Skip to main content
SpringerLink
Log in

ggplot2

Elegant Graphics for Data Analysis

  • Book
  • © 2009

Overview

Authors:
  1. Hadley Wickham

    1. Houston, U.S.A.

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Teaches how to create graphics in R using ggplot
  • Discusses the theoretical framework that underlies ggplot
  • Includes supplementary material: sn.pub/extras

Part of the book series: Use R! (USE R)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. Introduction

    • Hadley Wickham
    Pages 1-7

  3. Getting started with qplot

    • Hadley Wickham
    Pages 9-26

  4. Mastering the grammar

    • Hadley Wickham
    Pages 27-40

  5. Build a plot layer by layer

    • Hadley Wickham
    Pages 41-64

  6. Toolbox

    • Hadley Wickham
    Pages 65-90

  7. Scales, axes and legends

    • Hadley Wickham
    Pages 91-113

  8. Positioning

    • Hadley Wickham
    Pages 115-137

  9. Polishing your plots for publication

    • Hadley Wickham
    Pages 139-155

  10. Manipulating data

    • Hadley Wickham
    Pages 157-175

  11. Reducing duplication

    • Hadley Wickham
    Pages 177-182

  12. Back Matter

    Pages 1-26
    Download chapter PDF
Back to top

Keywords

About this book

1. 1 Welcome to ggplot2 ggplot2 is an R package for producing statistical, or data, graphics, but it is unlike most other graphics packages because it has a deep underlying grammar. This grammar, based on the Grammar of Graphics (Wilkinson, 2005), is composed of a set of independent components that can be composed in many di?erent ways. This makesggplot2 very powerful, because you are not limited to a set of pre-speci?ed graphics, but you can create new graphics that are precisely tailored for your problem. This may sound overwhelming, but because there is a simple set of core principles and very few special cases, ggplot2 is also easy to learn (although it may take a little time to forget your preconceptions from other graphics tools). Practically,ggplot2 provides beautiful, hassle-free plots, that take care of ?ddly details like drawing legends. The plots can be built up iteratively and edited later. A carefully chosen set of defaults means that most of the time you can produce a publication-quality graphic in seconds, but if you do have special formatting requirements, a comprehensive theming system makes it easy to do what you want. Instead of spending time making your graph look pretty, you can focus on creating a graph that best reveals the messages in your data.

Authors and Affiliations

  • Houston, U.S.A.

    Hadley Wickham

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation