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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

Extending Markdown with R Markdown

As mentioned earlier, R Markdown extends Markdown. It offers many features to enhance it. There are various examples in R Markdown's documentation (http://rmarkdown.rstudio.com/gallery.html) where you may get a sense of what's possible. In this section, we will focus on code chunks, tables, graphs, local and global chunk options, and caching.

Code chunks

Code chunks are simply standard Markdown code blocks, which have a special syntax that uses curly braces ({}) along the top line of the block to send metadata to knitr, about how the block should be treated. The metadata sent is in the form of parameters with the key = value format. We'll cover more on this in the Chunk options...

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