README.md

In carlganz/CSP2017: Using Shiny to Efficiently Process Survey Data

CSP2017

This R package contains Shiny apps related to poster Using Shiny to Efficiently Process Survey Data at Conference for Statistical practice 2017 in Jacksonville

This poster co-won best student poster: http://magazine.amstat.org/blog/2017/04/01/csp2017recap/

Required packages

install.packages('shiny')
install.packages('DT')
install.packages('tidyverse')
install.packages('stringdist')
install.packages('shinyjs')
install.packages('RSQLite')
install.packages('openxlsx')

For openxlsx to work on Windows you will need Rtools.

Run Apps

To run the apps locally you'll first need to use devtools to install this package.

devtools::install_github("carlganz/CSP2017", dependencies = TRUE)

library(CG.CSP17)

# Run App A
run_app("A") # or run_app(1)

# Run App B
run_app("B") # or run_app(2)

# Run App C
run_app("C") # or run_app(3)

carlganz/CSP2017 documentation built on May 13, 2019, 12:44 p.m.