(Update 4: 2016-08-19) I made many significant updates / improvements to this deployment method which are documented in a more recent blog p...

Note: This article is now several years old. If you have RStudio Connect, there are more modern ways of updating data in a Shiny app. Shiny applications are often backed by fluid, changing data. Data updates can occur at different time scales: from scheduled daily updates to live streaming data and ad-hoc user inputs. This article describes best practices for handling data updates in Shiny, and discusses deployment strategies for automating data updates.

Running R scripts from the command line can be a powerful way to: Automate your R scripts Integrate R into production Call R through other tools or systems There are basically two Linux command...

James Blair, RStudio Scalability is a hot word these days, and for good reason. As data continues to grow in...

‎Learn about collection Powerful Apps for Developers featuring Working Copy - Git client, Prompt 2, Sketch Mirror, and many more on App Store. Enjoy these apps on your iPhone, iPad, and iPod touch.

If you use RStudio Connect to publish your Shiny app (and even if you don’t) take care with how your...

Design a computing infrastructure and choose packages that can set you and your learners on the happy path.

Contribute to yonicd/shinycovr development by creating an account on GitHub.

Safely Deploy R to Production

Does your R package work best with some configuration? You probably want it to be easily found by your package. Does your R package download huge datasets that don’t change much on the provider side? Maybe you want to save the corresponding data somewhere persistent so that things will go faster during the next R session. In this blog post we shall explain how an R package developer can go about using and setting persistent configuration and data on the user’s machine.

Learn R, R tutorials, R resources, blog posts and the latest updates about the statistical programming R language.

We deliver software development and ML solutions for Fortune 500 companies. We are an RStudio Full Service Certified Partner and global leaders in R Shiny.

The Keep Productive Blog is dedicated to personal and work productivity software reviews, how-to tutorials, PDFs, interviews & so much more.

News, Forums, Reviews, Help for Windows 10 and all things Microsoft.

I want to understand how the world works. This blog tracks my growth, the things I've learned, and how I'm leveraging them to do epic things.

In the following list we’ve collected 10 most popular tools which software developments experts, like Softarex, use in their everyday work.

Whether you work for a company, or as an indie, stay in the office or enjoy the digital nomad's lifestyle, being a software developer means everyday learning on the job. With that said, we suggest you considered the highly recommended reads on what proven #tools #software #developers #choose #in2019.

Software development is divided into several phases. Here are some best useful tools for software developers in 2019.

The top agile tools your software development team should research. Add these agile tools to your product development tech stack and your work will improve!

If you aren't using Markdown already, then you're missing out -- and with this nifty Word add-on, you can get the best of both worlds!

The Zettelkasten is an analog system that can be easily adapted to the digital age. Thanks to its power and simplicity, today the Zettelkasten method has been adapted to fit the workflow and information management of any creative pro.

Powershell - Scripting - Windows PowerShell is a command-line shell and scripting language designed especially for system administration. Its analogue in Linux is called as Bash Scripti

Describes how to create and use a PowerShell profile.

This blog delves deep into Google Cloud Run, its key advantages for developers, and how they can deploy the Shiny app on Cloud Run.

How I research, outline, and draft articles in Obsidian

It's easy to focus on the front end of web development, but what about the back end? Learning about...

A "work bench" to manage projects from within R.

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 Statlib 1995: R first distributed as open-source software, under GPL2 license 1997: R core group formed 1997: CRAN founded (by Kurt Hornik and Fritz Leisch) 1999: The R website, r-project.org, founded 1999: First in-person meeting of R Core team, at inaugural Directions in Statistical Computing conference, Vienna 2000: R 1.0.0 released (February 29) 2000:...

After starting to use spaced repetition more actively and being more consistent with my journaling, now I've tackled improving my note taking skills. Over the last couple of months, I've read about various note-taking methods, different approaches and diverse goals for them and they helped me change my perspective on

JS and R, what a clickbait! Come for JS, stay for our posts about Solaris and WinBuilder. 😉 No matter how strongly you believe in JavaScript being the language of the future (see below), you might still gain from using it in your R practice, be it back-end or front-end. javascript is rly the future and it's evolving closer and closer to some of my cherished older languages . it will outlive python (and R) by a long shot.