R for everyone : advanced analytics and graphics

R for everyone advanced analytics and graphics

Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most...

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Detalles Bibliográficos
Otros Autores: Lander, Jared P., author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Upper Saddle River, NJ : Addison-Wesley [2017]
Edición:Second edition
Colección:Addison-Wesley data and analytics series.
Materias:
R (Computer program language)
Scripting languages (Computer science)
Statistics > Data processing.
Statistics > Graphic methods > Data processing.
Computer simulation.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630639706719
Tabla de Contenidos:
  • Getting R
  • The R environment
  • R packages
  • Basics of R
  • Advanced data structures
  • Reading data into R
  • Statistical graphics
  • Writing R functions
  • Control statements
  • Loops, the Un-R way to iterate
  • Group manipulation
  • Faster group manipulation with dplyr
  • Iterating with purrr
  • Data reshaping
  • Reshaping data in the Tidyverse
  • Manipualting strings
  • Probability distributions
  • Basic statistics
  • Linear models
  • Generalized linear models
  • Model diagnostics
  • Regularization and shrinkage
  • Nonlinear models
  • Time series and autocorrelation
  • Clustering
  • Model fitting with Caret
  • Reproducibility and reports with knitr
  • Rich documents with RMarkdown
  • Interactive dashboards with shiny
  • Building R packages
  • Real-life resources.

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