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dc.contributor.authorDalgaard, Peter
dc.date.accessioned2020-04-28T10:13:43Z
dc.date.available2020-04-28T10:13:43Z
dc.date.issued2008
dc.identifier.isbn978-0-387-79054-1
dc.identifier.urihttp://ir.mksu.ac.ke/handle/123456780/5988
dc.description.abstractR is a statistical computer program made available through the Internet under the General Public License (GPL). That is, it is supplied with a licensethatallowsyoutouseitfreely,distributeit,orevensellit,aslongas the receiver has the same rights and the source code is freely available. It exists for Microsoft Windows XP or later, for a variety of Unix and Linux platforms, and for Apple Macintosh OS X. R provides an environment in which you can perform statistical analysis and produce graphics. It is actually a complete programming language, although that is only marginally described in this book. Here we content ourselves with learning the elementary concepts and seeing a number of cookbook examples. R is designed in such a way that it is always possible to do further computations on the results of a statistical procedure. Furthermore, the design for graphical presentation of data allows both no-nonsense methods, for example plot(x,y), and the possibility of fine-grained control of the output’s appearance. The fact that R is based on a formal computer language gives it tremendous flexibility. Other systems present simpler interfaces in terms of menus and forms, but often the apparent userfriendlinessturnsintoahindranceinthelongerrun.Althoughelementary statistics is often presented as a collection of fixed procedures, analysis of moderately complex data requires ad hoc statistical model building, which makes the added flexibility of R highly desirable.en_US
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesStatistics and Computing;
dc.subjectStatistical computer programen_US
dc.titleIntroductory Statistics with Ren_US
dc.typeBooken_US


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