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Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data – eBook

SKU: discrete-data-analysis-with-r-visualization-and-modeling-techniques-for-categorical-and-count-data-ebook

Original price was: $80.20.Current price is: $14.00.

eBook details

  • Authors: Michael Friendly, David Meyer
  • File Size: 7 MB
  • Format: PDF
  • Length: 562 pages
  • Publisher: Chapman and Hall/CRC
  • Publication Date: December 16, 2015
  • Language: English
  • ASIN: B019FNKP1Q
  • ISBN-10: 149872583X
  • ISBN-13: 9781498725835
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Description

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data

Dive into the extensive realm of data analysis with Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (PDF). This comprehensive guide presents an in-depth treatment of innovative approaches tailored for the meticulous analysis of categorical data, covering both discrete response data and frequency data. The book expertly illustrates how to harness graphical techniques to explore data, identify anomalies, visualize model fittings, and effectively communicate results.

Designed specifically for advanced undergraduate and graduate students in fields such as social and health sciences, epidemiology, economics, statistics, business, and biostatistics, this ebook is also a valuable resource for researchers, methodologists, and consultants eager to apply these techniques to their unique datasets and analytical challenges. While the authors cover essential statistical theories, they also emphasize the practical applications of these methods across a wide array of relevant issues, including data organization, comprehensive analysis, creation of insightful graphs, and interpretation of the insights gleaned from the visual representations.

The structure of the ebook is thoughtfully organized for optimal learning. The first section introduces foundational concepts of graphical methods applicable to discrete data, reinforces basic R programming skills, and outlines strategies for fitting and visualizing one-way discrete distributions. Transitioning into the second section, the focus shifts to simple, traditional nonparametric tests and exploratory methods that unveil patterns of association within two-way and larger frequency tables. Finally, the concluding section dives into model-based methodologies for dissecting discrete data, thus providing a holistic view of the analytical landscape.

NOTE: This product includes the ebook, Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data in PDF format. Please be aware that access codes are not provided.

ISBN: 978-1-234567-89-0, 987-1-234567-89-1.

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