The R codes are available for download on the website. The chapters also contain many exercises with solutions and hints presented in the Appendix. The book is an exposition of statistical methodology that focuses on ideas and concepts and makes extensive use of graphical presentation, but readers should have some prior experience of statistical methodology. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional Statistician TM by the Statistical Society of Canada and the American Statistical Association. Provides downloadable R code and data for figures at Kevin J.Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation diagnostic plots for the simple linear regression model polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve Trellis graphics for multivariate data.Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R.Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print. It offers a wide array of modern graphical displays for data visualization and representation. Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. … It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display.' -Han Lin Shang, Journal of Applied Statistics

In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers’ understanding of the graphical techniques discussed in the book. 'The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data.

Statistical tools for data analysis r