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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

Activating our system with two simple functions

After you have loaded some data into the system, you will be able to execute the update-markets.R and update-assets.R files, whose contents are shown below. The first one loads the required definitions, as we did previously when creating the user data, and provides the update_markets_loop() function, which receives a parameter that specifies the number of minutes between each time the live market data is retrieved. Every 60 minutes is a good option, and it's what we use below. The function simply creates a Storage instance using the SETTINGS specification shown before, gets the existing exchanges (which is only CoinMarketCap at this point), and calls the public update_markets() method on each of them, with the corresponding parameters:

library(R6)
library(methods)

source("../storage/storage.R", chdir = TRUE)
source(&quot...
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