Contents

Chapter 1    Introduction to R

Chapter 2    Programming in R

Chapter 3    From Data to Graphics

Chapter 4    Customizing graphics

Chapter 5    Factor Analysis: Around Principal Component Analysis(PCA)

Chapter 6    Clustering

Chapter 7    Probability Distributions

Chapter 8    Estimators and Statistical Tests

Chapter 9    Regression

Chapter 10    Other regressions

Chapter 11    Regression Problems – and their Solutions

Chapter 12    Generalized Linear Models: logistic regression, Poisson regression, etc.

Chapter 13    Analysis of Variance (Anova)

Chapter 14    Mixed Models

Chapter 15    Time series

Chapter 16    Miscellaneous

Chapter 17    Applications