# outlier_df

From ggstatsplot v0.0.10
by Indrajeet Patil

##### Adding a column to dataframe describing outlier status.

This function is mostly helpful for internal operations of some of the functions in this package.

##### Usage

`outlier_df(data, x, y, outlier.label, outlier.coef = 1.5, ...)`

##### Arguments

- data
A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will

**not**be accepted.- x
The grouping variable from the dataframe

`data`

.- y
The response (a.k.a. outcome or dependent) variable from the dataframe

`data`

.- outlier.label
Label to put on the outliers that have been tagged.

- outlier.coef
Coefficient for outlier detection using Tukey's method. With Tukey's method, outliers are below (1st Quartile) or above (3rd Quartile)

`outlier.coef`

times the Inter-Quartile Range (IQR) (Default:`1.5`

).- ...
Additional arguments.

##### Examples

```
# NOT RUN {
# adding column for outlier and a label for that outlier
ggstatsplot::outlier_df(
data = morley,
x = Expt,
y = Speed,
outlier.label = Run,
outlier.coef = 2
) %>%
dplyr::arrange(outlier)
# }
```

*Documentation reproduced from package ggstatsplot, version 0.0.10, License: GPL-3 | file LICENSE*

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