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Guidebook to R Graphics Using Microsoft Windows,9781118026397
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Guidebook to R Graphics Using Microsoft Windows

by
Edition:
1st
ISBN13:

9781118026397

ISBN10:
111802639X
Format:
Paperback
Pub. Date:
3/13/2012
Publisher(s):
Wiley
List Price: $77.86

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This is the 1st edition with a publication date of 3/13/2012.
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  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

Summary

Basic Introduction to R Graphics Using 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.

Author Biography

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.

Table of Contents

Prefacep. ix
Acknowledgmentsp. xiii
Basic Graphicsp. 1
Introductionp. 1
Downloading and installation of Rp. 1
Start-up of R, and construction and execution of R programsp. 3
Coordinate axesp. 11
Points and straight linesp. 14
Reuse of graphs produced by Rp. 16
Textp. 24
Various points and straight linesp. 27
Fontsp. 34
Figures such as circles and rectanglesp. 35
Legends and logarithmic plotsp. 41
Bar chartsp. 42
Pie chartsp. 45
Layout of multiple graphsp. 46
Summaryp. 60
Exercisesp. 62
Graphics for Statistical Analysisp. 65
Introductionp. 65
Stem-and-leaf displaysp. 66
Histograms and probability density functionsp. 67
Strip chartp. 73
Boxplotsp. 75
Multiple-axis layoutsp. 80
Display of confidence intervalsp. 91
Scatter plot matricesp. 93
Radar charts and parallel chartsp. 95
Functions of one variablep. 97
Functions of two variablesp. 100
Map graphsp. 108
Histograms of two variablesp. 113
Time series graphs of two variablesp. 116
Implicit functionsp. 119
Probability density functionsp. 121
Differential values and values of integralsp. 124
Summaryp. 132
Exercisesp. 133
Interactive R Programsp. 139
Introductionp. 139
Positioning by mouse on a graphics windowp. 140
Inputting values on the console window to draw a graphp. 143
Reading data from a data filep. 156
Moving data on a natural splinep. 158
Understanding simple regressionp. 166
Adjusting three-dimensional graphsp. 175
Constructing polynomial regression equations interactivelyp. 180
Understanding local linear regressionp. 183
Summaryp. 188
Exercisesp. 190
Graphics Obtained Using Packages Based on Rp. 193
Introductionp. 193
Package "rimage"p. 194
Package "gplots"p. .195
Package "ggplot2"p. 200
Package "scatterplot3d"p. 203
Package "rgl"p. 207
Package "misc3d"p. 221
Package "aplpack"p. 232
Package "vegan"p. 234
Package "tripack"p. 236
Package "ade4"p. 238
Package "vioplot"p. 241
Package "plotrix"p. 243
Package "rworldmap"p. 247
Exercisesp. 249
Appendixp. 253
Digital filesp. 253
Free softwarep. 254
Datap. 254
Indexp. 257
Table of Contents provided by Ingram. All Rights Reserved.


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