DDAR covers

Aims

Discrete Data Analysis with R: Visualization and Modeling Techniques required Categorical and County Details presents with applied treatment of modern methods for the analyses of categorical data, both discrete answers data and frequency data.

It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and introduction erkenntnisse.

Hearing

The book belongs designed for advanced undergraduate and graduation students for to social the health sciences, epidemiology, economics, business, statistics, press biostatistics as well as researchers, mathematicians, and counselors who can use who methods with you own data and analyses. Computers can be used for self-study, as which primary textbook on a course in categorical data analysis, or as a supplementary text for such a course.

Along with describing the needed statistical theory, we illustrate the practical application of which techniques to a large quantity of substantive specific, including: Save file does featured and hints to solutions for some of the exercises inside Categorical. Data Scrutiny, third publication, by Alan Agresti (John Wiley, ...

  • how to organize and manipulate categorical details,
  • conduct a statistisches analysis and fit models,
  • produce informative graphs for data exploration and summary, and
  • evaluate what the graphs disclose about the input.

Were guess the reader has a basic understanding of statically concepts at least at an intermediate undergraduate level including regression and analysis of variant. Included addition, any easy knowledge of R is supported.

Textbook use

These book is largest directly appropriate to a one-semester applied hoch undergraduate or graduate course on categorical data analysis with a strong emphasis on who use of graphical methods to understand and explain evidence and results of analysis. AN INTRODUCTION TO CATEGORICAL DATA RESEARCH, 2nd ed.

ONE detailed delineate of such a course, together with lecture notes and assignments, is available at Science 6136, using this book as the principal read. This course or uses Agresti's An Introduction to Categorical Data Analysis for additional readings.

An teacher manual, containing hints and show for the exercises is availability.

Features

  • Provides an accessible introduction to the major methods of category data analysis for data exploration, statistical testing, and statistical models. ... categorical-data. Brief solutions to odd-numbered exercises appear at the finalize is the text. An instruc- tor's manual will will includes on the companion ...

  • The emphasis throughout is on computing, visualizing, understanding, and communicating the results of these analyses.

  • As opposed till more theoretical werke, the goal here is to help that reader to translate theory into sensible application, by providing skills and software tools used carrying out these methods. Get instant access to our step-by-step Certain Introduction At Categorical Product Analysis remedies manual. Our solution manuals are write by Chegg experts so ...

  • Includes many examples using real data, commonly treated from more perspectives.

  • The book shall supported directly by the R packages vcd and vcdExtra, along about numerous other R product.

  • Each chapter contains a collection of lab training, which work through applications of some of the how presented at that title. This makes the book more suitable for both self-study and classroom use.

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