Using R for Data Management, Statistical Analysis, and Graphics (Paperback)

Quick and Easy Access to Key Elements of Documentation
Includes worked examples across a wide variety of applications, tasks, and graphics

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics.

Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and R syntax. Demonstrating the R code in action and facilitating exploration, the authors present example analyses that employ a single data set from the HELP study. They also provide several case studies of more complex applications. Data sets and code are available for download on the book’s website.

Helping to improve your analytical skills, this book lucidly summarizes the aspects of R most often used by statistical analysts. New users of R will find the simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.

快速且輕鬆地存取文件的關鍵要素，包括各種應用、任務和圖形的實例。

《使用 R 進行資料管理、統計分析和圖形》提供了一種簡單的學習方式，讓您能在 R 中執行分析任務，而不必瀏覽繁瑣、特殊且有時難以掌握的軟體文件和大量的附加套件。本書以簡短、清晰的描述條目組織，涵蓋了許多常見任務，例如資料管理、描述性摘要、推論程序、迴歸分析、多變量方法和圖形的創建。

通過本書中的廣泛索引、交叉引用和實例，使用者可以直接找到並實施所需的材料。本書還包括按主題和 R 語法組織的方便索引。作者展示了 R 代碼的實際操作並促進了探索，並提供了使用 HELP 研究中的單一資料集進行的示例分析。他們還提供了幾個更複雜應用的案例研究。書中的資料集和代碼可在書籍網站上下載。

本書清晰地總結了統計分析師最常使用的 R 方面，有助於提升您的分析技能。新使用者會發現這種簡單的方法易於理解，而更複雜的使用者則會欣賞這個以任務為導向的寶貴資訊來源。