Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Chapman & Hall/CRC Texts in Statistical Science)
暫譯: 使用 R 進行離散數據分析:類別數據和計數數據的可視化與建模技術 (Chapman & Hall/CRC 統計科學系列)
Michael Friendly, David Meyer
- 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 (庫存=1)
買這商品的人也買了...
-
$880$695 -
$650$585 -
$480$379 -
$680$537 -
$780$616 -
$780$702 -
$420$357 -
$650$507 -
$580$458 -
$500$425 -
$699$594 -
$550$468 -
$474$450 -
$500$425 -
$480$408 -
$550$435 -
$380$323 -
$390$257 -
$680$578 -
$580$458 -
$450$383 -
$420$357 -
$480$408 -
$450$356 -
$390$332
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)
《現代圖形方法在類別數據分析中的應用處理》
《使用 R 進行離散數據分析:類別數據和計數數據的可視化與建模技術》提供了對類別數據分析的現代方法的應用處理,包括離散反應數據和頻率數據。它解釋了如何使用圖形方法來探索數據、發現異常特徵、可視化擬合模型以及呈現結果。
本書旨在為社會科學和健康科學、流行病學、經濟學、商業、統計學和生物統計學的高年級本科生和研究生,以及能夠將這些方法應用於自身數據和分析的研究人員、方法學家和顧問提供指導。除了描述必要的統計理論外,作者還展示了這些技術在大量實質性問題中的實際應用,包括如何組織數據、進行分析、生成信息圖表以及評估圖表所揭示的數據信息。
本書的第一部分包含有關離散數據的圖形方法、基本 R 技能以及擬合和可視化單向離散分佈的方法的入門材料。第二部分專注於簡單的傳統非參數檢驗和探索性方法,以可視化二維及更大頻率表中的關聯模式。文本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
所使用的數據集和 R 軟件,包括作者自己的 vcd 和 vcdExtra 套件,可在 http://cran.r-project.org 獲得。