In mncube/ntlx: NASA Task Load Index in R

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

ntlx

The goal of ntlx is to collect and process data for the Nasa Task Load Index assessment

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("mncube/ntlx")

Import package and set directory to collect ouput

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())

Data collection

To collect data, open the ntlx Shiny app, fill out the form, and then click submit.

#ntlxApp()

Process data

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()

mncube/ntlx documentation built on Dec. 21, 2021, 8:07 p.m.