outliers_boxplot: outliers_boxplot

In daltoolbox: Leveraging Experiment Lines to Data Analytics

outliers_boxplot

Description

The outliers_boxplot class uses box-plot definition for outliers_boxplot. 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_boxplot for numeric attributes. Users can set alpha to 3 to remove extreme values.

Usage

outliers_boxplot(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_boxplot() # 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_boxplot <- iris[idx,]
iris.outliers_boxplot

daltoolbox documentation built on June 8, 2025, 1:12 p.m.