The goal of ntlx is to collect and process data for the Nasa Task Load Index assessment
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("mncube/ntlx")
enterOutputPath will add the outputDir object to your global environment. This should be the path where you want to store the ntlx results.
library(ntlx)
#enterOutputPath(path = getwd())
To collect data, open the ntlx Shiny app, fill out the form, and then click submit.
#ntlxApp()
After you finish administering the ntlx to all subjects across all tasks, you can return your data as a data frame by calling getResults()
#getResults()
Or you can return processed results which contain raw scores, weights, adjusted scores, and overall weighted workload scores
#processResults()