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R for everyone : advanced analytics and graphics /
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 R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solut...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Second edition. :
Pearson Education Limited (US titles),
[date of publication not identified]
Upper Saddle River, NJ : Addison-Wesley, [2017] |
| Colección: | Addison-Wesley data and analytics series.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
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.