Introductory Statistics with R
| dc.contributor.author | Dalgaard, Peter | |
| dc.date.accessioned | 2020-04-28T10:13:43Z | |
| dc.date.available | 2020-04-28T10:13:43Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | R 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.identifier.isbn | 978-0-387-79054-1 | |
| dc.identifier.uri | http://ir.mksu.ac.ke/handle/123456780/5988 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.ispartofseries | Statistics and Computing; | |
| dc.subject | Statistical computer program | en_US |
| dc.title | Introductory Statistics with R | en_US |
| dc.type | Book | en_US |
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