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R Data Visualization Cookbook

You're reading from   R Data Visualization Cookbook Over 80 recipes to analyze data and create stunning visualizations with R

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989508
Length 236 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Simple Guide to R FREE CHAPTER 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

Generating a 3D contour plot


The plot3D package allows us to construct 3D contours and also slice them. In the current recipe, I have explained the implementation of 3D contours in R. The manual to the package discusses many different examples.

Getting ready

We will install the plot3D package to generate 3D contours in R.

How to do it…

The implementation of contour 3D is very similar to the histogram discussed in the previous recipe. We will first install and load the plot3D package in R using the following lines of code:

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

We will now create a layout for our image. We will generate four different contour plots on the same window. The layout() function allows us to divide our plotting window into four sections:

par(mar=c(2,1,2,1))
l = layout(matrix(c(1,2,3,4),2,2,byrow = TRUE))

Next, we generate our dataset for the x and y values and write a function for the z value. The procedure is very similar to the recipe A simple 3D histogram discussed in this chapter...

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