Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
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
 Bianchi Lanzetta Bianchi Lanzetta
Author Profile Icon Bianchi Lanzetta
Bianchi Lanzetta
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
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

Creating publication quality violin plots


As stated by the previous chapter, default ggplot2 configurations are not publication ready. It's not difficult to name at least four general changes that may take place to achieve publication quality. These would be:

  •  Give legends complete information (measure unity included).

  •  Check the legend labels.

  •  Grow the labels bigger.

  •  Grow the axes bigger.

It's also important to give colors and theme a careful thought. For the moment, let's consider using theme_*  functions from ggplot2 like theme_minimal() and theme_classic()Chapter 9, Using Theming Packages is going to introduce you to a set of theme packages that shall give you a handful of alternatives.

The very first step to craft publication quality plots is the deployment of a some what crude version of all features we judge essential to transmit the core idea. For this recipe, the goal is to develop a high quality violin plot drawn upon our old friend, the car::Salaries data frame. Let's see how we...

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 $15.99/month. Cancel anytime
Visually different images