Graphing Data with R: An Introduction

Hilfiger, John Jay

ISBN 10: 1491922613 / ISBN 13: 9781491922613

Published by O'Reilly Media, 2015

About this Item

Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!

Seller Inventory # OTF-Y-9781491922613

Bibliographic Details

• Title: Graphing Data with R: An Introduction
• Publisher: O'Reilly Media
• Publication Date: 2015
• Language: English
• ISBN 10: 1491922613
• ISBN 13: 9781491922613
• Binding: Soft cover
• Condition: New
• Seller catalogs:
  • 0
  • VCF

About this title

Synopsis

It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.

Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.

• Get started with R by learning basic commands
• Build single variable graphs, such as dot and pie charts, box plots, and histograms
• Explore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniques
• Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables

About the Author

John Jay Hilfiger is a statistician, with an MS in biostatistics. He has worked as a statistical/computer consultant in three major universities (Rochester, Iowa, Cornell). He has also made heavy use of his data background in positions as associate dean and as director of institutional research. In addition, Hilfiger is a composer/arranger (over 100 publications) and has been a music professor (masters and PhD in music). A big part of his experience has been helping other people analyze their data with numbers, graphs and insight; writing this book is an extension of that pursuit. He also has a