TY - BOOK ID - 584244 TI - The R book PY - 2013 SN - 9780470973929 PB - Chichester, England : Wiley, DB - UniCat KW - Programming KW - Computer assisted instruction KW - Mathematical statistics KW - Traitement des données KW - Data processing KW - Méthode statistique KW - Statistical methods KW - Application des ordinateurs KW - computer applications KW - Analyse de données KW - Data analysis KW - Logiciel KW - Computer software KW - R (Computer program language) KW - Data processing. KW - MET Methods & Techniques KW - Computer program languages KW - -681.3*G3 KW - 004 KW - Mathematics KW - Statistical inference KW - Statistics, Mathematical KW - Statistics KW - Probabilities KW - Sampling (Statistics) KW - Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) KW - 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) KW - #SBIB:303H520 KW - #SBIB:303H4 KW - Methoden sociale wetenschappen: techniek van de analyse, algemeen KW - Informatica in de sociale wetenschappen KW - 681.3*G3 KW - GNU-S (Computer program language) KW - Domain-specific programming languages UR - https://www.unicat.be/uniCat?func=search&query=sysid:584244 AB - "Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help implement such large data sets. R has become an essential tool for understanding and carrying out research.This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition:'...if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.' (The American Statistician, August 2008)'The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book...' (Professional Pensions, July 2007) "-- "This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics"-- ER -