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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

Product type Paperback

Published in Mar 2019

Publisher Packt

ISBN-13 9781789802566

Length 448 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Statistics

Author (1):

Francisco Juretig

View More author details

Table of Contents (12) Chapters

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

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Model tuning

Most of the models that can be used with caret have certain hyperparameters. These are not estimated by each algorithm, but rather, need to be adjusted by the user. The strategy is to tune them in order to minimize some cross-validation error. caret has a variety of tools for tuning these hyperparameters that we will explore in this recipe.

Getting ready

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

How to do it...

In this recipe, we will work with the mushroom dataset that we used in the first recipe of this chapter and...

The rest of the chapter is locked

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Authors (1)

Juretig

Juretig

Francisco Juretig has worked for over a decade in a variety of industries such as retail, gambling and finance deploying data-science solutions. He has written several R packages, and is a frequent contributor to the open source community.

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