Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
R Data Analysis Projects

You're reading from   R Data Analysis Projects Build end to end analytics systems to get deeper insights from your data

Arrow left icon
Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788621878
Length 366 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Gopi Subramanian Gopi Subramanian
Author Profile Icon Gopi Subramanian
Gopi Subramanian
Arrow right icon
View More author details
Toc

Table of Contents (9) Chapters Close

Preface 1. Association Rule Mining 2. Fuzzy Logic Induced Content-Based Recommendation FREE CHAPTER 3. Collaborative Filtering 4. Taming Time Series Data Using Deep Neural Networks 5. Twitter Text Sentiment Classification Using Kernel Density Estimates 6. Record Linkage - Stochastic and Machine Learning Approaches 7. Streaming Data Clustering Analysis in R 8. Analyze and Understand Networks Using R

Graphs in R


We will use the R package, igraph, for our graph analysis needs. We will leverage the arules package to manipulate our data. If you don't have them installed, proceed to install them as follows:

>  install.packages("arules")
>  install.packages("igraph")

You can use the sessionInfo function from the utils package to look at the packages available for you in the current session.

Let's get started; create a simple graph, and plot it:

> library(igraph, quietly = TRUE)
> simple.graph <- graph_from_literal(A-B, B-C, C-D, E-F, A-E, E-C)
> plot.igraph(simple.graph)

This produces the following graph plot:

After including the igraph library, we used the graph_from_literal function to create a simple undirected graph with six nodes. The igraph package provides the plot.igraph function to visualize the graphs. There are several ways in which we can create a graph. For a complete list of the different methods available to create graphs, refer to http://igraph.org/r/#docs.

Alternatively...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image