Using Teradata Package for R
The Teradata Package for R (tdplyr) is an open-source R library package that combines the benefits of open-source R language environment with the massive parallel processing capabilities of Teradata Vantage.
- Describe available features and functionalities of tdplyr.
- Install, uninstall, and upgrade the tdplyr package.
- Connect to Vantage.
- Use tdplyr for data management, exploration, and execution of analytic functions.
- Troubleshoot tdplyr.
- Understand limitations and considerations of tdplyr.
Why Would I Use this Content?
The tdplyr package is an R library package like other open-source R packages. The package interface makes available to R users a collection of functions for analytics that reside on Vantage, so that R users can perform in-database analytics with no SQL coding required. Also, the tdplyr package provides functions for data manipulation and transformation, data filtering and sub-setting, and can be used in conjunction with open-source R capabilities.
How Do I Use this Content?
Use this guide as a reference to find descriptions, usage notes, and examples of features and functions available in the tdplyr package.
How Do I Get Started?
Then you can load data, manipulate and transform data for analysis, and execute analytic functions.
References to Other Relevant Content
- Teradata Package for R Function Reference, B700-4007
- Teradata Vantage™ Machine Learning Engine Analytic Function Reference, B700-4003
- Teradata Vantage™ - Analytics Database Analytic Functions, B035-1206
- Teradata Package for Python User Guide, B700-4006
- Teradata Package for Python Function Reference, B700-4008
- Teradata SQL Driver for R