Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Chapman & Hall/CRC Texts in Statistical Science)

Michael Friendly, David Meyer

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Chapman & Hall/CRC Texts in Statistical Science)
  • 出版商: Chapman and Hall/CRC
  • 出版日期: 2015-12-17
  • 售價: $4,710
  • 貴賓價: 9.5 折 $4,475
  • 語言: 英文
  • 頁數: 562
  • 裝訂: Hardcover
  • ISBN: 149872583X
  • ISBN-13: 9781498725835
  • 相關分類: R 語言、Data Science

    • 立即出貨(限量) (庫存=1)

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商品描述

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results.

 

The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to organize data, conduct an analysis, produce informative graphs, and evaluate what the graphs reveal about the data.

 

The first part of the book contains introductory material on graphical methods for discrete data, basic R skills, and methods for fitting and visualizing one-way discrete distributions. The second part focuses on simple, traditional nonparametric tests and exploratory methods for visualizing patterns of association in two-way and larger frequency tables. The final part of the text discusses model-based methods for the analysis of discrete data.

Web Resource
The data sets and R software used, including the authors’ own vcd and vcdExtra packages, are available at http://cran.r-project.org.

商品描述(中文翻譯)

《應用現代圖形方法分析類別數據》

《使用R進行離散數據分析：類別和計數數據的可視化和建模技術》介紹了一種應用現代方法分析類別數據（包括離散響應數據和頻率數據）的方法。本書解釋了如何使用圖形方法探索數據、發現異常特徵、可視化擬合模型和呈現結果。

本書適用於社會科學、健康科學、流行病學、經濟學、商業學、統計學和生物統計學的高年級本科生和研究生，以及研究人員、方法學家和顧問，他們可以將這些方法應用於自己的數據和分析中。除了描述必要的統計理論外，作者還演示了這些技術在大量實際問題中的實際應用，包括如何組織數據、進行分析、生成有信息量的圖形以及評估圖形對數據的揭示。

本書的第一部分包含關於離散數據的圖形方法、基本的R技巧以及擬合和可視化單向離散分布的方法的入門材料。第二部分重點介紹了簡單的傳統非參數檢驗和探索性方法，用於可視化二元和更大的頻率表中的關聯模式。本書的最後一部分討論了基於模型的離散數據分析方法。

《網絡資源》
本書使用的數據集和R軟件，包括作者自己的vcd和vcdExtra包，可在http://cran.r-project.org上獲得。

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