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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

Developing graphs and analysis as we normally would

As you saw in previous sections, you can work directly with our R Markdown file for the presentation (presentation.Rmd, in our case). However, you can be more productive if you first develop the content for the presentation as you would normally work with R, taking advantage of any configurations and tooling you may be accustomed to. When the code has been finalized, you translate only the necessary parts into the R Markdown file. Even though it seems counter intuitive because it would be more work, it's actually faster to work this way just because you're used to working with R more than with R Markdown, and you'll think about producing modular code that can be plugged into your presentation. This allows your to produce higher quality and reusable code. That's exactly what we will do here. We will start working...

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