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Guidebook to r graphics using microsoft windows

Introduces the graphical capabilities of R to readers new to the software/ Due to its flexibility and availability, R has become the computing software of choice for statistical computing and generating graphics across various fields of research. Guidebook to R Graphics Using Microsoft Windows offers a unique presentation of R, guiding new users through its many benefits, including the creation of high-quality graphics. Beginning with getting the program up and running, this book takes readers step by step through the process of creating histograms, boxplots, strip charts, time series graphs, steam-and-leaf displays, scatterplot matrices, and map graphs. In addition, the book presents: ulli Tips for establishing, saving, and printing graphs along with essential base-package plotting functions/lili Interactive R programs for carrying out common tasks such as inputting values, moving data on a natural spline, adjusting three-dimensional graphs, and understanding simple and local linear regression/lili Various external packages for R that help to create more complex graphics like rimage, gplots, ggplot2, tripack, rworldmap, and plotrix packages/li/ul Throughout the book, concise explanations of key concepts of R graphics assist readers in carrying out the presented procedures, and any coverage of functions is clearly written out and displayed in the text as demos. The discussed techniques are accompanied by a wealth of screenshots and graphics with related R code available on the book's FTP site, and numerous exercises allow readers to test their understanding of the presented material. Guidebook to R Graphics Using Microsoft Windows is a valuable resource for researchers in the fields of statistics, public health, business, and the life and social sciences who use or would like to learn how to use R to create visual representations of data. The book can also be used as a supplement for courses on statistical analysis at the upper-undergraduate level.

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  • ""Guidebook to R Graphics Using Microsoft Windows supplies an elementary-level introduction to the R software environment while also presenting a unique focus on software's ability to generate high-quality graphics. Rather than speak to readers who use R on a regular basis to perform statistical analyses, this book addresses the audience of researchers and students who are not familiar with the software but would like to utilize its graphic functionalities to create visual representations of data for use in their everyday work. The author presents the most commonly-used methods for constructing graphs- allowing readers to gain familiarity with the program's main features, rather than outline R functions and operations in great detail. The book begins with two introductory chapters on getting started with R, producing and running R programs, and techniques for sharing displayed graphics with other softwares and saving graphs as digital files.-"
  • ""Guidebook to R Graphics Using Microsoft Windows supplies an elementary-level introduction to the R software environment while also presenting a unique focus on software's ability to generate high-quality graphics. Rather than speak to readers who use R on a regular basis to perform statistical analyses, this book addresses the audience of researchers and students who are not familiar with the software but would like to utilize its graphic functionalities to create visual representations of data for use in their everyday work. The author presents the most commonly-used methods for constructing graphs- allowing readers to gain familiarity with the program's main features, rather than outline R functions and operations in great detail. The book begins with two introductory chapters on getting started with R, producing and running R programs, and techniques for sharing displayed graphics with other softwares and saving graphs as digital files. A discussion of base-package plotting functions is also provided along with how-to guides for developing various kinds of graphics for statistical analysis, including steam-and-leaf displays, boxplots, histograms, scatterplots matrices, and map graphs. Next, the author outlines the interactive R programs that can be used to carry out common tasks related to creating graphics, such as inputting values, moving data on a natural spline, adjusting three-dimensional graphs, and understanding simple and local linear regression. The book concludes with a chapter on the various external packages for R that can be used to create more complex graphics, including rimage, gplots, ggplot2, tripack, rworldmap, and plotrix packages. The scope of coverage and fluid presentation of the material allow the book to serve as a platform for readers to work creatively and productively with their own data while also unveiling the illustrative capabilities of R. The author's explanations are accompanied by numerous screenshots, graphics, and the appropriate R code. A related FTP site houses additional data sets and information on external R packages"--"
  • "Introduces the graphical capabilities of R to readers new to the software/ Due to its flexibility and availability, R has become the computing software of choice for statistical computing and generating graphics across various fields of research. Guidebook to R Graphics Using Microsoft Windows offers a unique presentation of R, guiding new users through its many benefits, including the creation of high-quality graphics. Beginning with getting the program up and running, this book takes readers step by step through the process of creating histograms, boxplots, strip charts, time series graphs, steam-and-leaf displays, scatterplot matrices, and map graphs. In addition, the book presents: ulli Tips for establishing, saving, and printing graphs along with essential base-package plotting functions/lili Interactive R programs for carrying out common tasks such as inputting values, moving data on a natural spline, adjusting three-dimensional graphs, and understanding simple and local linear regression/lili Various external packages for R that help to create more complex graphics like rimage, gplots, ggplot2, tripack, rworldmap, and plotrix packages/li/ul Throughout the book, concise explanations of key concepts of R graphics assist readers in carrying out the presented procedures, and any coverage of functions is clearly written out and displayed in the text as demos. The discussed techniques are accompanied by a wealth of screenshots and graphics with related R code available on the book's FTP site, and numerous exercises allow readers to test their understanding of the presented material. Guidebook to R Graphics Using Microsoft Windows is a valuable resource for researchers in the fields of statistics, public health, business, and the life and social sciences who use or would like to learn how to use R to create visual representations of data. The book can also be used as a supplement for courses on statistical analysis at the upper-undergraduate level."@en

http://schema.org/genre

  • "R (Programa de ordenador)"
  • "Electronic books"@en
  • "Electronic books"
  • "Computer graphics"
  • "Ressources Internet"

http://schema.org/name

  • "Guidebook to R graphics using Microsoft Windows"
  • "Guidebook to R Graphics Using Microsoft Windows"
  • "Guidebook to r graphics using microsoft windows"@en