Package Reference (Microsoft R)
This section contains the function reference documentation for proprietary revo packages installed with Microsoft R Client and R Server, or available in a service (SQL Server or Azure). Each package offers functions used for specific categories of operations. To explore these packages at no charge, download and install the free Microsoft R Client.
|foreach||A set of tools that allow you to run any R code or script that can be expressed as a for-loop as a set of parallel tasks.|
|MicrosoftML||A collection of functions in Microsoft R used for machine learning at scale.|
|mrsdeploy||Deployment functions for interactive remote execution at the command line, plus web service functions for bundling up R code blocks as discrete web services that can be deployed and managed on an R Server instance.|
|RevoScaleR||Data acquisition, manipulation and transformations, visualization, and analysis. RevoScaleR provides functions for the full range of statistical and analytical tasks. It's the backbone of R Server functionality.|
|RevoPemaR||Developer functions for coding custom parallel external memory algorithms.|
|RevoIOQ and RUnit||Installation and Operational Qualification test functions, used in conjunction with the RUnit package to run a set of unit tests. It has only one user-facing function, also called RevoIOQ. Reference documentation is online only (|
|RevoMods||Microsoft modifications and extensions to standard R functions. Reference documentation is online only (|
|RevoTreeView||Decision tree functions, including the rxDTree function. Reference documentation is online only (|
|RevoUtils||Utility functions useful when programming and developing R packages. Reference documentation is online only (|
|RevoUtilsMath||Microsoft's distribution of the Intel Math Kernal Library (MKL). Reference documentation is online only (|
* Learn more about this package by typing ?"packagename" in the RGUI.exe console window or in the R Help page in your preferred R IDE, such as R Tools for Visual Studio.
The following packages exist for backward compatibility but are no longer under active development:
For a list of deprecated or discontinued functions within an existing package, see Release notes for R Server.