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Beginning R : an introduction to statistical programming /

"Beginning R: An Introduction to Statistical Programming shows you how to use this open-source language and take advantage of its extensive statistical and graphing capabilities. Indeed, R has become the de facto standard for doing, teaching, and learning computational statistics. With this boo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pace, Larry, 1948-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [New York] : Apress : Distributed to the Book trade worldwide by Springer Science+Business Media, Ã2012.
Colección:Expert's voice in programming.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Getting R and getting started
  • Programming in R
  • Writing reusable functions
  • Summary statistics
  • Creating tables and graphs
  • Discrete probability distributions
  • Computing normal probabilities
  • Creating confidence intervals
  • Performing t tests
  • One-way analysis of variance
  • Advanced analysis of variance
  • Correlation and regression
  • Multiple regression
  • Logistic regression
  • Chi-square tests
  • Nonparametric tests
  • Using R for simulation
  • The "new" statistics: resampling and bootstrapping
  • Making an R package
  • The R Commander package.