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R Package addinDemo

#Bringing the Code to the Data

R package to show usig RStudios's AddIns to bring your Shiny App to your data.

Why?

Sometimes for various reason you are required to process data where is resides. This can be because of security concerns or the size of the data.

This demo show how to use RStudio's Addins feature to run an a Shiny app directly from Github. This method only requires the end user to do a one time installation of the package. Once installed, the user will be able to run the latest version of the app on Github without any updates or checking version. The app is run locally using the function runGithub from the Shiny package.

Details

Two files are required to add the app in GitHub as a Addin. First a simple function to run the app. In this case the function installs any need packages before running the app.

RunbellcurveDose<- function() {

#Install any required packages
  
required.packages <- c("ggplot2", "minpack.lm","dplyr","tidyr","nls2","stringr")
missing.packages <- required.packages[!(required.packages %in% installed.packages()[,"Package"])]
if(length(missing.packages)) install.packages(missing.packages)
  
  
# Run the current version from Github
  
shiny::runGitHub(repo="ceparman/bellcurveDose",launch.browser=TRUE)
  
return()
}

The second file, /rstudio/addins.dcf, defines the menu item. The file looks like this.

Name: BellcurveDose
Description: Run Bell Curve Dose Response App
Binding: RunbellcurveDose
Interactive: true

Name defines the menu item and the binding links this the RunbellcurveDose function. You can have multiple menu items linked to different apps.

Installation:

Install the demo using the devtools package.

devtools::install_github("ceparman/addinDemo")

Usage:

Once the package in installed the new menu item BellcurveDose will appear in the addins menu. When you run the addin the function will install any missing required packages and the run the app in a new browser window.

For further information

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R package to show usig RStudios's AddIns to bring your Shiny App to your data

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