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Catching the R wave: How R and RStudio are revolutionizing statistics education in community colleges (and beyond)
There is no doubt that RStudio has had an impact on how introductory statistics is taught in colleges today. When we consider the sheer dominance that giants like Texas Instruments, IBM, and...
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Cultivating creativity in data work
Traditionally, statistical training has focused primarily on mathematical derivations, proofs of statistical tests, and the general correctness of what methods to use for certain applications.
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Democratizing R with Plumber APIs
The Plumber package provides an approachable framework for exposing R functions as HTTP API endpoints. This allows R developers to create code that can be consumed by downstream frameworks, which...
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Don’t let long running tasks hang your users Introducing ipc for Shiny
Long running tasks in Shiny are not cancelable and typically lock the user interface while running. This talk introduces the ipc package, which helps you build dynamic applications when...
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Effective use of Shiny modules in application development
As a Shiny application grows in scale, organizing code into reusable and streamlined components becomes vital to manage future enhancements and avoid unnecessary duplication.
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Empowering a data team with RStudio addins
RStudio addins provide a mechanism to extend RStudio in various ways. Addins can interact with the RStudio IDE through RStudio API. It can also provide users a graphical interface with...
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Getting it right: Writing reliable and maintainable R code
How can you tell that your scripts, applications, and package functions are working as expected? Are you sure that when you make changes in one part of the code, it won't break something in...
