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R for Data Science

You're reading from   R for Data Science Learn and explore the fundamentals of data science with R

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781784390860
Length 364 pages
Edition 1st Edition
Languages
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Author (1):
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 Toomey Toomey
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Toomey
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Toc

Table of Contents (19) Chapters Close

R for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Data Mining Patterns 2. Data Mining Sequences FREE CHAPTER 3. Text Mining 4. Data Analysis – Regression Analysis 5. Data Analysis – Correlation 6. Data Analysis – Clustering 7. Data Visualization – R Graphics 8. Data Visualization – Plotting 9. Data Visualization – 3D 10. Machine Learning in Action 11. Predicting Events with Machine Learning 12. Supervised and Unsupervised Learning 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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