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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

Scatter plots with joint and marginal distributions

We have seen how to create scatter plots with ggplot() in previous chapters. Therefore, in this section, we will only focus on the parts that we have not seen before. Our objective is to create scatter plots that not only show the scatter plot, but extend it by showing the marginal distributions on both axes. These are called marginal plots and are useful for understanding how data is jointly (two variables) as well as marginally (one variable) distributed.

Pricing and profitability by protein source and continent

As usual, we start developing our graph function. We receive as parameters the data, and the variables for the x axis (x) and y axis (y), and, in this case, we...

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