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A Handbook of Statistical Analyses Using R

Brian S. Everitt, Torsten Hothorn




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 | #2485837 in Books |  2006-02-17 | Original language:English | PDF # 1 |  .62 x5.94 x9.16l,.0 | File type: PDF | 304 pages

||44 of 44 people found the following review helpful.| Practical examples of using R for analysis|By Livre Sobriquet|When it comes to working with statistics, R is a great tool to have at your disposal. Sadly, there is a shortage of information that closes the gap between the simplistic examples used to learn data analysis with R and the more complicated techniques necessary to use R when working with more complex data sets. |Useful examples are presented to assist understanding. …Everitt and Hothorn have written an excellent tutorial on using R to analyze data using a wide range of standard statistical methods. They use numerous examples throughout the text, present 100 fig

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.

Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions o...

You easily download any file type for your device.A Handbook of Statistical Analyses Using R   |  Brian S. Everitt, Torsten Hothorn.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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