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PrefaceR BasicsChapter 1: Getting and Installing RChapter 2: The R User InterfaceChapter 3: A Short R TutorialChapter 4: R PackagesThe R LanguageChapter 5: An Overview of the R LanguageChapter 6: R SyntaxChapter 7: R ObjectsChapter 8: Symbols and EnvironmentsChapter 9: FunctionsChapter 10: Object-Oriented ProgrammingWorking with DataChapter 11: Saving, Loading, and Editing DataChapter 12: Preparing DataData VisualizationChapter 13: GraphicsChapter 14: Lattice GraphicsChapter 15: ggplot2Statistics with RChapter 16: Analyzing DataChapter 17: Probability DistributionsChapter 18: Statistical TestsChapter 19: Power TestsChapter 20: Regression ModelsChapter 21: Classification ModelsChapter 22: Machine LearningChapter 23: Time Series AnalysisAdditional TopicsChapter 24: Optimizing R ProgramsChapter 25: BioconductorChapter 26: R and HadoopR ReferenceBibliographyColophon
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Add R in a Nutshell, If you're considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You'll learn how to write R functions an, R in a Nutshell to the inventory that you are selling on WonderClubX
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Add R in a Nutshell, If you're considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You'll learn how to write R functions an, R in a Nutshell to your collection on WonderClub |