hampel_outlier: Hampel Outlier Threshold

In funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

Description

Retrieves the bottom and top boundaries to flag outliers or extreme values, according to the Hampel method. This technique takes into account the median and MAD value, which is a is a robust measure of the variability of a univariate sample of quantitative data (Wikipedia). Similar to standard deviation but less sensitve to outliers. This function is used in 'prep_outliers' function. All 'NA's values are automatically excluded. More information at: https://livebook.datascienceheroes.com/data-preparation.html#how_to_deal_with_outliers_in_r.

Usage

hampel_outlier(input, k_mad_value = 3)

Arguments

input	Numeric variable vector
k_mad_value	'K' multiplier for the median absolute deviation. The higher the value, the more outliers will be detected. Default value=3 (it's an standad)

Value

A two-item vector, the first value represents the bottom threshold, while the second one is the top threshold

Examples

## Not run: 
hampel_outlier(heart_disease$age)

## End(Not run)

Example output

Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, units

sh: 1: cannot create /dev/null: Permission denied
funModeling v.1.7 :)
Examples and tutorials at livebook.datascienceheroes.com

bottom_threshold    top_threshold 
         29.3132          82.6868 

funModeling documentation built on July 1, 2020, 5:40 p.m.