Book Image

RStudio for R Statistical Computing Cookbook

By : Andrea Cirillo
Book Image

RStudio for R Statistical Computing Cookbook

By: Andrea Cirillo

Overview of this book

The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications.
Table of Contents (15 chapters)
RStudio for R Statistical Computing Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Making use of the igraph package to draw a network


The igraph package is a reference point for network visualization in the R environment.

igraph is actually more than an R package, since you can use igraph tools even with Python and C/C++.

If you are performing analysis that involves network visualizations and R, you should look at this package as one of your more relevant allies.

This recipe will let you enter the wide world of network visualization with R, showing you how to create a network plot starting from a data frame.

Getting ready

Install the igraph package:

install.packages("igraph")
library(igraph)

We will use the flo dataset showing the relationship between Renaissance Florentine families.

Marriage between Adimari and Cascioni families, from Cassone Adimari, around 1420, Florence

This dataset is provided as an adjacency matrix within the network package.

Therefore, in order to make it available, we have to install the network package and load the dataset by running the data() function...