Guidebook to R Graphics Using Microsoft Windows

Beschreibung

Introduces the graphical capabilities of R to readers new to thesoftware Due to its flexibility and availability, R has become thecomputing software of choice for statistical computing andgenerating graphics across various fields of research. Guidebook toR Graphics Using Microsoft® Windows offers a uniquepresentation 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 booktakes readers step by step through the process of creatinghistograms, boxplots, strip charts, time series graphs,steam-and-leaf displays, scatterplot matrices, and map graphs. Inaddition, the book presents: * Tips for establishing, saving, and printing graphs along withessential base-package plotting functions * Interactive R programs for carrying out common tasks such asinputting values, moving data on a natural spline, adjustingthree-dimensional graphs, and understanding simple and local linearregression * Various external packages for R that help to create more complexgraphics like rimage, gplots, ggplot2, tripack, rworldmap, andplotrix packages Throughout the book, concise explanations of key concepts of Rgraphics assist readers in carrying out the presented procedures,and any coverage of functions is clearly written out and displayedin the text as demos. The discussed techniques are accompanied by awealth of screenshots and graphics with related R code available onthe book's FTP site, and numerous exercises allow readers to testtheir understanding of the presented material. Guidebook to R Graphics Using Microsoft® Windows is avaluable resource for researchers in the fields of statistics,public health, business, and the life and social sciences who useor would like to learn how to use R to create visualrepresentations of data. The book can also be used as a supplementfor courses on statistical analysis at the upper-undergraduatelevel.

Autor*in

Kunio Takezawa

Themen in »Guidebook to R Graphics Using Microsoft Windows«

Computational & Graphical Statistics Computer Science Computergraphik Data Analysis Datenanalyse Informatik Rechnergestützte u. graphische Statistik Statistics Statistik Visualisierung u. Computergraphik Visualization & Computer Graphics

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