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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

The basic tools for an automation pipeline

A pipeline is a process that starts with text, code, and raw data, and ends with the final document or presentation we want to show or distribute. Luckily, much of the hard work is automated for you within R, so there's not much you need to do other than install these tools and set up a compilation file.

Our pipeline should be general enough to accommodate various use cases without having to be modified substantially. If it is, we can master one set of tools and reuse them for different projects rather than learning a new tool set each time. On the input side, using text, code, and data, is general enough. On the output side, being able to generate HTML, PDF, LaTeX, and even Word documents seems to be general enough so we are good to go.

Markdown is a low-overhead mark-up language (http://spec.commonmark.org/0.28/). Its main benefit...

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