outliers: Outliers

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Outliers

Description

The outliers class uses box-plot definition for outliers. An outlier is a value that is below than Q_1 - 1.5 \cdot IQR or higher than Q_3 + 1.5 \cdot IQR. The class remove outliers for numeric attributes. Users can set alpha to 3 to remove extreme values.

Usage

outliers(alpha = 1.5)

Arguments

alpha

boxplot outlier threshold (default 1.5, but can be 3.0 to remove extreme values)

Value

returns an outlier object

Examples

# code for outlier removal
out_obj <- outliers() # class for outlier analysis
out_obj <- fit(out_obj, iris) # computing boundaries
iris.clean <- transform(out_obj, iris) # returning cleaned dataset

#inspection of cleaned dataset
nrow(iris.clean)

idx <- attr(iris.clean, "idx")
table(idx)
iris.outliers <- iris[idx,]
iris.outliers

daltoolbox documentation built on Nov. 3, 2024, 9:06 a.m.