Introduction * Data Manipulation * The S Language * Graphics * Univariate Statistics * Linear Statistical Models * Generalized Linear Models * Non-linear and Smooth Regression * Tree-based Methods * Random and Mixed Effects * Exploratory Multivariate Analysis * Classification * Survival Analysis * Time Series Analysis * Spatial Statistics * Optimization
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
・Rの構造方程式モデリングで数値データの関係性を可視化する[2019-03-02に投稿]