hampel_outlier: Hampel Outlier Threshold

In pablo14/funModeling: Exploratory Data Analysis and Data Preparation Tool-Box

Hampel Outlier Threshold

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)

pablo14/funModeling documentation built on July 30, 2023, 10:59 a.m.