Overview
lockr is a user-friendly R package designed for encrypting/decrypting files, with the aim of facilitating the storage and sharing of research compendiums using R.
The creation of this package was inspired by Ben Marwick, Carl Boettiger & Lincoln Mullen’s article Packaging Data Analytical Work Reproducibly Using R (and Friends).
Prerequisites
To use the main functions of lockr, some familiarity with the R programming language is required.
If you are not comfortable with R, we strongly recommend checking out Hadley Wickham and Garrett Grolemund’s free online book R for Data Science, as well as the Coursera course Data Science: Foundations using R from John Hopkins University (free for audit students).
Installation
You can install lockr using:
# install.packages("remotes")
remotes::install_github("giperbio/lockr")Citation
If you use lockr in your research, please consider citing it. We have put a lot of work into building and maintaining this free and open-source R package. The citation can be found below.
citation("lockr")
#>
#> To cite {lockr} in publications use:
#>
#> Vartanian, D. (2023). {lockr}: easily encrypt/decrypt files. R
#> package version 0.3.0.9000. https://giperbio.github.io/lockr/
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Unpublished{,
#> title = {{lockr}: easily encrypt/decrypt files},
#> author = {Daniel Vartanian},
#> year = {2023},
#> url = {https://giperbio.github.io/lockr/},
#> note = {R package version 0.3.0.9000},
#> }Contributing
We welcome contributions, including bug reports.
Please take a moment to review our Guidelines for Contributing.
Become a supporter of lockr!
Click here to make a donation. Please indicate the lockr package in your donation message.
