winsorise {COINr} | R Documentation |

## Winsorise a vector

### Description

Follows a "standard" Winsorisation approach: points are successively Winsorised in order to bring skew and kurtosis thresholds within specified limits. Specifically, aims to bring absolute skew to below a threshold (default 2.25) and kurtosis below another threshold (default 3.5).

### Usage

```
winsorise(
x,
na.rm = FALSE,
winmax = 5,
skew_thresh = 2,
kurt_thresh = 3.5,
force_win = FALSE
)
```

### Arguments

`x` |
A numeric vector. |

`na.rm` |
Set |

`winmax` |
Maximum number of points to Winsorise. Default 5. Set |

`skew_thresh` |
A threshold for absolute skewness (positive). Default 2.25. |

`kurt_thresh` |
A threshold for kurtosis. Default 3.5. |

`force_win` |
Logical: if |

### Details

Winsorisation here is defined as reassigning the point with the highest/lowest value with the value of the
next highest/lowest point. Whether to Winsorise at the high or low end of the scale is decided by the direction
of the skewness of `x`

.

This function replaces the now-defunct `coin_win()`

from COINr < v1.0.

### Value

A list containing winsorised data, number of winsorised points, and the individual points that were treated.

### Examples

```
# numbers between 1 and 10
x <- 1:10
# two outliers
x <- c(x, 30, 100)
# winsorise
l_win <- winsorise(x, skew_thresh = 2, kurt_thresh = 3.5)
# see treated vector, number of winsorised points and details
l_win
```

*COINr*version 1.1.14 Index]