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Author Takezawa, Kunio
Title Guidebook to R Graphics Using Microsoft Windows
Imprint Hoboken : Wiley, 2012
book jacket
Edition 1st ed
Descript 1 online resource (280 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Note Intro -- Guidebook to R Graphics Using Microsoft® Windows -- CONTENTS -- Preface -- Acknowledgments -- 1 Basic Graphics -- 1.1 Introduction -- 1.2 Downloading and installation of R -- 1.3 Start-up of R, and construction and execution of R programs -- 1.4 Coordinate axes -- 1.5 Points and straight lines -- 1.6 Reuse of graphs produced by R -- 1.7 Text -- 1.8 Various points and straight lines -- 1.9 Fonts -- 1.10 Figures such as circles and rectangles -- 1.11 Legends and logarithmic plots -- 1.12 Bar charts -- 1.13 Pie charts -- 1.14 Layout of multiple graphs -- 1.15 Summary -- Exercises -- 2 Graphics for Statistical Analysis -- 2.1 Introduction -- 2.2 Stem-and-leaf displays -- 2.3 Histograms and probability density functions -- 2.4 Strip chart -- 2.5 Boxplots -- 2.6 Multiple-axis layouts -- 2.7 Display of confidence intervals -- 2.8 Scatter plot matrices -- 2.9 Radar charts and parallel charts -- 2.10 Functions of one variable -- 2.11 Functions of two variables -- 2.12 Map graphs -- 2.13 Histograms of two variables -- 2.14 Time series graphs of two variables -- 2.15 Implicit functions -- 2.16 Probability density functions -- 2.17 Differential values and values of integrals -- 2.18 Summary -- Exercises -- 3 Interactive R Programs -- 3.1 Introduction -- 3.2 Positioning by mouse on a graphics window -- 3.3 Inputting values on the console window to draw a graph -- 3.4 Reading data from a data file -- 3.5 Moving data on a natural spline -- 3.6 Understanding simple regression -- 3.7 Adjusting three-dimensional graphs -- 3.8 Constructing polynomial regression equations interactively -- 3.9 Understanding local linear regression -- 3.10 Summary -- Exercises -- 4 Graphics Obtained Using Packages Based on R -- 4.1 Introduction -- 4.2 Package "rimage -- 4.3 Package "gplots -- 4.4 Package "ggplot2 -- 4.5 Package "scatterplot3d -- 4.6 Package "rgl
4.7 Package "misc3d -- 4.8 Package "aplpack -- 4.9 Package "vegan -- 4.10 Package "tripack -- 4.11 Package "ade4 -- 4.12 Package "vioplot -- 4.13 Package "plotrix -- 4.14 Package "rworldmap -- Exercises -- 5 Appendix -- A.l Digital files -- A.2 Free software -- A.3 Data -- Index
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
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
Link Print version: Takezawa, Kunio Guidebook to R Graphics Using Microsoft Windows Hoboken : Wiley,c2012 9781118026397
Subject Microsoft Windows (Computer file);Computer graphics.;R (Computer program language)
Electronic books
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