R Lanugage Feature: Programming Language Features
* Requires Revolution R Enterprise
** Requires Revolution R Enterprise for IBM Netezza
*** Requires additional open-source community packages from CRAN
Input / Output
- Files
- text files (r/w)
- .csv files (r/w)
- binary files (r/w)
- SAS .sas7bdat files (r) *
- SPSS .sav files (r)*
- URLs (r)
- XML (r/w)
- Database Connectivity
- Hadoop*
- MySQL
- IBM Netezza**
- ODBC
- ODBC for big data*
- Oracle
- PostgresSQL
- SQLite
- Teradata
Object-oriented programming
- Object oriented structures
- S3, S4 and S5 classes
- Functions
- user defined functions
- closures
- environments
- recursive functions
- Control structures
- conditional execution: if
- conditional execution with alternative: if else
- looping: for, while, repeat
- Data structures
- Arrays
- Vectors
- Matrices
- Lists
- Data Frames
- Data Types
- numeric
- character
- factors
- logical
- missing values
- String handling
- subsetting
- splitting
- concatenating
- merging
- character searching
- regular expressions
- Basic arithmetic
- addition, subtraction, multiplication and division
- powers
- matrix multiplication
- modulo arithmetic
- Logical and Relational operators
- Equal to / not equal to
- <, >, <=, >=
- is missing
- logical AND, OR and NOT
- Integration with other environments
- C
- JAVA
- Perl
- Python
- Web services *
- Parallel programming
- apply functions to columns of an array
- foreach iteration
- iterators
- High Performance Computing
- parallel backends
- Network Spaces
- SMP
- Snow
Distributed Computing
- Amazon EC2 compatibility
- Microsoft HPC Cluster compatibility *
- Linux LSF Cluster compatibility *
Included R Packages
- Base Packages
- base - Base R functions (and datasets before R 2.0.0).
- compiler - R byte code compiler (added in R 2.13.0).
- datasets - Base R datasets (added in R 2.0.0).
- grDevices - Graphics devices for base and grid graphics (added in R 2.0.0).
- graphics - R functions for base graphics.
- grid - A rewrite of the graphics layout capabilities, plus some support for interaction.
- methods - Formally defined methods and classes for R objects, plus other programming tools, as described in the Green Book.
- parallel -Support for parallel computation, including by forking and by sockets, and random-number generation (added in R 2.14.0).
- splines -Regression spline functions and classes.
- stats - R statistical functions.
- stats4 - Statistical functions using S4 classes.
- tcltk - Interface and language bindings to Tcl/Tk GUI elements.
- tools - Tools for package development and administration.
- utils- R utility functions.
- Recommended Packages
- KernSmooth - Functions for kernel smoothing (and density estimation) corresponding to the book “Kernel Smoothing” by M. P. Wand and M. C. Jones, 1995.
- MASS - Functions and datasets from the main package of Venables and Ripley, “Modern Applied Statistics with S”. (Contained in the VR bundle for R versions prior to 2.10.0.)
- Matrix - A Matrix package. (Recommended for R 2.9.0 or later.)
- boot - Functions and datasets for bootstrapping from the book “Bootstrap Methods and Their Applications” by A. C. Davison and D. V. Hinkley, 1997, Cambridge University Press.
- class - Functions for classification (k-nearest neighbor and LVQ). (Contained in the VR bundle for R versions prior to 2.10.0.)
- cluster - Functions for cluster analysis.
- codetools - Code analysis tools. (Recommended for R 2.5.0 or later.)
- foreign - Functions for reading and writing data stored by statistical software like Minitab, S, SAS, SPSS, Stata, Systat, etc.
- lattice - Lattice graphics, an implementation of Trellis Graphics functions.
- mgcv - Routines for GAMs and other generalized ridge regression problems with multiple smoothing parameter selection by GCV or UBRE.
- nlme - Fit and compare Gaussian linear and nonlinear mixed-effects models.
- nnet - Software for single hidden layer perceptrons (“feed-forward neural networks”), and for multinomial log-linear models. (Contained in the VR bundle for R versions prior to 2.10.0.)
- rpart - Recursive PARTitioning and regression trees.
- spatial - Functions for kriging and point pattern analysis from “Modern Applied Statistics with S” by W. Venables and B. Ripley. (Contained in the VR bundle for R versions prior to 2.10.0.)
- survival - Functions for survival analysis, including penalized likelihood.
- Additional Packages included with Revolution R Enterprise
- Revolution Packages
- bootNWS - a parallel version of the boot function from the boot package
- doMC (Linux only) - a parallel backend for foreach / %dopar%
- doParallel - a parallel backend for foreach / %dopar% to be used with the parallel package
- doNWS - a parallel backend for foreach / %dopar%
- doRSR enables rxExec to use multiple cores on a local machine
- doSMP - a parallel backend for foreach / %dopar%
- doSNOW - a parallel backend for foreach / %dopar%
- foreach - parallel for loops using the %dopar% operator
- iterators - tools for iterating over R data structures
- nws - implements the NetWorkSpaces parallel computing environment
- nwsserver - contains Python code to implement the NWS server
- pkgXMLBuilder (Windows only) - tools for RPE development
- randomShrubberyNWS - parallel version of randomForest
- Revobase - system utilities
- RevobaseEnt - system utilities
- revoIPC - system utilities
- revoIpe (Windows only) - system utilities
- RevoMods - system utilities
- RevoScaleR - contains external memory implementations of statistical functions as well as functions for creating, reading and manipulating .XDF files
- sprngNWS
- Third Party Packages
- multicore (Linux only) functions for running parallel algorithms on multi-core Linux machines
- randomForest - random forest algorithms
- snow - functions for parallel computing on multi-core Windows computers and clusters
- RUnit - R functions implementing a standard unit test framework
- XML (Windows only) - functions for reading and creating XML documents