Synopsis
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
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