This text explores the use of R for classical statistical analysis. The first half of the book introduces R, data manipulation and visualization, statistical models, graphics, and R programming. The second half presents various statistical analysis techniques by first introducing the data example, then describing the problem to solve, and finally conducting the analysis using R. This example-based approach enables readers to replicate the analyses using their own data. Some of the techniques covered include simple regression, multiple regression, ANOVA, logistic regression, principal component analysis, and clustering.
