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Book Memo: “Categorical Data Analysis by Example” | Data Analytics & R
"Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject. Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations."
book  recommendations  r  statistics  categories 
may 2017 by tsuomela
A Time for Treason – The New Inquiry
"A reading list created by a group of Black, Brown, Indigenous, Muslim, and Jewish people who are writers, organizers, teachers, anti-fascists, anti-capitalists, and radicals."
books  recommendations 
december 2016 by tsuomela
"Each day, Sciencescape streams thousands of breaking papers to scientists, clinicians, educators, and students around the world so that they can incorporate new ideas, findings, methods and technologies into their work. "
science  communication  community  collaboration  recommendations 
march 2015 by tsuomela
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