Front Cover; Contents; Preface; Part I: An Overview of R; 1. Main Concepts; 2. Preparing Data; 3. R Graphics; 4. Making Programs with R; Part II: Statistical Methods; Introduction to the Statistical Methods Part; 5. A Quick Start with R; 6. Hypothesis Test; 7. Regression; 8. Analysis of Variance and Covariance; 9. Classification; 10. Exploratory Multivariate Analysis; 11. Clustering; Appendix; Bibliography
Summary
An Overview of RMain ConceptsInstalling RWork SessionHelpR ObjectsFunctionsPackagesExercisesPreparing DataReading Data from FileExporting ResultsManipulating VariablesManipulating IndividualsConcatenating Data TablesCross-TabulationExercisesR GraphicsConventional Graphical FunctionsGraphical Functions with latticeExercisesMaking Programs with RControl FlowsPredefined FunctionsCreating a FunctionExercisesStatistical MethodsIntroduction to the Statistical MethodsA Quick Start with RInstalling ROpening and Closing RThe Command PromptAttribution, Objects, and FunctionSelectionOther Rcmdr PackageIm
