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doppelganger's Introduction

doppelganger

An R package to analyze correlations and select a subset of non-redundant variables.

For details, see the post on Towards Data Science:

Fighting doppelgängers: How to rid data of evil twins reducing the feature space

Quick usage

dg <- doppelganger(data, priority={...}, threshold={...})
Argument Description
data Data frame containing numerical variables.
variables Columns of data to consider in the analysis (default: all).
priority Ranking method to prioritize variables ("centrality", "peripherality", "raw_order").
threshold Correlation cut-off (absolute value).

Output

Variabiles to keep / drop:

dg$keep
dg$drop

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