Blog Archives

dplyrXdf 0.90 now available

December 6, 2016
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by Hong Ooi, Sr. Data Scientist, Microsoft Version 0.90 of the dplyrXdf package has just been released. dplyrXdf is a package that brings dplyr pipelines and data transformation verbs to Microsoft R Server’s xdf files. This version includes several changes, mostly to address performance and efficiency concerns, which I’ll detail these below. The .outFile argument All dplyrXdf verbs now...

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glmnetUtils: quality of life enhancements for elastic net regression with glmnet

November 1, 2016
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The glmnetUtils package provides a collection of tools to streamline the process of fitting elastic net models with glmnet. I wrote the package after a couple of projects where I found myself writing the same boilerplate code to convert a data frame into a predictor matrix and a response vector. In addition to providing a formula interface, it also...

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Updated dplyrXdf package brings data munging with pipes to Xdf files

March 16, 2016
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by Hong Ooi, Sr. Data Scientist, Microsoft I’m pleased to announce the release of version 0.62 of the dplyrXdf package, a backend to dplyr that allows the use of pipeline syntax with Microsoft R Server’s Xdf files. This update adds a new verb (persist), fills some holes in support for dplyr verbs, and fixes various bugs. The persist verb...

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Introducing the dplyrXdf package

October 20, 2015
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The dplyr package is a popular toolkit for data transformation and manipulation. Over the last year and a half, dplyr has become a hot topic in the R community, for the way in which it streamlines and simplifies many common data manipulation tasks. Out of the box, dplyr supports data frames, data tables (from the data.table package), and the...

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