A Tutorial on Writing Simulation Apps in Shiny

July 3, 2015

(This article was first published on A Statistics Blog - R, and kindly contributed to R-bloggers)

I stand in awe of the R wizards who post their latest and greatest Shiny feats on R-Bloggers. It’s taken me a while to find my way around Shiny, but at last I feel ready to fill in a few gaps for others who may be just starting out and who aspire to write reasonably involved, user-friendly simulation apps. To make it a bit more fun I’ve written it up as an R Markdown document hosted on shinyapps.io: here you go.

Prerequisites are indicated in the tutorial; so are links to the source code. If you have feedback or suggestions for improvements, comment here or post an Issue on the GitHub site.

To leave a comment for the author, please follow the link and comment on their blog: A Statistics Blog - R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)