Comments (3)
judith-bourque
commented on August 29, 2024
1
@hubcad25 I finished the review. Love the initiative and good job!! C'est vraiment cool! 👏
For the suggestions, feel free to only address what you think is relevant. You can convert an item from the checklist into an issue by hovering over it.
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hubcad25
commented on August 29, 2024
1
Merci beaucoup, très apprécié! :D I created issues with bigger tasks. I probably won't standardize all the variable and file names before submitting given that it is clear enough IMO, but will keep it in the to-do
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judith-bourque
commented on August 29, 2024
If there's respondent data that can't be published, could produce random data with a seed.
Would have to validate if this would prevent reidentification when compared with the final results.
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Related Issues (13)
- OPEN: help wanted on the models in `mrp/codes/5_testing_models.R`
- Generate post-strat table with regions as units
- Add robust SE to regression models HOT 1
- new reg table with `modelsummary`
- Use clessnverse::normalize_variable instead of custum function in `codes/generate_table3.R`
- Put package prefix to functions, especially niche functions like `descr::crosstab()` or functions that can cause conflicts with base R functions.
- In README, explain mrp folder
- Standardise variable name and file name formats. People outside of the CLESSN won't be familiar with the team's conventions. Choose either snake_case, camelCase, not both. Tidyverse style guide recommends snake_case. Will make reading, writing and adjusting code easier.
- Change `readRDS("mrp/data/real_survey_data.rds")` to `readRDS("mrp/data/simulated_survey_data.rds")`
- Add documentation when making post-strat table in `mrp/codes/3_generate_postStrat_table.R`
- Better documentation of functions used to predict ordinal multilevel models OR make a package?
- OPEN: confirmation of the code of the functions used to predict ordinal multilevel models
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