apply.outlier.mappings: Applies outlier mapping tables

In XanderHorn/lazy: Automated data pre-processing and machine learning

Description

Clips outliers by applying mapping tables to respective features. Also creates tracking features to identify which observations had outliers present for specific features.

Usage

apply.outlier.mappings(data, outlier.mappings, progress = TRUE,
  track.features = TRUE)

Arguments

data	[required | data.frame] Dataset containing features
outlier.mappings	[required | list] Output from function map.outliers
progress	[optional | logical | default=TRUE] Display a progress bar
track.features	[optional | logical | default=TRUE] Creates tracking features that records which observations had outliers present

Value

Data frame with clipped features and all other features

Author(s)

Xander Horn

Examples

om <- map.outliers(iris, x = names(iris)[1:4])
new_iris <- apply.outlier.mappings(data, om)

XanderHorn/lazy documentation built on Jan. 16, 2021, 6:15 p.m.