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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

Starting simple with timestamps using S3 classes

We start by programming a class that has no external dependencies, the TimeStamp. We will use this class to indicate dates and times together in a single string in the format YYYY-MM-DD-HH-mm, where MM means month and mm means minutes. As you can see, with one of these strings you have the information time and date, and it will be stored with the data we retrieve from time-series for analysis in Chapter 9, Implementing an Efficient Simple Moving Average.

Our TimeStamp class will be implemented using S3. As you can see, we include the lubridate package to do some heavy lifting for us when transforming dates, and provide a constructor that checks whether or not the string being passed is a valid timestamp:

library(lubridate)
timestamp_constructor <- function(timestamp = now.TimeStamp()) {
class(timestamp) <- "TimeStamp...
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