Please note, we are no longer supporting teradataR since the decision was made for Teradata to focus on our partnership with Revolution for R integration with Teradata.
R is an open source language for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible. This free package is designed to allow users of R to interact with a Teradata database. Users can use many statistical functions directly against the Teradata system without having to extract the data into memory.
You can download the latest (version 1.0.1) teradataR package here.
Update: The source for TeradataR has been approved for distribution to the public. The source as well as an updated TeradataR package (works with R 3.0) is available from https://github.com/Teradata/teradataR.
R is an open source language for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible.
R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes
R is a flexible programmable language that allows users to add functionality by defining new functions. For computationally-intensive tasks, C, C++ and Fortran code can be linked and called at run time. Advanced users can write C code to manipulate R objects directly.
R can be extended (easily) via packages. There are about eight packages supplied with the R distribution and over 1,200 available through CRAN (Comprehensive R Archive Network) mirror sites.
R is available as Free Software under the terms of the Free Software Foundation's GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.
teradataR is a package or library that allows R users to easily connect to Teradata, establish data frames (R data formats) to Teradata and to call in-database analytic functions within Teradata. This allows R users to work within their R console environment while leveraging the in-database functions developed with Teradata Warehouse Miner. This package provides 44 different analytical functions and an additional 20 data connection and R infrastructure functions. In addition, we’ve added a function that will list the stored procedures within Teradata provide the capability to call functions from R.
TeradataR allows R users to leverage all the benefits of in-database processing with Teradata:
Please refer to the teradataR 1.0.1 User Guide, included with the latest download, for more information about Getting Started with R and the teradataR Package.
Note that teradataR is a free package. For community support, please visit the Analytics forum.