In summerscope/summerchildr: Risk Assessment Quiz For Automation and ML

Sweet Summer Child Score

Sweet Summer Child Score (SSCS) is a scoring mechanism for latent risk. It will help you quickly and efficiently scan for the possibility of harm to people and communities by a socio-technical system. This package is an R version of Python code found at: https://github.com/summerscope/summerchildpy

Run Summer Summer Child app to assess the risk of your socio-technical system

How it looks like when you run it.

library(png)
library(grid)
img <- readPNG("data-raw/app.png")
grid.raster(img)

1. From RStudio

Install and load the R package

if(!require(devtools,quietly = TRUE))
  install.packages("devtools")
devtools::install_github("summerscope/summerchildr")
library(summerchildr)

Run the app

shiny::runApp(runSummerChildApp())

2. From the terminal

Run the following code in a terminal window - Requires R (>= 2.10) to be installed

R -e "devtools::install_github('summerscope/summer-child-r', force = TRUE); library(summerchildr); runSummerChildApp()"

Then simply copy and paste the http link that appears in the terminal into a browser.

3. If you're having issues with remote R packages installation

1. Clone the repository

git clone [e-mail]:summerscope/summerchildr.git
cd summerchildr

1. Run the app in the terminal after restoring the environment:

R -e "renv::restore(); library(summerchildr); shiny::runApp(runSummerChildApp())"

The same commands in the chunk above can be run in R Studio to restore the environment before running the app.

summerscope/summerchildr documentation built on March 29, 2022, 11:06 p.m.