Statistical testing with R

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Features Worked examples from the behavioral and social sciences Clearly written, without mathematical formulae Well-structured, for beginners and intermediate readers Assumes no knowledge of R or programming ('coding') Comprehensive chapter on categorical analysis - not just 'Chi squared' Effect sizes and confidence intervals Clear explanation of factor analysis Covers MANOVA, cluster analysis, logistic regression, survival analysis and partial correlations Introduces Bayesian statistics Reproduces a well-received short chapter on making presentations Data sets and case studies on the website