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Getting Started with Inferential Statistics

This is a repository which contains all the materials to be used in getting started with descriptive statistics course. This course is run by Ponrawee Prasertsom (ponrawee.prasertsom@ed.ac.uk) and Christopher A Oldnall (chris.oldnall@ed.ac.uk). If you notice any mistakes or have any recommendations or comments please get in touch.

For this course, you will need to use the R programming language. There is an expectation that you are familiar with the r-environment but not one particular style or any packages in particular. In order to use R there are some instructions below:

License

All material collected here is free to use but is covered by a License: License: CC BY-NC 4.0 license

For R On Noteable

  1. Go to https://noteable.edina.ac.uk/login
  2. Login with your EASE credentials
  3. Select RStudio as a personal notebook server and press start
  4. Go to File > New Project> Version Control > Git
  5. Copy and Paste this repository URL https://github.com/DCS-training/InferentialStatistics as the Repository URL (The Project directory name will filled in automatically but you can change it if you want your folder in Notable to have a different name).
  6. Decide where to locate the folder. By default, it will locate it in your home directory
  7. Press Create Project Congratulations you have now pulled the content of the repository on your Notable server space.

For Python On Noteable

  1. Go to https://noteable.edina.ac.uk/login
  2. Login with your EASE credentials
  3. Select 'Standard Notebook (Python3)' as a personal notebook server and press start
  4. Click the '+GitRepo'
  5. Copy and Paste this repository URL https://github.com/DCS-training/InferentialStatistics as the Repository URL - you do not need to add in any other fields.
  6. Decide where to locate the folder. By default, it will locate it in your home directory
  7. Press 'Clone' Congratulations you have now pulled the content of the repository on your Notable server space.