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Advanced Analytics with R and Tableau

You're reading from  Advanced Analytics with R and Tableau

Product type Book
Published in Aug 2017
Publisher Packt
ISBN-13 9781786460110
Pages 178 pages
Edition 1st Edition
Languages
Authors (3):
Ruben Oliva Ramos Ruben Oliva Ramos
Profile icon Ruben Oliva Ramos
Jen Stirrup Jen Stirrup
Profile icon Jen Stirrup
Roberto Rösler Roberto Rösler
View More author details

Table of Contents (16) Chapters

Advanced Analytics with R and Tableau
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Advanced Analytics with R and Tableau 2. The Power of R 3. A Methodology for Advanced Analytics Using Tableau and R 4. Prediction with R and Tableau Using Regression 5. Classifying Data with Tableau 6. Advanced Analytics Using Clustering 7. Advanced Analytics with Unsupervised Learning 8. Interpreting Your Results for Your Audience Index

Control structures in R


R has the appearance of a procedural programming language. However, it is built on another language, known as S programming language. S leans towards functional programming. It also has some object-oriented characteristics. This means that there are many complexities in the way that R works.

In this section, we will look at some of the fundamental building blocks that make up key control structures in R, and then we will move onto looping and vectorized operations.

Assignment operators

R has five assignment operators, which are listed here:

<-

->

=

<<-

->>

In this book, we will use the following assignment operator:

<-

We will use this assignment operator here, because it is used commonly in examples on well-known internet sites such as StackOverflow (http://stackoverflow.com/). It's also possible to use the rightward assignment operator, but that is confusing for many people so it is not used here. Note also that the equals sign isn't used here...

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