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Informationen zum Autor KUNIO TAKEZAWA, PhD, is Research Scientist in the Department of Information Science and Technology at the National Agricultural Research Center (Japan) and Associate Professor in the Cooperative Graduate School System at the University of Tsukuba (Japan). He has published numerous journal articles in his areas of research interest, which include nonparametric regression, smoothing methods, and fuzzy estimation. Dr. Takezawa is the author of Introduction to Nonparametric Regression, also published by Wiley. Klappentext Introduces the graphical capabilities of R to readers new to the softwareDue 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(r) 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:* Tips for establishing, saving, and printing graphs along with essential base-package plotting functions* 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* Various external packages for R that help to create more complex graphics like rimage, gplots, ggplot2, tripack, rworldmap, and plotrix packagesThroughout 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(r) 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. Zusammenfassung This book introduces the graphical capabilities of R to readers new to the software, taking 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. Inhaltsverzeichnis Preface ixAcknowledgments xiii1. Basic graphics 11.1 Introduction 11.2 Downloading and installation of R 11.3 Start-up of R, and construction and execution of r programs 31.4 Coordinate axes 111.5 Points and straight lines 151.6 Reuse of graphs produced by R 161.7 Text 241.8 Various points and straight lines 271.9 Fonts 341.10 Figures such as circles and rectangles 361.11 Legends and Logarithmic plots 411.12 Bar charts 421.13 Pie charts 451.14 Layout of multiple graphs 461.15 Summary 60Exercises 622. Graphics for statistical analysis 652.1 Introduction 652.2 Stem-and-leaf displays 662.3 Histograms and probability density functions 672.4 Strip chart 732.5 Boxplots 752.6 Multiple-axis layouts 802.7 Display of confidence intervals 912.8 Scatter plot matrices 932.9 Radar charts and parallel charts 952.10 Functions of one variable 972.11 Functions of two variables 1002.12 Map graphs 1082.13 Histograms of two variables 1132.14 Time series graphs of two variables 1162.15 Implicit functions 1192.16 Probability density functions 1212.17 Differential values ...
