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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

Adding a simple moving average graph

Now we will create our first simple moving average (SMA) graph. This graph will be created with the package, and will show two lines. The black line will be the actual price data, and the blue line will be SMA.

Before we begin, and since ggplot2 graphs which make use of dates are better created with actual dates instead of timestamp strings, we add the time column to the ORIGINAL_DATA dataframe with the corresponding dates. This should be placed immediately after having loaded the data:

ORIGINAL_DATA$time <- timestamp_to_time.TimeStamp(ORIGINAL_DATA$timestamp)

Next we show how our sma_graph() function is implemented. As can be seen, it will receive two parameters, the data dataframe and the sma vector coming out of one of the SMA implementations mentioned before. The function is very simple, it creates a graph with time on the x axis and...

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