R for statistics

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 PackageImporting (or Inputting) DataGraphsStatistical AnalysisHypothesis TestConfidence Intervals for a MeanChi-Square Test of IndependenceComparison of Two MeansTesting Conformity of a ProportionComparing Several ProportionsThe Power of a TestRegressionSimple Linear RegressionMultiple Linear RegressionPartial Least Squares (PLS) RegressionAnalysis of Variance and CovarianceOne-Way Analysis of VarianceMulti-Way Analysis of Variance with InteractionAnalysis of CovarianceClassificationLinear Discriminant AnalysisLogistic RegressionDecision TreeExploratory Multivariate AnalysisPrincipal Component AnalysisCorrespondence AnalysisMultiple Correspondence AnalysisClusteringAscending Hierarchical ClusteringThe k-Means MethodAppendixThe Most Useful FunctionsWriting a Formula for the ModelsThe Rcmdr PackageThe FactoMineR PackageAnswers to the Exercises.