A handbook of statistical analyses using R - Info and Reading Options
By Brian Everitt
"A handbook of statistical analyses using R" was published by Chapman & Hall/CRC in 2006 - Boca Raton, it has 275 pages and the language of the book is English.
“A handbook of statistical analyses using R” Metadata:
- Title: ➤ A handbook of statistical analyses using R
- Author: Brian Everitt
- Language: English
- Number of Pages: 275
- Publisher: Chapman & Hall/CRC
- Publish Date: 2006
- Publish Location: Boca Raton
“A handbook of statistical analyses using R” Subjects and Themes:
- Subjects: ➤ Data processing - Handbooks, manuals - Handbooks, manuals, etc - Mathematical statistics - R (Computer program language) - Programming languages (electronic computers) - Statistique mathématique - Guides, manuels - Informatique - R (Langage de programmation) - MATHEMATICS - Probability & Statistics - General - Statistische methoden - R (computerprogramma) - Statistics - Statistics as Topic - Programming Languages - Statistiques - Langages de programmation - Applied - R - Statistische Analyse - Matematisk statistik - Handböcker, manualer - Databehandling - Statistisk metod - Software - Mathematical Computing - Statistical Data Interpretation - Mathematical statistics--data processing - Mathematical statistics--data processing--handbooks, manuals, etc - R (computer program language)--handbooks, manuals, etc - Data interpretation, statistical [mesh] - Qa276.45.r3 e94 2010 - Qa 276.45 - 519.50285/5133 - Data interpretation, statistical - Qa276.45.r3 e94 2006
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL3431337M - OL1687735W
- Online Computer Library Center (OCLC) ID: 71230288 - 62421330
- Library of Congress Control Number (LCCN): 2005056944
- ISBN-10: 1584885394
- All ISBNs: 1584885394
AI-generated Review of “A handbook of statistical analyses using R”:
"A handbook of statistical analyses using R" Description:
The Open Library:
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.
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