# quantile.circular: Sample Circular Quantiles In circular: Circular Statistics

## Description

The function `quantile.circular` produces sample circular quantiles corresponding to the given probabilities for a circular data set.

## Usage

 ```1 2``` ```## S3 method for class 'circular' quantile(x, probs = seq(0, 1, 0.25), na.rm=FALSE, names = TRUE, type = 7, ...) ```

## Arguments

 `x` numeric circular vector whose sample quantiles are wanted. `NA` and `NaN` values are not allowed in numeric vectors unless `na.rm` is `TRUE`. `probs` numeric vector of probabilities with values in [0,1]. (Values up to 2e-14 outside that range are accepted and moved to the nearby endpoint.) `na.rm` logical; if true, any `NA` and `NaN`'s are removed from `x` before the quantiles are computed. `names` logical; if true, the result has a `names` attribute. Set to `FALSE` for speedup with many `probs`. `type` an integer between 1 and 9 selecting one of the nine quantile algorithms detailed below to be used. `...` further arguments passed to or from other methods. Like `quantile` and so on.

## Details

A vector of length `length(probs)` is returned; if `names = TRUE`, it has a `names` attribute.

`NA` and `NaN` values in `probs` are propagated to the result.

The algorithm will proceed how described below: 1) Linearize the circular observations. 2) Calulate the linear median like type establish. 3) The value it will transformed in circular.

## Types

See description on documentation of `quantile`.

## Author(s)

Claudio Agostinelli and Alessandro Gagliardi.

## Examples

 ```1 2``` ```x <- rvonmises(1001, mu=circular(pi), kappa=5) quantile.circular(x) # Extremes & Quartiles by default ```

circular documentation built on July 4, 2017, 3 p.m.