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.
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).
You can install scaler
with:
# install.packages("remotes")
remotes::install_github("giperbio/scaler")
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 @Unpublished{,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},
#> }
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.