Materials for the R shiny tutorial with nonclinical applications at the 2019 Nonclinical Biostatistics conference
Materials can be found at https://github.com/topepo/ncb-2019-shiny. If you've never used GitHub, just choose the green "Clone or download" button on the right-hand side and download the ZIP file.
The main notes require a few R packages. You can install them using:
install.packages(c("shiny", "ggplot2", "readr", "plotly", "ggiraph"),
repos = "http://cran.r-project.org")
# to test:
library(shiny)
library(ggplot2)
library(readr)
library(plotly)
library(ggiraph)(warnings are fine, errors are not)
Optionally some of the extended examples use these packages too:
install.packages(c("flexdashboard", "recipes", "heatmaply", "shinyBS", "yardstick"),
repos = "http://cran.r-project.org")Email max@rstudio.com for questions.
If you can't (or don't want to) install these packages, we have the GitHub repo mirrored on RStudio.cloud and you can run the analyses there. See the directions below.
You can create an account for Rstudio.cloud or just log in with a gmail or GitHub account.
- You may have to setup an account name.
It will ask if you want to join the space (yes).
If you clink on the Projects tab at the top, the you should see an entry for "R shiny tutorial with nonclinical applications".
A note that says Deploying Project will come up. Be patient, if is currently a free service (in beta) so it might take a few minutes.
When it is done, there is the usual RStudio IDE in your browser.