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Catriona Maclean #12

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21 of 22 tasks
catrionamaclean opened this issue Sep 28, 2023 · 5 comments
Open
21 of 22 tasks

Catriona Maclean #12

catrionamaclean opened this issue Sep 28, 2023 · 5 comments

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@catrionamaclean
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catrionamaclean commented Sep 28, 2023

Hello everyone! Please use this checklist over the next few weeks as you go through your health data science journey 🎉. Tick each item as your complete it!


Week 2: Your first repository

  • 1. Install GitHub desktop and connect it to your GitHub account
  • 2. Create a public repository and add a readme file
  • 3. Publish the repository to GitHub
  • 4. Add a new file in your local repository, commit the file addition, and push it to the remote repository on GitHub
  • 5. Modify the new file (or the Readme file), commit the change, and push it to the remote repository on GitHub
  • 6. Comment on this issue with a link to your repository

Week 4: Rmarkdown

  • 1. Create a new public repository on GitHub Desktop and add a readme file.
  • 2. Publish the repository to GitHub
  • 3. Open RStudio and create a new project in an existing directory (the directory of your repository)
  • 4. Download the file "R_Rstudio_Rmarkdown.Rmd" from the week 4 "Practical: R markdown" section on MyAberdeen and save it in your project
  • 5. Work through the Rmarkdown file, remembering to commit and push your changes to the remote repository on GitHub
  • 6. Optional: if you have questions you'd like to discuss with your group members, create issues on GitHub and let them know
  • 7. Comment on this issue with a link to your new repository

Week 5: Practical: reading data in R

  • 1. Create a new public repository on GitHub Desktop and add a readme file. This will be the main repository for the R material from this course, so give it a good name 😃
  • 2. Publish the repository to GitHub
  • 3. Open RStudio and create a new project in an existing directory (the directory of your repository)
  • 4. Create an appropriate folder structure according to the good coding practices discussed in week 5
  • 5. Download the data files and Rmarkdown file from the week 5 "Practical: reading data in R" section on MyAberdeen and save them in the appropriate folders in your project
  • 6. Work through the Rmarkdown file, remembering to commit and push your changes to the remote repository on GitHub
  • 7. Optional: if you have questions you'd like to discuss with your collaborators, create issues on GitHub and let them know
  • 8. Comment on this issue with a link to your new repository

Week 6-10: Your project
Now that you have become familiar with GitHub, you can start using it to prepare your report, and get help and feedback from your group members.

  • Comment on this issue with a link to your report repository
@catrionamaclean
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Here's the link to my first ever GitHub repository:

https://github.com/catrionamaclean/my_first_repo

Very proud of myself 😁

@dblana
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dblana commented Sep 29, 2023

Well done Catriona! 🎉

@catrionamaclean
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Here's a link to my Week 4 repository:

https://github.com/catrionamaclean/Week_4_Repository

It should contain the R Studio Project, 2 R markdown files (1 downloaded from the course and saved to my project, 1 new example created by myself)

The corresponding PDF outputs should also be available in this repository.

@dblana
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dblana commented Oct 12, 2023

Excellent, very nicely organised! 😃

@catrionamaclean
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Here's a link to my Week 5 repository:

https://github.com/catrionamaclean/Week_05_Repository

It has 3 commit points

  1. The initial project creation with the suggested folder structure
  2. Downloading and saving the files into the relevant folders
  3. Working through of the exercise, knitting the pdf and saving the result

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