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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

How fast is fast enough?

Let's assume that you have chosen a good algorithm and implemented it without too much regard for optimization, as is commonly the case with first attempts. Should you invest the time to optimize it? Performance optimization can be a very costly activity. You must not try to optimize your code unless you must. Your time is valuable, and it's probably better spent doing something else.

Let's say that for some reason, you must make your implementation faster. The first thing you must decide on is how fast is fast enough. Is your algorithm required to simply finish within a couple of hours instead of a couple of days, or do you need to come down to microsecond levels? Is this an absolute requirement or should you simply do the best job you can within a specific time frame? These are important questions that you must consider before optimizing...

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