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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

Required packages

We have already worked with some of the packages required for this chapter, such as ggplot2 and lubridate. The other three packages are introduced to benchmark functions and compare their performance among themselves, and for advanced optimization techniques like delegation and parallelization, which will be explained in their respective sections.

To be able to replicate all the examples in this chapter, you also need working compilers for Fortran and C++ code. Refer to Appendix, Required Packages, for instructions on how to install them for your operating system.

Let's take a look at the following table depicting the uses of the required packages:

Packages

Reason

ggplot2

High-quality graphs

lubridate

Easily transfer dates

microbenchmark

Benchmark functions' performance

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