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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Training models with cross validation

In this section, we will efficiently train our first predictive model for this example and build the corresponding confusion matrix. Most of the functionality comes from the excellent caret package. You can find more information on the vast features within this package that we will not explore in this book in its documentation (http://topepo.github.io/caret/index.html).

Training our first predictive model

Following best practices, we will use Cross Validation (CV) as the basis of our modeling process. Using CV we can create estimates of how well our model will do with unseen data. CV is powerful, but the downside is that it requires more processing and therefore more time. If you can take...

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