Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

R data preparation to add age rescaling and determinism #66

Merged
merged 61 commits into from
Feb 14, 2024

Conversation

sgreenbury
Copy link
Collaborator

Closes #63.

@sgreenbury sgreenbury requested a review from HSalat January 19, 2024 11:30
@sgreenbury
Copy link
Collaborator Author

sgreenbury commented Jan 19, 2024

Upon re-running steps 1 (all outputs in Data/prepData) and step 2 (tested for E06000001 and E09000001), the outputs are now deterministically produced from the given random seed on a given machine.

Copy link
Collaborator

@HSalat HSalat left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Quite interesting! I should learn how to do all this.

@sgreenbury
Copy link
Collaborator Author

Quite interesting! I should learn how to do all this.

Thanks for taking a look and the review!

@sgreenbury sgreenbury merged commit 476ad88 into main Feb 14, 2024
2 checks passed
@sgreenbury sgreenbury deleted the 63-r-data-prep branch February 14, 2024 09:43
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Make first step (raw_to_prepared.R) fully runnable
2 participants