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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

Animating a 3D surface plot


Surface plots are used to generate some great geometrical shapes in R. Readers who have studied calculus will recognize the image generated using the surface plot. In the current recipe, we will introduce readers to surface plots and animation in R. The surface plot is generated using the parametric equations found in any calculus textbook.

Getting ready

In order to plot a surface plot and animate the same, we need to install and load the following two packages in R:

  • plotrix3D()

  • animation

How to do it…

For the purpose of this recipe, we will first generate a simple surface plot. We will then use an animation package to animate the plot. We have discussed the use of the seq() function to generate data under a 3D histogram.

x = y = seq(0,2*pi, length.out = 100)
z = mesh(x,y)
u = z$x
v = z$y

We can now define the m, n, and o variables using the parametric equation:

m= (sin(u)*sin(2*v)/2)
n = (sin(2*u)*cos(v)*cos(v))
o = (cos(2*u)*cos(v)*cos(v))

We use the surf3D() function...

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