outliersZ is used to identify outliers in vectors using Z-score cut-off

outliersZ(x, zCutOff = 1.96, replaceOutliersWith = NA,
outlierIndices = FALSE, showZValues = FALSE, digits = 2)

## Arguments

x |
a vector of numbers |

zCutOff |
value to use as cutoff (1.96 is a common value) |

replaceOutliersWith |
if value is an outlier, what to replace it with? NA by default |

outlierIndices |
return index/position of outlier |

showZValues |
if TRUE, will show z score of each value |

digits |
how many digits/decimals to round output to |

## Value

A vector with outliers identified (default converts outliers to NA)

## Note

This detection method is not as robust as the median absolute deviation outlier detection method.

## See also

## Examples

#> 1 outliers detected.

#> Outliers replaced with NA

#> [1] 1 3 3 6 8 10 10 NA

outliersZ(example, zCutOff = 3.0)

#> 0 outliers detected.

#> Outliers replaced with NA

#> [1] 1 3 3 6 8 10 10 1000

outliersZ(example, zCutOff = 1.0, replaceOutliersWith = -999)

#> 1 outliers detected.

#> Outliers replaced with -999

#> [1] 1 3 3 6 8 10 10 -999

outliersZ(example, zCutOff = 1.0, outlierIndices = TRUE)

#> Showing indices of outliers.

#> [1] 8

outliersZ(example, zCutOff = 1.0, showZValues = TRUE)

#> Showing absolute z-scores for each value.

#> 1 outliers detected.

#> [1] 0.39 0.39 0.39 0.38 0.37 0.37 0.37 2.65