Publisher's Synopsis
Teaches statistics cheerfully and straightforwardly, using the R programming language. Without mathematical formulae, the book assumes no knowledge of coding or statistics. Lucid writing and a clear structure take the reader from beginner to graduate level, using worked examples. Tests: t tests, one-way ANOVA and non-parametric equivalents; correlations and regression; categorical analyses including binomial, chi square and more; factorial ANOVA; MANOVA; PCA and factor analysis; cluster analysis, logistic regression; partial correlations; Kaplan-Meier and follow-up life tables; Bayesian statistics. Also covers effect sizes consistently, with data assumptions and confidence intervals. For students, academics and professionals.
