Discrete Data Analysis with R

Discrete Data Analysis with R
Author: Michael Friendly
Publisher: CRC Press
Total Pages: 700
Release: 2015-12-16
Genre: Mathematics
ISBN: 1498725864


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An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete 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 meth


Discrete Data Analysis with R
Language: en
Pages: 700
Authors: Michael Friendly
Categories: Mathematics
Type: BOOK - Published: 2015-12-16 - Publisher: CRC Press

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An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categori
Exact Analysis of Discrete Data
Language: en
Pages: 1066
Authors: Karim F. Hirji
Categories: Mathematics
Type: BOOK - Published: 2005-11-18 - Publisher: CRC Press

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Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorica
Learning Statistics with R
Language: en
Pages: 617
Authors: Daniel Navarro
Categories: Computers
Type: BOOK - Published: 2013-01-13 - Publisher: Lulu.com

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"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac
Modeling Discrete Time-to-Event Data
Language: en
Pages: 252
Authors: Gerhard Tutz
Categories: Mathematics
Type: BOOK - Published: 2016-06-14 - Publisher: Springer

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This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical re