R Code Viewer
About the R Code Viewer
The R Code Viewer presents computer code in the “R” language, together with any relevant data files, next to the article on ScienceDirect.
The R Code Viewer provides authors and readers with many benefits. It:
- Enables authors to highlight their code and data files alongside their article
- Lets readers quickly jump from the code to any relevant data sets
- Offers syntax highlighting for efficient inspection of the code
- Enables readers to downloaded files for further re-use, or to help reproduce findings reported in the article
“R” is a programming language for statistical computing, analysis and visualization. It is a GNU project, and the source code for the R software environment is freely available under the GNU General Public License. For more information, please see Wikipedia.
The R Code Viewer was launched in pilot mode in March 2015, and is now available for selected journals.
State of the aRt personality research: A tutorial on network analysis of personality data in R – Journal of Research in Personality
All R code and data files should be part of a single ZIP file. This means the code and data files that depend on each other will be stored and made available together. R code should be saved as a plain text file.
In your manuscript, you can indicate where you want the material to appear in the article, for example, by writing ‘R-File1 here’.
You can submit your R code and related datasets as supplementary material with your manuscript.
Reviewers will find R files associated with the R Code Viewer in the supplementary material submitted with the manuscript.
- EES: the files can be downloaded via links on the final pages of the reviewer PDF
- EVISE: the files can be downloaded directly from the system
For more information, read the general reviewer instructions.