Join us at rstudio::conf(2022) to sharpen your R skills.
| July 25-28th in D.C.
July 25-28th in D.C.
7/25 - 7/28 in D.C.
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio Public Package Manager
RStudio Package Manager
Reproducible Shiny apps with shinymeta - Dr. Carson Sievert
January 30, 2020
Shiny makes it easy to take domain logic from an existing R script and wrap some reactive logic around it to produce an interactive webpage where others can quickly explore different variables, parameter values, models/algorithms, etc. Although the interactivity is great for many reasons, once an interesting result is found, it’s more difficult to prove the correctness of the result since: (1) the result can only be (easily) reproduced via the Shiny app and (2) the relevant domain logic which produced the result is obscured by Shiny’s reactive logic. The R package shinymeta provides tools for capturing and exporting domain logic for execution outside of a Shiny runtime (so that others can reproduce Shiny-based result(s) from a new R session).
Click here for the keynote presentation (recommended) and here for a pdf version.
Carson is a software engineer at RStudio working on R packages such as shiny, shinymeta, and plotly. His book “Interactive data visualization with R, plotly, and shiny”, published by CRC Press, is also freely available online at plotly-r.com.