Data Transformation in Function rxDataStep

Microsoft R Server supports four cases of R transformations, such as transformFunc, transforms (lists of transform statements), rowSelection (a logical expression) and in-line expressions in formulas. In this article, let’s focus on how to use “transforms” and “transformFunc” to do variable transformation. For all the following example, we use a RxSqlServerData source from the test database…


Data Wrangling in XDF files using ScaleR Functions

The RevoScaleR package provides a set of over one hundred portable, scalable, and distributable data analysis functions. In this article, we will see some examples of using ScaleR Functions to do Data Wrangling in XDF files. For all the following examples, we will be using input XDF files from the SampleData Directory in Microsoft R…


MRS Capability Extension: Importing and Exporting Large In-Memory Data Frames

Introduction Microsoft R Server is an advanced analytics platform. Enterprise-ready, Microsoft R Server scales and accelerates R. R being an open source, statistical programming language, is a great tool to start building intelligent applications and realizing value in predictive analytics. While powerful, R is single threaded and memory bound. In order to handle Big Data,…