shiny.i18n
rhino
| shiny.i18n | rhino | |
|---|---|---|
| 1 | 2 | |
| 166 | 263 | |
| 0.0% | 4.6% | |
| 4.9 | 9.3 | |
| 25 days ago | 5 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | - |
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shiny.i18n
rhino
-
Can someone explain how R project are organized and deployed?
As for organising code within a project, as mentioned packages really don’t allow this beyond collation order. The best solution in this space is the ‘box’ package which implements a fully-featured module system for R. ‘box’ notably gets used by some folks to implement large-scale Shiny applications; if this is what you’re after, I would recommend the ‘rhino’ framework, which builds upon Siny and ‘box’.
- Rhino 1.3.0 released – RStats/Shiny framework
What are some alternatives?
nflfastR - A Set of Functions to Efficiently Scrape NFL Play by Play Data
shinyjs - 💡 Easily improve the user experience of your Shiny apps in seconds
future - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
ggplot2-book - ggplot2: elegant graphics for data analysis
huxtable - An R package to create styled tables in multiple output formats, with a friendly, modern interface.
box - Write reusable, composable and modular R code
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
timevis - 📅 Create interactive timeline visualizations in R
mindr - an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)
DesktopDeployR - A framework for deploying self-contained R-based applications to the desktop