摘要: Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design applies these to engaging examples using functions available in R. It offers a wide array displays presentation data, including modern tools data visualization representation. The book considers single discrete variable, continuous then two or more each these. includes code producing dot chart, bar pictographs, stemplot, boxplot, variations on quantile-quantile plot. author discusses nonparametric parametric density estimation, diagnostic plots simple linear regression model, polynomial regression, locally weighted smooth curve through scatterplot. last chapter illustrates visualizing multivariate Trellis graphics. Showing how use graphics display summarize this text provides best practice guidelines choosing among displays. also covers most effective graphing is download books website.