The R book.
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Chichester : Wiley,
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Resumen
Descripción
Incluye referencias bibliográficas.
Analysis of covariance
Analysis of variance
Binary response variables
Changing the look of graphics
Classical tests
Count data
Count data in tables
Data input
Dataframes
Essentials of the R language
Generalized additive models
Generalized linear models
Getting started
Graphics
Mathematics
Mixed-effects models
Multivariate statistics
Non-linear regression
Proportion data
Regression
Simulation models
Spatial statistics
Statistical modelling
Survival analysis
Tables
Time series analysis
Tree models
Analysis of covariance
Analysis of variance
Binary response variables
Changing the look of graphics
Classical tests
Count data
Count data in tables
Data input
Dataframes
Essentials of the R language
Generalized additive models
Generalized linear models
Getting started
Graphics
Mathematics
Mixed-effects models
Multivariate statistics
Non-linear regression
Proportion data
Regression
Simulation models
Spatial statistics
Statistical modelling
Survival analysis
Tables
Time series analysis
Tree models
Palabras clave
Lenguaje de programación., Procesamiento de datos., Estadísticas.