Posit Connect is often the de facto platform to deploy R/Shiny applications, Python applications, and Quarto-Shiny documents. And when something goes wrong, we immediately go and visit the logs. But often the logs are walls of text that we have to scour through and when you have been coding ...

Note: Thank you Kamil Żyła for providing guidance and expertise in writing R code for this article. R, being single-threaded in nature, isn’t the fastest programming language out there. You have options when it comes to parallelism, but these often don’t reduce the runtime as much as ...

The ability to write JavaScript code is essential to creating fast, custom, highly interactive Shiny applications. Whenever you want near-instant user interaction, use browser features, or add custom server-client communication, you would reach out to JavaScript. Despite all that, the majority of JS code in Shiny apps looks… sad. As ...

Recognizing handwritten digits with Ridge2Classifier and log-likelihood loss.

Call for abstracts now open We are excited to announce the Call for Abstracts for Shiny in Production 2024, to be held on 9th-10th October 2024 in Newcastle upon Tyne, UK. This event brings together industry experts, data scientists, and develope...

We’re thrilled to announce a significant update to our ecosystem of R packages designed to bring the power of React libraries to Shiny. These updates span across our core package, shiny.react, and its companions, shiny.fluent and shiny.blueprint. The update ensures that their users have access to ...

In this post, we will look at how to use the Pingouin package to calculate both t-test and ANOVA results. This post is not a post on statistics. Rather, we are focused on how to do t-test and ANOVA using Python. Therefore, the explanation of the statistics is not a ...