diff --git a/README.md b/README.md index 738e0a0..3ac2bd1 100644 --- a/README.md +++ b/README.md @@ -32,13 +32,18 @@ Take a look to the [website](https://phuse-org.github.io/git-in-statistical-prog You can get involved in one of the following ways 2.1 - If you wish to join the working group please [go here](https://advance.hub.phuse.global/wiki/spaces/WEL/pages/90472449/The+Use+of+Git+in+Statistical+Programming) for the leads to reach out to them + 2.2 - You can get involved in discussion via the issues + 2.3 - You can propose a merge request via a fork if you see something that needs fixing ### 2.3. Using Git, to propose changes! -#### 2.3.1 About cloning, branching and pushing + +
+ +2.3.1 About cloning, branching and pushing Basic steps to get into this "Git world" @@ -63,7 +68,14 @@ Basic steps to get into this "Git world" 💡NOTE: If you like to use your Chat GPT to teach you more about these steps, use it. No fear to break anything! 💡NOTE2: There is a wonderful tutorial in [Coursera] (https://www.coursera.org/learn/making-data-science-work-for-clinical-reporting#modules) to practise on your own how to do these steps. Very easy and well explained (and you get a certification 🎓 at the end!) -#### 2.3.2 About R +
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+ +2.3.2 About R + This repository will be using quarto. To support this repository, there is an **renv lock** file which is currently bare bones. (This means we can keep traceability of the R packages we are using within this repo) @@ -79,12 +91,21 @@ renv::snapshot() For the poster it would be nice to have some stats in a jupyter or Rmarkdown about issues around Git (or some charts explaining key points). To start with, -0 - clone the repo in your laptop -1 - create your own git branch: + +0 - after you have clones the repo in your laptop + +1 - you are in your branch + ```sh # in terminal, within your project directory +#create your own git branch: git checkout -b yourname_dev +# or switch to your branch +git switch yourname_dev ``` + 2- A folder called **"script_ideas"** will be the SANDBOX with your scripts/ collaborative scripts/pictures to get some charts/numbers around this topic (for the paper or poster, or to discuss in our meetings). +
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