Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
R Data Visualization Recipes

You're reading from   R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

Arrow left icon
Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Installation and Introduction FREE CHAPTER 2. Plotting Two Continuous Variables 3. Plotting a Discrete Predictor and a Continuous Response 4. Plotting One Variable 5. Making Other Bivariate Plots 6. Creating Maps 7. Faceting 8. Designing Three-Dimensional Plots 9. Using Theming Packages 10. Designing More Specialized Plots 11. Making Interactive Plots 12. Building Shiny Dashboards

Using the directlabels package to label the contours


If you ever try to display each contour value by the line itself using stat_density_2d(geom = 'text', aes(label = ..level..)) (or stat_contour(*)), you shall get yourself a hard time. The resulting visual might be very confusing, numbers will take over the plot like a messy zombie horde. However, there is an easy alternative achieved with directlabels package. This one package will do all the hard work for you plus your family and friends shall think of you as a great R shinobi.

Getting ready

Let's see how directlabels can be used to label contour lines. Only make sure to install directlabels package first:

> if( !require(directlabels)){ install.packages('directlabels')}

Internet connection has to be on if the package is not installed yet.

How to do it...

Let us now get started on recipe:

  1. Design the desired contour plot:
> library(ggplot2)
> plot <- ggplot(data = cars, aes(x = speed, y = dist)) + 
   geom_density_2d(aes(colour = ....
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image