R

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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:...

Technical details and select highlights of my project to bring RStudio addins to VSCode.

Both R and distributed programming rank highly on my list of “good things”, so imagine my delight when two new... The post The Evolution of Distributed Programming in R appeared first on Mango Solutions.

Interact with basecamp api in R. Contribute to yonicd/basecamper development by creating an account on GitHub.

Some examples of running R applications on Google Kubernetes Engine

It all starts with sandboxes. Development sandboxes are dedicated safe spaces for experimentation and creativity. A sandbox is a place where you can go to test and break things, without the ramifications of breaking the real, important things. If you’re an analytic administrator who doesn’t have access or means to get a sandbox, I recommend that you consider advocating to change that. Here are just some of the arguments for why sandboxes are a powerful tool for the R admin that you may find helpful.

How to load geospatial data into your workspace and prepare it for visualization.

How to create scale-to-zero Shiny apps on Google Cloud Run: pitfalls, how and why

I do not well remember, but it seems to me I faced some difficulties when I tried to use Shiny bookmarking to save and restore the state of a Shiny app. These difficulties arose when there were some rende...

Distributed programming in R is normally taken up to speed up a process or piece of code or scale up an interface or application for multiple users.

A simple HTTP server in R. Contribute to yihui/servr development by creating an account on GitHub.

☁️ ☁️ ☁️ Beautiful Bubbles in Shiny and RMarkdown Backgrounds - feddelegrand7/bubblyr

View an image in full screen by clicking on it. Contribute to feddelegrand7/rintimg development by creating an account on GitHub.

🐹🐹🐹 Creates a Friendly User Interface for Emails Sending in Shiny and RMarkdown - feddelegrand7/mailtoR

Animate shiny elements when they scroll into view 🍁 🍁 🍁 - feddelegrand7/scrollrevealR

Create an Interactive Pivot Table with Data Analysis Tools - feddelegrand7/pivta

Implement the Algolia Places Address Search Auto Completion Menu on Shiny Text Inputs - feddelegrand7/algo

A series of shiny related RStudio Snippets . Contribute to ThinkR-open/shinysnippets development by creating an account on GitHub.

🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny - nanxstats/awesome-shiny-extensions

You can install the tinytex package from either CRAN or Github: # CRAN version install.packages('tinytex') # or the development version on Github remotes::install_github('yihui/tinytex') The package …