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"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 c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Jones, Elinor (Associate Professor) (Autor), Harden, Simon (Autor), Crawley, Michael J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons Ltd, 2023.
Edición:Third edition.
Temas:
R (Computer program language)
Mathematical statistics > Data processing.
R (Langage de programmation)
Statistique mathématique > Informatique.
Mathematical statistics > Data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1 Getting Started
  • Chapter 2 Technical Background
  • Chapter 3 Essentials of the R Language
  • Chapter 4 Data Input and Dataframes
  • Chapter 5 Graphics
  • Chapter 6 Graphics in More Detail
  • Chapter 7 Tables
  • Chapter 8 Probability Distributions in R
  • Chapter 9 Testing
  • Chapter 10 Regression
  • Chapter 11 Generalised Linear Models
  • Chapter 12 Generalised Additive Models
  • Chapter 13 Mixed-Effect Models
  • Chapter 14 Non-linear Regression
  • Chapter 15 Survival Analysis
  • Chapter 16 Designed Experiments
  • Chapter 17 Meta-Analysis
  • Chapter 18 Time Series
  • Chapter 19 Multivariate Statistics
  • Chapter 20 Classification and Regression Trees
  • Chapter 21 Spatial Statistics
  • Chapter 22 Bayesian Statistics
  • Chapter 23 Simulation Models

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