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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

Scatter plots

A scatter plot is a basic plotting device comparing datasets with two axes. A basic scatter plot is provided with the plot function built into the R system.

Note

Several objects available in R and packages have their own plot function in order to effectively portray the data associated.

The plot function looks as follows:

plot(x,
   y,
   type,
   main,
   sub,
   xlab,
   ylab,
   asp)

The various parameters of this function are described in the following table:

Parameter

Description

x

This is an independent variable.

y

This is a dependent variable.

type

This defines the type of plot. It should be one of the following types:

  • p for points

  • l for lines

  • b for both

  • c for the lines part alone of b

  • o for both overplotted

  • h for histogram-like (or high-density) vertical lines

  • s for stair steps

  • S for other steps, see details below

  • n for no plotting (not sure why this is a choice as it ends up with no information plotted)

main

This is the title of the plot.

sub

This...

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