SAS and R: Data Management, Statistical Analysis, and Graphics

作者: Nicholas J. Horton , Ken Kleinman

DOI:

关键词: Task (computing)SAS languageSearch engine indexingInformation retrievalIndex (publishing)Data scienceData managementComputer scienceResource (project management)GraphicsSoftware documentation

摘要: An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS R: Data Management, Statistical Analysis, Graphics presents an easy way learn how perform analytical task in both R, without having navigate through the extensive, idiosyncratic, sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, creation of graphics, along with more complex applications.Takes innovative, easy-to-understand, dictionary-like approachThrough extensive indexing, cross-referencing, worked examples this text, users can directly find implement material they need. enables mobility two systems: look up tasks index then associated code while benefit from similar manner. Demonstrating action facilitating exploration, authors present example analyses employ single set HELP study. They offer sets download on books website.

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