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Tag: Packages

AzureR update: new in May/June
by Hong Ooi This is a summary of the updates to AzureR family of packages in May and June 2021. AzureAuth Change the default caching behaviour to disable the cache if running inside Shiny. Update Shiny vignette to clean up redirect page after authenticating (thanks to Tyler Littlefield). Add a …
Microsoft365R 2.1.0 with Outlook support now on CRAN
by Hong Ooi I’m happy to announce that Microsoft365R 2.1.0 is now on CRAN with Outlook email support! Here’s a quick summary of the new features: Send, reply to and forward emails, optionally composed with blastula or emayili Copy and move emails between folders Create, delete, copy and move folders …
Outlook client support in Microsoft365R available for beta test
by Hong Ooi This is an announcement that a beta Outlook email client is now part of the Microsoft365R package. You can install it from the GitHub repository with: devtools::install_github("Azure/Microsoft365R") The client provides the following features: Send, reply to and forward emails, optionally composed with blastula or emayili Copy and …
Teams support in Microsoft365R
by Hong Ooi I’m happy to announce that version 2.0 of Microsoft365R, the R interface to Microsoft 365, is now on CRAN! This version adds support for Microsoft Teams, a much-requested feature. To access a team in Microsoft Teams, use the get_team() function and provide the team name or ID. …
Microsoft365R: an R interface to the Microsoft 365 suite
I’m very happy to announce Microsoft365R, a package for working with the Microsoft 365 (formerly known as Office 365) suite of cloud services. Microsoft365R extends the interface to the Microsoft Graph API provided by the AzureGraph package to provide a lightweight yet powerful interface to SharePoint and OneDrive, with support …
AzureTableStor: R interface to Azure table storage service
by Hong Ooi I’m pleased to announce that the AzureTableStor package, providing a simple yet powerful interface to the Azure table storage service, is now on CRAN. This is something that many people have requested since the initial release of the AzureR packages nearly two years ago. Azure table storage …
Create and deploy a Custom Vision predictive service in R with AzureVision
The AzureVision package is an R frontend to Azure Computer Vision and Azure Custom Vision. These services let you leverage Microsoft’s Azure cloud to carry out visual recognition tasks using advanced image processing models, with minimal machine learning expertise. The basic idea behind Custom Vision is to take a pre-built …
AzureQstor: R interface to Azure Queue Storage now on GitHub
This post is to announce that the AzureQstor package is now on GitHub. AzureQstor provides an R interface to Azure queue storage, building on the facilities provided by AzureStor. Queue Storage is a service for storing large numbers of messages, for example from automated sensors, that can be accessed remotely …
foreach 1.5.0 now available on CRAN
This post is to announce that version 1.5.0 of the foreach package is now on CRAN. Foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter. The foreach package is now more than 10 years old, and is used …
Changes in the foreach package
by Hong Ooi, Senior Data Scientist at Microsoft and maintainer of the foreach package This post is to announce some new and upcoming changes in the foreach package. First, foreach can now be found on GitHub! The repository is at https://github.com/RevolutionAnalytics/foreach, replacing its old home on R-Forge. Right now the …
AzureR updates: AzureStor, AzureVM, AzureGraph, AzureContainers
Some major updates to AzureR packages this week! As well as last week's AzureRMR update, there are changes to AzureStor, AzureVM, AzureGraph and AzureContainers. All of these are live on CRAN. AzureStor 3.0.0 There are substantial enhancements to multiple-file transfers (up and down). You can supply a vector of pathnames …
AzureVM update: flexible and powerful deployment and management of VMs in Azure
by Hong Ooi, senior data scientist, Microsoft Azure I'm happy to announce version 2.0 of AzureVM, a package for deploying and managing virtual machines in Azure. This is a complete rewrite of the package, with the objective of making it a truly generic and flexible tool for working with VMs …
Fun with R and the Noops
Earlier this week, Github introduced Noops, a collection of simple black-box machines with API endpoints, with the goal of challenging developers of all skill levels to solve problems with them. Five "Noops" machines have been released so far along with challenges suitable for beginner programmers, with 15 further machines (and …
AzureR and AzureKeyVault
by Hong Ooi, senior data scientist, Microsoft Azure Just a couple of announcements regarding my family of packages for working with Azure from R. First, the packages have moved from the cloudyr org on GitHub to the Azure org, thus making them "official". A (rather spartan) homepage is here, containing …
Use foreach with HPC schedulers thanks to the future package
The future package is a powerful and elegant cross-platform framework for orchestrating asynchronous computations in R. It's ideal for working with computations that take a long time to complete; that would benefit from using distributed, parallel frameworks to make them complete faster; and that you'd rather not have locking up …
AzureStor: an R package for working with Azure storage
by Hong Ooi, senior data scientist, Microsoft Azure A few weeks ago, I introduced the AzureR family of packages for working with Azure in R. Since then, I’ve also written articles on how to use AzureRMR to interact with Azure Resource Manager, how to use AzureVM to manage virtual machines, …
3-D shadow maps in R: the rayshader package
Data scientists often work with geographic data that needs to be visualized on a map, and sometimes the maps themselves are the data. The data is often located in two-dimensional space (latitude and longitude), but for some applications we have a third dimension as well: elevation. We could represent the …
3-D shadow maps in R: the rayshader package
Data scientists often work with geographic data that needs to be visualized on a map, and sometimes the maps themselves are the data. The data is often located in two-dimensional space (latitude and longitude), but for some applications we have a third dimension as well: elevation. We could represent the …