The R book

The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enablin...

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Detalles Bibliográficos
Autor principal: Crawley, Michael J. (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Chichester, England ; Hoboken, N.J. : Wiley 2007.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009626977906719
Tabla de Contenidos:
  • The R Book; Contents; Preface; 1 Getting Started; 2 Essentials of the R Language; 3 Data Input; 4 Dataframes; 5 Graphics; 6 Tables; 7 Mathematics; 8 Classical Tests; 9 Statistical Modelling; 10 Regression; 11 Analysis of Variance; 12 Analysis of Covariance; 13 Generalized Linear Models; 14 Count Data; 15 Count Data in Tables; 16 Proportion Data; 17 Binary Response Variables; 18 Generalized Additive Models; 19 Mixed-Effects Models; 20 Non-linear Regression; 21 Tree Models; 22 Time Series Analysis; 23 Multivariate Statistics; 24 Spatial Statistics; 25 Survival Analysis; 26 Simulation Models
  • 27 Changing the Look of GraphicsReferences and Further Reading; Index