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R Data Visualization Cookbook

You're reading from  R Data Visualization Cookbook

Product type Book
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Pages 236 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

R Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. A Simple Guide to R 2. Basic and Interactive Plots 3. Heat Maps and Dendrograms 4. Maps 5. The Pie Chart and Its Alternatives 6. Adding the Third Dimension 7. Data in Higher Dimensions 8. Visualizing Continuous Data 9. Visualizing Text and XKCD-style Plots 10. Creating Applications in R Index

A simple 3D histogram


We have studied histograms in Chapter 1, A Simple Guide to R. We will try to plot a 3D histogram in this recipe. The applications of 3D histograms are limited, but they are a great tool for displaying multiple variables in a plot. In order to construct a 3D histogram, as shown in the following screenshot, we will use the plot3d package available in R.

Getting ready

To plot a histogram in 3D, we will use the plot3D package available in R.

How to do it…

We will install as well as load the plot3D package in R using the install.packages() and library() functions, respectively.

install.packages("plot3D")
library(plot3D)

We will now generate data for the x and y values using the seq() function:

x = y = seq(-4,4,by =0.5 )

The 3D histogram requires the z variable as well, which is generated using our function f defined using the following line of code:

f = function(x,y){z = (25-(x^2-y^2))}

The z values are generated using the outer() function, which consists of the x and y values as...

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