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