R Graphics (The R Series)

Murrell, Paul:

ISBN 10: 1439831769 / ISBN 13: 9781439831762

Edité par CRC PR INC, 2011

A propos de cet article

518 Seiten; 9781439831762.3 Gewicht in Gramm: 1.

N° de réf. du vendeur 643770

Détails bibliographiques

• Titre: R Graphics (The R Series)
• Éditeur: CRC PR INC
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 1439831769
• ISBN à 13 chiffres: 9781439831762
• Reliure: hardcover
• Édition: 2ème Édition
• État de l'article: Gut
• Catalogues du vendeur:
  • Varia

A propos de ce titre

Synopsis

Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling R Graphics comes complete with new packages and new examples. Paul Murrell, widely known as the leading expert on R graphics, has developed an in-depth resource that helps both neophyte and seasoned users master the intricacies of R graphics.

New in the Second Edition

• Updated information on the core graphics engine, the traditional graphics system, the grid graphics system, and the lattice package
• A new chapter on the ggplot2 package
• New chapters on applications and extensions of R Graphics, including geographic maps, dynamic and interactive graphics, and node-and-edge graphs

Organized into five parts, R Graphics covers both "traditional" and newer, R-specific graphics systems. The book reviews the graphics facilities of the R language and describes R’s powerful grid graphics system. It then covers the graphics engine, which represents a common set of fundamental graphics facilities, and provides a series of brief overviews of the major areas of application for R graphics and the major extensions of R graphics.

À propos de l?auteur

Paul Murrell attended Auckland University for his BSc (in Computer Science), BA (in Psychology), MSc (in Psychology), and PhD (in Statistics!). He then spent a year at the University of Cambridge in the Department of Community Medicine as a medical statistician and research assistant, before joining the Department of Statistics at Auckland University in October, 1999. His research interests include computational and graphical statistics. He is currently part of the development team for the R and Omegahat statistical computing projects. He was elected a Fellow of the American Statistical Association in 2010.