| // ==UserScript== | |
| // @name Slides Countdown | |
| // @namespace http://tampermonkey.net/ | |
| // @version 0.1 | |
| // @author Appsilon | |
| // @match *://docs.google.com/presentation/* | |
| // @grant none | |
| // ==/UserScript== | |
| (function() { | |
| 'use strict'; |
| library(shiny) | |
| ui <- fluidPage( | |
| # Application title | |
| titlePanel("Old Faithful Geyser Data"), | |
| # Sidebar with a slider input for number of bins | |
| sidebarLayout( | |
| sidebarPanel( |
| # Author: Zygmunt Zawadzki | |
| # http://www.blog.zstat.pl/2017/04/24/make-asynchronous-call-in-shiny./ | |
| library(future) | |
| library(shiny) | |
| plan(multiprocess) | |
| ui <- fluidPage( | |
| # Application title |
R developers need a tool to reproduce runtime environments for their projects. R ecosystem is evolving really fast - R interpreter, packages, system libraries are subject to frequent updates. Also, different data scientists work in different configurations. This results in problems with reproducibility.
Existing solutions
.libPaths())