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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

Functions


R has many functions that are included as part of the installation. In the first instance, let's look to see how we can work smart by finding out what functions are available by default.

In our last example, we used the split() function. To find out more about the split function, we can simply use the following command:

?split

As an alternative, we can use the following statement:

help(split)

It's possible to get an overview of the arguments required for a function. To do this, simply use the args command:

args(split)

Fortunately, it's also possible to see examples of each function by using the following command:

example(split)

If you need more information than the documented help file about each function, you can use the following command. It will go and search through all the documentation for instances of the keyword:

help.search("split")

If you want to search the R project site from within RStudio, you can use the RSiteSearch command. For example:

RSiteSearch("split")
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