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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

Hacking ggvis add_axis() function to operate as a title function


Version 0.4.3 of ggvisdoes not have a function to add titles to plots, but still there is a known way to hack the add_axis() function to work as a title function. If a user expects to explore this device many times, it's advised to wrap it into a function. Besides making the code more readable, it's a quicker way to address the problem.

Getting ready

This recipe does not only teach how to craft the hack function but also to experiment it on the previous plot, so make sure to have sca3 from the earlier recipe loaded into your environment. Alternatively, you can use another ggvis object of your own.

How to do it...

  1. Wrap the add_axis() function with several arguments declared to work as a title function:
> library(ggvis)
> ggvis_title <- function(vis, plot_title, title_size = 18, shift = 0, ...){ 
    add_axis(vis, 'x', ticks = 0, orient = 'top', 
             properties = axis_props( axis = list(strokeWidth = 0),
       ...
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