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R Graphics

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  • 328pagine
  • 12 ore di lettura

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R is transforming statistical computing, emerging as the preferred choice for countless statisticians due to its power, flexibility, and cost-effectiveness. This book offers the first comprehensive guide to the R graphical system, authored by Paul Murrell, a leading authority on R graphics. It serves as an essential resource for both beginners and experienced users, covering the nuances of R graphics in detail. The initial sections provide an overview of R's graphics capabilities, focusing on the traditional graphics system. Users will learn how to utilize traditional functions to create complete plots and customize their details. The latter part delves into the grid graphics system, a unique and more advanced feature of R. Murrell, involved in the grid system's development, guides readers in producing graphical scenes from scratch and developing user-friendly graphical functions. The appendices introduce the R system and explain how to integrate traditional and grid graphics systems. Much of the content is exclusive to this book, particularly insights into the grid system, positioning it as a pivotal resource for the future of statistical graphics. The author also maintains a website for further information.

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R Graphics, Paul Murrell

Lingua
Pubblicato
2005
Rilegatura
(Copertina rigida)
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Titolo
R Graphics
Lingua
Inglese
Pubblicato
2005
Formato
Copertina rigida
Pagine
328
ISBN10
158488486X
ISBN13
9781584884866
Serie
Valutazione
3,75 su 5
Descrizione
R is transforming statistical computing, emerging as the preferred choice for countless statisticians due to its power, flexibility, and cost-effectiveness. This book offers the first comprehensive guide to the R graphical system, authored by Paul Murrell, a leading authority on R graphics. It serves as an essential resource for both beginners and experienced users, covering the nuances of R graphics in detail. The initial sections provide an overview of R's graphics capabilities, focusing on the traditional graphics system. Users will learn how to utilize traditional functions to create complete plots and customize their details. The latter part delves into the grid graphics system, a unique and more advanced feature of R. Murrell, involved in the grid system's development, guides readers in producing graphical scenes from scratch and developing user-friendly graphical functions. The appendices introduce the R system and explain how to integrate traditional and grid graphics systems. Much of the content is exclusive to this book, particularly insights into the grid system, positioning it as a pivotal resource for the future of statistical graphics. The author also maintains a website for further information.