The goal of this guide is to help you in contributing to pathfindR. The guide is divided into two main pieces:

  1. Filing a bug report or feature request in an issue.
  2. Suggesting a change via a pull request.

Please note that pathfindR is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Issues

When filing an issue, the most important thing is to include a minimal reproducible example so that we can quickly verify the problem, and then figure out how to fix it. There are three things you need to include to make your example reproducible: required packages, data, code.

  1. Packages should be loaded at the top of the script, so it’s easy to see which ones the example needs.

  2. The easiest way to include data is to use dput() to generate the R code to recreate it. For example, to recreate the mtcars dataset in R, I’d perform the following steps:

    1. Run dput(mtcars) in R
    2. Copy the output
    3. In my reproducible script, type mtcars <- then paste.

    But even better is if you can create a data.frame() with just a handful of rows and columns that still illustrates the problem.

    For more complex data, you can use saveRDS() to save the object and attach it with the issue.

  3. Spend a little bit of time ensuring that your code is easy for others to read:

    • make sure you’ve used spaces and your variable names are concise, but informative

    • use comments to indicate where your problem lies

    • do your best to remove everything that is not related to the problem.
      The shorter your code is, the easier it is to understand.

You can check you have actually made a reproducible example by starting up a fresh R session and pasting your script in.

Pull requests

To contribute a change to pathfindR, you follow these steps:

  1. Create a branch in git and make your changes.
  2. Push branch to github and issue pull request (PR).
  3. Discuss the pull request.
  4. Iterate until either we accept the PR or decide that it’s not a good fit for pathfindR.

If you’re not familiar with git or github, please start by reading http://r-pkgs.had.co.nz/git.html

Attribution

This Contributing guide was adapted from ggplot2