A handbook of statistical analyses using R
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Author
Contributions
- Hothorn, Torsten. - Contributor
Publication
2006 - Chapman & Hall/CRC, Boca Raton, Florida
Language
English
Word Count
68,750 words, Guess
Page Count
275 pages
Identifiers
- Open LibraryOL3431337M
- Internet Archivehandbookstatisti00hoth
- Internet Archivehandbookstatisti00ever_167
- Internet Archivehandbookstatisti00ever_643
- Internet Archivehandbookstatisti00hoth_464
and 7 more
- ISBN-139781584885399
- ISBN-101584885394
- Goodreads1149207
- Library of Congress Control Number2005056944
- OCLC Control Number71230288
- OCLC Control Number62421330
- Better World Books9781584885399
Classifications
- DDC519.50285/5133
- LCCQA276.45.R3 E94 2006
- LCCQA276.45.R3E94 2006
and 1 more
- LCCQA276.45.R3 E94 2006eb
Description
This book presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive.
Subjects
Topics
Genres
- Handbooks, manuals, etc
Other Editions
- A handbook of statistical analyses using R
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