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R Data Visualization Recipes

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

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
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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

Adding marginal histograms using ggExtra


Another way to go is to draw histograms or even density distributions in the margins. Drawing tailor made plots in the margins would require more code. On the other hand, if there is no need for greater customization ggExtra package can be used to spare many code lines. This recipe is demonstrating how to use ggExtra to easily draw histograms in the margins of a scatterplot. 

Getting ready

In order to properly execute this recipe, the ggExtra package must be locked and loaded. Run the following code to make that happen:

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

Once ggExtra is installed we can go on.

How to do it...

  1. Draw a ggplot2 scatterplot like this:
library(ggplot2)
base_p <- ggplot(iris, aes(x = Petal.Length, y = Petal.Width, colour = Species))
scatter <- base_p + geom_point( alpha = .5, aes(shape = Species)) + 
  geom_rug(alpha = .5, sides = 'tr', show.legend = F) +
  theme(legend.position = 'bottom')
  1. Load ggExtra and input the...
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