rsa.helpr

The goal of rsa.helpr is to enhance efficiency, accessibility, and reproducibility in vocational rehabilitation (VR) analysis. Specifically, the focus is to streamline the cleaning and analysis of RSA-911 and Transition Readiness Toolkit (TRT) data, a new measure of program effectiveness.

Installation

You can install the development version of rsa.helpr from GitHub with:

# install.packages("devtools")
devtools::install_github("rtaylor456new/rsa.helpr")

Quick Start

Load the package and explore function documentations.

library(rsa.helpr)
# ?load_data
# ?clean_utah
# ?clean_scores
# ?create_metadata
# ?visualize_densities
# ?clean_provider
# ?visualize_metadata
# ?handle
# etc.

Cleaning Process Example

To clean and merged RSA-911 data and TRT scores data and condense into metadata for seamless analysis, simply apply four functions in rsa.helpr. This following is an example of the simple cleaning steps using defaults (see functions’ documentions for information on optional arguments):

cleaned_rsa <- clean_utah(rsa_simulated)
cleaned_scores <- clean_scores(scores_simulated, state_filter = "Utah")
merged_data <- merge_scores(cleaned_rsa, cleaned_scores)
metadata <- create_metadata(merged_data)

These larger functions standardize and streamline cleaning steps, but rsa.helpr allows for more flexible and independent data preparation with the use of smaller helper functions. For example, handle_splits is used to separate variables with values including special characters. It allows for differing lengths of values (e.g. 1, 1;2, 3;3;4, NA). It separates by the identified special character and creates new variables, based on the original name, with one value per column.

var_clean <- handle_splits(rsa_simulated$E395_App_Medical_911, 
                           var_name = "E395_App_Medical_911")

More Information

Vignette

For more examples and a more detailed demonstration of rsa.helpr in action, see the vignette, rsa.helpr.Rmd, within the repository or here.

Associated shiny App Dashboard

rsa.helpr is the backbone of the associated shiny app, hosted at https://rsa-data-dashboard.shinyapps.io/rsa_dashboard_app/. This app allows for automated and coding-free data preparation and simple analyses.