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Guidebook to R graphics using Microsoft Windows
Údaje o názvu Guidebook to R graphics using Microsoft Windows / Kunio Takezawa Osobní jméno Takezawa, Kunio, 1959- (autor) Nakladatel Hoboken, N.J. : Wiley, 2012 Fyz.popis 1 online zdroj ISBN 9781118270158 (online ; pdf) 1118270150 9781118270134 1118270134 9781118270141 1118270142 9781118026397 111802639X 9781118270165 1118270169 1280588594 9781280588594 Poznámka Obsahuje rejstřík Poznámky k dostupnosti Přístup pouze pro oprávněné uživatele Poznámky Způsob přístupu: World Wide Web Defekty eBooks on EBSCOhost Předmět.hesla počítačová grafika computer graphics * R (programovací jazyk) R (computer program language) Forma, žánr elektronické knihy electronic books Konspekt 004.4/.6 - Programování. Software MDT 004.43R , 004.92 , (0.034.2:08) Země vyd. New Jersey Jazyk dok. angličtina Druh dok. Elektronické zdroje URL http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=443017
"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"--
Front Matter -- Basic Graphics -- Graphics for Statistical Analysis -- Interactive R Programs -- Graphics Obtained Using Packages Based on R -- Appendix -- Index.
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