outly {doex} | R Documentation |

## Outlier generation function

### Description

This function generates the outlier(s) by Interquantile range approach.

### Usage

```
outly(ndata,noutlier,meand,vard,dif,alpha,normality.status,skewn.status)
```

### Arguments

`ndata` |
sample size of the data without outlier(s). |

`noutlier` |
number of outlier(s) in data. |

`meand` |
mean of the data. |

`vard` |
variance of the data. |

`dif` |
distance level of outlier(s) from the whiskers. |

`alpha` |
significance level for the normality test. |

`normality.status` |
a logical operator controls the normality of data with outlier. "TRUE" for normal and "FALSE" for non-normal |

`skewn.status` |
a logical operator controls the skewness of the data with outlier. "0" for symmetric, "1" for right-skewed and "-1" for left-skewed. |

### Value

`data` |
the vector contains the generated data with outlier(s) |

`outlier` |
the vector contains the generated outlier(s) |

`normality.test` |
the result of the Shapiro-Wilk normality test for the generated data |

### Author(s)

Mustafa CAVUS

### References

Alexander, R.A., Govern, D.M. (1994) A new and simplier approximation for ANOVA under variance heterogeneity, Journal of Educational Statistics, 19(2), 91-101.

### Examples

```
library(doex)
outly(8,2,2,0.05,FALSE)
```

*doex*version 1.2 Index]