https://github.com/hturner/shiny-demos

A set of shiny demos for teaching statistical modelling
https://github.com/hturner/shiny-demos

r shiny statistical-models teaching-materials

Last synced: 4 days ago
JSON representation

A set of shiny demos for teaching statistical modelling

• Host: GitHub
• URL: https://github.com/hturner/shiny-demos
• Owner: hturner
• Created: 2013-11-06T09:54:44.000Z (almost 12 years ago)
• Default Branch: main
• Last Pushed: 2025-03-06T15:17:49.000Z (7 months ago)
• Last Synced: 2025-04-12T02:13:17.458Z (6 months ago)
• Topics: r, shiny, statistical-models, teaching-materials
• Language: R
• Size: 1.17 MB
• Stars: 6
• Watchers: 4
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# shiny-demos

A set of shiny demos for teaching statistical modelling

### Install Required Pacakges

The packages required by each app are as follows:

linreg

:    RColorBrewer, scales, ISwR, MASS, shinytools, shiny

linreg3

:    MASS, shiny

poisreg

:    RColorBrewer, scales, shinytools, shiny

All packages are available on CRAN apart from `shinytools` which is part of this repository. The following code will install all required packages:

    

    required <- c("RColorBrewer", "scales", "ISwR", "MASS", "devtools", "shiny")

    notInstalled <- required[!(required %in% installed.packages()[, "Package"])]

    install.packages(notInstalled)

    library(devtools)

    install_github("hturner/shiny-demos", subdir = "shinytools")

    

### Run the Apps

Once the required packages are installed you can run the apps directly from GitHub, e.g.

    library(shiny)

    runGitHub("shiny-demos", username = "hturner", subdir = "linreg/")

    

Alternatively you can download the source files and use `runApp` from the `shiny` package.