R For Dummies:
Still trying to wrap your head around R?With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most s...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[s.l.]
For Dummies
2012
|
| Edition: | 2. Aufl. |
| Subjects: | |
| Online Access: | HWR01 |
| Summary: | Still trying to wrap your head around R?With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.Includes tips for the initial installation of RDemonstrates how to easily perform calculations on vectors, arrays, and lists of dataShows how to effectively visualize data using R's powerful graphics packagesGives pointers on how to find, install, and use add-on packages created by the R communityProvides tips on getting additional help from R mailing lists and websitesWhether you're just starting out with statistical analysis or are a procedural programming pro, R For Dummiesis the book you need to get the most out of R. |
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| spelling | De Vries, Andrie Verfasser (DE-588)106939100X aut R For Dummies 2. Aufl. [s.l.] For Dummies 2012 txt rdacontent c rdamedia cr rdacarrier Still trying to wrap your head around R?With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.Includes tips for the initial installation of RDemonstrates how to easily perform calculations on vectors, arrays, and lists of dataShows how to effectively visualize data using R's powerful graphics packagesGives pointers on how to find, install, and use add-on packages created by the R communityProvides tips on getting additional help from R mailing lists and websitesWhether you're just starting out with statistical analysis or are a procedural programming pro, R For Dummiesis the book you need to get the most out of R. Online-Ausgabe Online Ressource (PDF, 15843 KB, 352 S.) Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s 2\p DE-604 Meys, Joris Verfasser (DE-588)1032934379 aut Reproduktion von De Vries, Andrie R For Dummies 2012 Erscheint auch als Druck-Ausgabe 1-11-996284-6 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | De Vries, Andrie Meys, Joris R For Dummies Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4705956-4 (DE-588)4151278-9 |
| title | R For Dummies |
| title_auth | R For Dummies |
| title_exact_search | R For Dummies |
| title_full | R For Dummies |
| title_fullStr | R For Dummies |
| title_full_unstemmed | R For Dummies |
| title_short | R For Dummies |
| title_sort | r for dummies |
| topic | Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Datenanalyse R Programm Einführung |
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