Guidebook to R Graphics Using Microsoft Windows

Transcription

1 Brochure More information from Guidebook to R Graphics Using Microsoft Windows Description: Introduces the graphical capabilities of R to readers new to the software Due 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 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 packages Throughout 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 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. Contents: Preface ix Acknowledgments xiii 1. Basic graphics Introduction Downloading and installation of R Start-up of R, and construction and execution of r programs Coordinate axes Points and straight lines Reuse of graphs produced by R Text Various points and straight lines Fonts 34

2 1.10 Figures such as circles and rectangles Legends and Logarithmic plots Bar charts Pie charts Layout of multiple graphs Summary 60 Exercises Graphics for statistical analysis Introduction Stem-and-leaf displays Histograms and probability density functions Strip chart Boxplots Multiple-axis layouts Display of confidence intervals Scatter plot matrices Radar charts and parallel charts Functions of one variable Functions of two variables Map graphs Histograms of two variables Time series graphs of two variables Implicit functions Probability density functions Differential values and values of integrals Summary 132 Exercises Interactive R programs Introduction Positioning by mouse on a graphics window Inputting values on the console window to draw a graph Reading data from a data file 156

3 3.5 Moving data on a natural spline Understanding simple regression Adjusting three-dimensional graphs Constructing polynomial regression equations interactively Understanding local linear regression Summary 188 Exercises Graphics obtained using packages based on R Introduction Package rimage Package gplots Package ggplot Package scatterplot3d Package rgl Package misc3d Package aplpack Package vegan Package tripack Package ade Package vioplot Package plotrix Package rworldmap 247 Exercises Appendix 253 A.1 Digital files 253 A.2 Free software 254 A.3 Data 254 Ordering: Order Online - Order by Fax - using the form below Order by Post - print the order form below and send to

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