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R Statistics Cookbook

You're reading from   R Statistics Cookbook Over 100 recipes for performing complex statistical operations with R 3.5

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802566
Length 448 pages
Edition 1st Edition
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Author (1):
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Francisco Juretig Francisco Juretig
Author Profile Icon Francisco Juretig
Francisco Juretig
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with R and Statistics FREE CHAPTER 2. Univariate and Multivariate Tests for Equality of Means 3. Linear Regression 4. Bayesian Regression 5. Nonparametric Methods 6. Robust Methods 7. Time Series Analysis 8. Mixed Effects Models 9. Predictive Models Using the Caret Package 10. Bayesian Networks and Hidden Markov Models 11. Other Books You May Enjoy

Variable importance and feature selection

When building a model, we want to keep only the relevant features and discard the nonrelevant ones. A model that uses redundant features will have a higher variance (that it, it will be less precise) and the predictions will not look that great. When building models, keeping redundant features is comparable to omitting the relevant ones.

Getting ready

The caret package needs to be installed using install.packages("caret").

How to do it...

In this recipe, we will focus on removing irrelevant features from our models,...

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