Knihobot

R Graphics

Hodnocení knihy

Parametry

  • 328 stránek
  • 12 hodin čtení

Více o knize

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.

Vydání

Nákup knihy

R Graphics, Paul Murrell

Jazyk
Rok vydání
2005
Vazba
(pevná),
Stav knihy
Dobrá
Cena
89 Kč

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Platební metody

3,8
Velmi dobrá
8 Hodnocení

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Titul
R Graphics
Jazyk
anglicky
Rok vydání
2005
Vazba
pevná
Počet stran
328
ISBN10
158488486X
ISBN13
9781584884866
Série
Hodnocení
3,75 z 5
Anotace
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.