outbox {dprep} | R Documentation

## Detecting outliers through boxplots of the features.

### Description

This function detects univariate outliers simultaneously using boxplots of the features.

### Usage

    outbox(data, nclass)

### Arguments

`data` | the dataset to be explored for outlier detection.
`nclass` | a value representing the number that will be explored.

### Details

The function also displays a plot containing a boxplot for of the variables.

### Value

`out1` | list of the indices of the observations that are outside the extremes of the boxplot. The indices are given in a table format representing the number of columns in which the observation was identified as an outlier.

### Author(s)

Edgar Acuna

### Examples

    #---- Identifying outliers in diabetes-class1 with boxplots----
    data(diabetes)
    outbox(diabetes,nclass=1)

[Package dprep version 1.0 Index]