danielvartan / scaler

📏 Tools to process health measurement scales

scaler

Overview

scaler is an R package that provides a set of tools to deal with health measurement scales. Its aim is to facilitate the work of researchers with these kind of data and to improve reproducibility in research.

Some scales require a dedicated package. If you’re looking for tools to process the Munich ChronoType Questionnaire (MCTQ), please check the mctq package.

Prerequisites

You need to have some familiarity with the R programming language to use scaler main functions.

If you don’t feel comfortable with R, we strongly recommend checking Hadley Wickham and Garrett Grolemund’s free and online book R for Data Science and the Coursera course from John Hopkins University Data Science: Foundations using R (free for audit students).

Installation

You can install scaler with:

# install.packages("remotes")
remotes::install_github("giperbio/scaler")

Citation

If you use scaler in your research, please consider citing it. We put a lot of work to build and maintain a free and open-source R package. You can find the citation below.

citation("scaler")
#> To cite {scaler} in publications use:
#> 
#>   Vartanian, D. (2023). {scaler}: tools to process health measurement
#>   scales. R package version 0.0.0.9000.
#>   https://giperbio.github.io/scaler/
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Unpublished{,
#>     title = {{scaler}: tools to process health measurement scales},
#>     author = {Daniel Vartanian},
#>     year = {2023},
#>     url = {https://giperbio.github.io/scaler/},
#>     note = {R package version 0.0.0.9000},
#>   }

Contributing

We welcome contributions, including bug reports.

Take a moment to review our Guidelines for Contributing.

Become an scaler supporter!

Click here to make a donation. Please indicate the scaler package in your donation message.