作者: Nicholas J. Horton , Ken Kleinman
DOI:
关键词: Task (computing) 、 SAS language 、 Search engine indexing 、 Information retrieval 、 Index (publishing) 、 Data science 、 Data management 、 Computer science 、 Resource (project management) 、 Graphics 、 Software 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.