Author: David Smith

Feed: R-bloggers. Author: David Smith. Azure Functions is a cloud service that allows you to deploy “serverless” microservices that are triggered by events (timers, HTTP POST events, etc) and automatically scale to serve demand while minimizing latency. The service natively supports functions written in C#, Java, JavaScript, PowerShell, Python and TypeScript, and now supports other languages as well thanks to the launch last week of custom handlers for Azure Functions.A new tutorial walks you through the process of creating a custom handler for a “hello world” R function. The process is fairly straightforward: use a couple of Azure CLI commands ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. I was my great pleasure yesterday to be a presenter in the “Why R Webinar” series, on the topic R at Microsoft. In the talk (which you can watch below) I recounted the history of Microsoft's acquisition of Revolution Analytics, and the various way the Microsoft supports R: its membership of the R ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Microsoft R Open 4.0.2 has been released, combining the latest R language engine with multi-processor performance and tools for managing R packages reproducibly. You can download Microsoft R Open 4.0.2 for Windows,and Linux from MRAN now. Microsoft R Open is 100% compatible with all R version 4 scripts and packages, and works with all your favorite R interfaces ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.With thanks to the kind folks at Lander Analytics, video from my New York R Conference talk earlier this month is now available to view. The slides are also available for download in PDF format.In my talk, I described how I automated the deployment of a Shiny app using GitHub Actions. If you're new to ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.As an update to this post, here's a list of the major events in R history since its creation: 1992: R development begins as a research project in Auckland, NZ by Robert Gentleman and Ross Ihaka 1993: First binary versions of R published at Statlib1995: R first distributed as open-source software, under GPL2 license1997: R core group ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. R 4.0.2 is now available for download for Windows, Mac and Linux platforms. This update addresses a few minor bugs included in the R 4.0.0 release, and also a significant bug introduced in R 4.0.1 on the Windows platform.  Compared to R 4.0.0, the R 4.0.2 update also improves the performance of ... Read More

Feed: R-bloggers. Author: David Smith. R 4.0.0 was released in source form on Friday, and binaries for Windows, Mac and Linux are available for download now.As the version number bump suggests, this is a major update to R that makes some significant changes. Some of these changes — particularly the first one listed below — are likely to affect the results of R’s calculations, so I would not recommend running scripts written for prior versions of R without validating them first. In any case, you’ll need to reinstall any packages you were using for R 4.0.0. (You might find this ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Microsoft has released a GitHub repository to share best practices for time series forecasting. From the repo: Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. On February 29, R 3.6.3 was released and is now available for Windows, Linux and Mac systems. This update, codenamed "Holding the Windsock", fixes a few minor bugs, and as a minor update maintains compatibility with scripts and packages written for prior versions of R 3.6.  February 29 is an auspicious date, because ... Read More

Feed: R-bloggers. Author: David Smith. [This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The video recording of my RStudio::conf talk, MLOPS for R with Azure Machine Learning, is now available for streaming thanks to the fine folks at RStudio. The talk begins with a general discussion of MLOps (Machine Learning Operations) and how it differs from DevOps as applied to traditional (non-ML-based) applications. This is a ... Read More