An Introduction to S-PLUS Describing Data Basic Inference Scatterplots, Simple Regression and Smoothing Analysis of Variance and Covariance The Analysis of Longitudinal Data More Graphics Multiple Linear Regression Generalized Linear Models I: Logistic Regression Generalized Linear Models II: Poisson Regression Linear Mixed Models I Linear Mixed Models II Generalized Additive Models Nonlinear models Regression Trees · Survival Analysis I · Survival Analysis II: Cox's Regression Principal Components and Factor Analysis Cluster Analysis Discriminant Function Analysis The S-PLUS GUI
Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the book contain extensive graphical analysis to highlight one of the prime features of S-PLUS. Written with few details of S-PLUS and less technical descriptions, the book concentrates solely on medical data sets, demonstrating the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.
This book concentrates solely on medical data sets trying to demonstrate the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.