Statistical testing with R

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, exercises and case studies on the website