Guidebook to R Graphics Using Microsoft(R) Windows

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.

Preface ix Acknowledgments xiii 1. Basic graphics 1 1.1 Introduction 1 1.2 Downloading and installation of R 1 1.3 Start-up of R, and construction and execution of r programs 3 1.4 Coordinate axes 11 1.5 Points and straight lines 15 1.6 Reuse of graphs produced by R 16 1.7 Text 24 1.8 Various points and straight lines 27 1.9 Fonts 34 1.10 Figures such as circles and rectangles 36 1.11 Legends and Logarithmic plots 41 1.12 Bar charts 42 1.13 Pie charts 45 1.14 Layout of multiple graphs 46 1.15 Summary 60 Exercises 62 2. Graphics for statistical analysis 65 2.1 Introduction 65 2.2 Stem-and-leaf displays 66 2.3 Histograms and probability density functions 67 2.4 Strip chart 73 2.5 Boxplots 75 2.6 Multiple-axis layouts 80 2.7 Display of confidence intervals 91 2.8 Scatter plot matrices 93 2.9 Radar charts and parallel charts 95 2.10 Functions of one variable 97 2.11 Functions of two variables 100 2.12 Map graphs 108 2.13 Histograms of two variables 113 2.14 Time series graphs of two variables 116 2.15 Implicit functions 119 2.16 Probability density functions 121 2.17 Differential values and values of integrals 124 2.18 Summary 132 Exercises 133 3. Interactive R programs 139 3.1 Introduction 139 3.2 Positioning by mouse on a graphics window 140 3.3 Inputting values on the console window to draw a graph 143 3.4 Reading data from a data file 156 3.5 Moving data on a natural spline 158 3.6 Understanding simple regression 166 3.7 Adjusting three-dimensional graphs 175 3.8 Constructing polynomial regression equations interactively 180 3.9 Understanding local linear regression 183 3.10 Summary 188 Exercises 190 4. Graphics obtained using packages based on R 193 4.1 Introduction 193 4.2 Package "rimage" 194 4.3 Package "gplots" 195 4.4 Package "ggplot2" 200 4.5 Package "scatterplot3d" 203 4.6 Package "rgl" 207 4.7 Package "misc3d" 221 4.8 Package "aplpack" 232 4.9 Package "vegan" 234 4.10 Package "tripack" 236 4.11 Package "ade4" 238 4.12 Package "vioplot" 241 4.13 Package "plotrix" 243 4.14 Package "rworldmap" 247 Exercises 249 5. Appendix 253 A.1 Digital files 253 A.2 Free software 254 A.3 Data 254