Graphics for Statistics and Data Analysis with R (Hardcover)

Kevin J. Keen

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商品描述

Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation.

The book considers graphical displays of a single discrete variable, a single continuous variable, and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart, bar chart, pictographs, stemplot, boxplot, and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation, diagnostic plots for the simple linear regression model, polynomial regression, and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics.

Showing how to use graphics to display or summarize data, this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R. R code is available for download on the book’s website.

商品描述(中文翻譯)

《使用R進行統計和數據分析的圖形》介紹了健全圖形設計的基本原則,並將這些原則應用於使用R中可用的圖形函數的引人入勝的示例中。它提供了各種用於呈現數據的圖形顯示,包括現代化的數據可視化和表示工具。

本書考慮了單一離散變量、單一連續變量以及兩個或更多這些變量的圖形顯示。它包括了點圖、長條圖、象形圖、莖葉圖、箱形圖以及分位數-分位數圖的顯示和生成這些顯示的R代碼。作者討論了非參數和參數密度估計,簡單線性回歸模型的診斷圖,多項式回歸以及在散點圖上生成平滑曲線的局部加權多項式回歸。最後一章通過使用Trellis圖形的示例來展示多變量數據的可視化。

本書展示了如何使用圖形來顯示或總結數據,並提供了製作和選擇圖形顯示的最佳實踐指南。它還介紹了R中最有效的繪圖函數。書中的R代碼可在書籍網站上下載。