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R for Data Science

By : Dan Toomey
Book Image

R for Data Science

By: Dan Toomey

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R for Data Science
Dan Toomey
Dec, 2014 | 364 pages
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Table of Contents (19 chapters)
R for Data Science
R for Data Science
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Data Mining Patterns
Data Mining Patterns
Cluster analysis
Anomaly detection
Association rules
Questions
Summary
2
Data Mining Sequences
Data Mining Sequences
Patterns
Questions
Summary
3
Text Mining
Text Mining
Packages
Questions
Summary
4
Data Analysis – Regression Analysis
Data Analysis – Regression Analysis
Packages
Questions
Summary
5
Data Analysis – Correlation
Data Analysis – Correlation
Packages
Questions
Summary
6
Data Analysis – Clustering
Data Analysis – Clustering
Packages
K-means clustering
Questions
Summary
7
Data Visualization – R Graphics
Data Visualization – R Graphics
Packages
Questions
Summary
8
Data Visualization – Plotting
Data Visualization – Plotting
Packages
Scatter plots
Bar charts and plots
Questions
Summary
9
Data Visualization – 3D
Data Visualization – 3D
Packages
Generating 3D graphics
Questions
Summary
10
Machine Learning in Action
Machine Learning in Action
Packages
Dataset
Questions
Summary
11
Predicting Events with Machine Learning
Predicting Events with Machine Learning
Automatic forecasting packages
Questions
Summary
12
Supervised and Unsupervised Learning
Supervised and Unsupervised Learning
Packages
Questions
Summary
Index
Index

Packages

In R, there are several packages that provide the visualization functionality to the programmer. We will use the following packages in the examples of this chapter:

  • classIn: This contains univariate class intervals

  • ggplot2: This has a large number of graphical features

  • gpclib: This is used for polygon clipping

  • hexbin: This is used for bivariate data manipulation

  • latticist: This is an interface between R and the Latticist program

  • mapdata: This has data that can be added directly to maps

  • maps: This contains maps of various geographical areas

  • maptools: This has the access mechanisms to use the maps

  • playwith: This contains the interface between R and other programs, such as GTK+

  • RColorBrewer: This is used for map shading

  • RgoogleMaps: This contains the maps from Google for use in R

Interactive graphics

The R programming system interfaces with the GTK+ toolkit to allow the programmer to interactively modify a graphic. You can invoke the GTK+ toolkit using the playwith function. The playwith...

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