Community variograms and associated null models
#install.packages(devtools)
library(devtools)
install_github("mcglinnlab/vario")
-
Fork the repo to your local GitHub account
-
Clone your forked version of the repo to your machine
git clone git@github.com:your_user_name/vario.git
- Link your local repo back to the master branch on mcglinnlab
git remote add upstream git@github.com:mcglinnlab/vario.git
- Create a new branch that will contain your changes using
git branch new_feature
where new_feature
is whatever name you decide to call your branch - typically
a string that suggests what the branch is meant to accomplish
- Checkout the branch using
git checkout new_feature
- Stage the files you have created to accomplish your task using
git add mycode.R
- Commit your changes using
git commit -m "Add a function to test for autocorrelation"
where the information in quotes is your commit message
- Push your changes using
git push origin new_feature
this will put your local changes to your new_feature
branch online at your
personal github page.
-
Submit a pull request Via your web-browser. Navigate to your forked copy of
vario
and navigate to your branchnew_feature
once you're on that branch there should be a button on the right called "Pull request" click it. Add any relevant information. The other collaborators on the project will recive an email. -
Allow for time for your collaborators to review your changes. If accepted your changes will be merged into the master branch on mcglinnlab.
-
Now that your branch
new_feature
has been merged into master you should update your forked copy of the repo by fetching the updateupstream
branch using
git fetch upstream
- Merge those changes with your local copy
git merge upstream/master
- Push the merge back to your forked repo
git push origin master
Always repeat steps 11-13 before you begin work on the project in the future. This ensures that your local copy does not become out-of-date with the main repository.
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