |
a logical indicating whether missing values in |

`names` |
logical; if true, the result has a |

`type` |
an integer between 1 and 9 selecting one of the nine quantile algorithms detailed below to be used. Currently only |

`digits` |
used only when |

### Details

The implementation strictly follows the Eurostat definition.

### Value

A named numeric vector containing the weighted quantiles of values in
`x`

at probabilities `probs`

is returned.

### Author(s)

Andreas Alfons, Matthias Templ, some tweaks Andri Signorell <andri@signorell.net>

### References

Working group on Statistics on Income and Living Conditions
(2004) Common cross-sectional EU indicators based on EU-SILC; the gender pay
gap. *EU-SILC 131-rev/04*, Eurostat.

### See Also

### Examples

```
Quantile(d.pizza$temperature, rep(c(1:3), length.out=nrow(d.pizza)))
```

*DescTools*version 0.99.55 Index]