#data-processing

Repository dedicated to storing and improving datateam processing scripts

• Authors: Dominic Mullen
• License: Apache 2
• Package source code on Github

Style

We generally follow the tidyverse style conventions, with the following specific style preferences:

• underscore for all variable names unless referring to an EML object (i.e. otherEntity, publicationDate, etc.)
• all functions should include argument checks in the form of stopifnot statements

Contributing

First Contribution

• Fork the data-processing repository by clicking on the "Fork" button. This copies the repository to your personal github profile.

• Navigate to your personal github profile (https://github.com/YOURUSERNAME/data-processing) and copy the "download with HTTPS:"" link from the "Clone or Download" button. You must do this from your fork on your github profile!

• Next, open an R session and navigate to: File >> New Project >> Version Control >> Git and paste the repository url that you copied into the box.

• Once you've opened the project you can create a new file and save it to the R folder. Alternatively, you can create a new folder with your name in the R folder, and then create a new file in that subdirectory. If this is a script you previously developed, I recommend just copying pasting your code into a new R file. Alternatively you can use the "Upload button" in the "Files" section of the Rstudio viewer to upload your R script.

• When you are ready to commit your files(s) you can do so using the Git tab or terminal in Rstudio. These instructions use terminal: open terminal (if it's not already open) with by pressing Shift+alt+t. The following commands will upload your changes to your fork.

  • git add . Adds all changes to the next commit
  • git commit -m "adding processing scripts" commits your changes. Type and appropriate commit message in the parentheses
  • git push origin master this pushes your commit to the master branch of your fork (your github profile)

• If the commit to your fork is successful, then navigate to your fork: https://github.com/YOURUSERNAME/data-processing.
  From here click on "New Pull Request" to submit your code for review.

Acknowledgements

Work on this package was supported by:

• The Arctic Data Center: NSF-PLR grant #1546024 to M. B. Jones, S. Baker-Yeboah, J. Dozier, M. Schildhauer, and A. Budden

Additional support was provided by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California.