Abstract
R is not only a program for analyzing and visualizing data, it is an open and programmable software environment. It can not only easily access other programs written in a wide variety of languages, but also be accessed itself from other programs. As such, it can be seen as the computational Swiss army knife of statistics. Connecting a program to R can be surprisingly simple, and once the connection is established, the perhaps largest existing collection of statistical methodology is available through a unified interface. Embedding R can save a lot of human time by automating routine tasks, but more importantly, it often gives a simple way of making our methods accessible to a much wider audience.
Dokumententyp: | Paper |
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Fakultät: | Mathematik, Informatik und Statistik > Statistik > Technische Reports |
URN: | urn:nbn:de:bvb:19-epub-2085-2 |
Sprache: | Englisch |
Dokumenten ID: | 2085 |
Datum der Veröffentlichung auf Open Access LMU: | 20. Dez. 2007, 09:35 |
Letzte Änderungen: | 04. Nov. 2020, 12:46 |