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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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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

Easily achieving high benefit - cost improvements

In this section, we will show how the efficiency of R can be drastically improved without resorting to advanced techniques such as delegating to other programming languages or implementing parallelization. Those techniques will be shown in the later sections.

Using the simple data structure for the job

Many R users would agree that data frame as a data structure is a basic tool for data analysis. It provides an intuitive way to represent a typical structured dataset with rows and columns representing observations and variables, respectively, but it provides more flexibility than a matrix by allowing variables of different types (such as character and numeric variables in a...

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