Book Image

R Data Visualization Cookbook

Book Image

R Data Visualization Cookbook

Overview of this book

Table of Contents (17 chapters)
R Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Integrating a 3D contour and a surface plot


We have studied contour plots in the recipe A guide to contour maps in Chapter 4, Maps. In this recipe, we will learn to plot a contour map in 3D using the plot3D package in R. Readers who are interested in studying contour plots should refer to the See also section of this recipe.

Getting ready

For the purpose of the current recipe, we will install and load the plot3D package in R.

How to do it…

We will install and load the plot3D package in R using the following lines of code:

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

We now generate some data to construct our plots. This step is exactly the same step discussed under the How to do it… section in the recipe: A simple 3D histogram.

x = y = seq(-3,3, length.out = 10)
f = function(x,y){ z= (y^2-x^2)}
m = outer(x,y,f)

The following lines of code use the image2D() and persp3D() functions to generate four different plots:

image2D(m)
image2D(m, contour = TRUE)
persp3D(z = m, contour = TRUE)
persp3D(z = volcano...