This is an applied handbook on analyzing and modeling categorical data using R. Every topic is explained using examples. It is intended for any research project that entails the use of categorical data. Although the examples are presented in R, their results and interpretations are applicable to any other software. The examples cover exploratory data analysis, contingency tables, hypothesis testing, ordinal data, logistic regression, multinomial logistic regression, ordinal logistic regression, poisson regression, and ...
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This is an applied handbook on analyzing and modeling categorical data using R. Every topic is explained using examples. It is intended for any research project that entails the use of categorical data. Although the examples are presented in R, their results and interpretations are applicable to any other software. The examples cover exploratory data analysis, contingency tables, hypothesis testing, ordinal data, logistic regression, multinomial logistic regression, ordinal logistic regression, poisson regression, and generalized models.
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