Comments (2)
In addition - we use rlang::quos
on output_CDT
(and perhaps other functions) taken from R-Instat. For consistency we should change these too to whichever system we go for?
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Maybe we should use one of these functions to demonstrate how the tidy evaluation could work? Seeing how it works with checkmate
etc. to check its feasible. I don't mind having this inconsistency while we are deciding.
If it works well we can implement tidy evaluation throughout, otherwise we can change these to use strings.
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Related Issues (20)
- Creates extremes function
- Refer to `naflex` package on CRAN HOT 1
- Add an example dataset to the package
- Parameter names - consistency HOT 5
- Export CDT Dekadal data HOT 6
- Package name HOT 3
- Only use names and function signatures that are also valid in Python HOT 8
- The signature of `export_geoclim_month` is inconsistent with Python
- Bugs in the inventory_plot function HOT 1
- Make tests accessible on installed package HOT 3
- Bug when using elements in the climatic_summary function HOT 2
- Add test for climatic_summary when there's no summaries provided
- Errors in prepare_geoclim function HOT 2
- Add test for climatic_summary that contains a `summaries_params` parameter HOT 3
- "element" not recognized in Input (file_path = paste0("CDT-", element, ".csv")
- Incorrect column names from export_geoclim_month.R
- R functions to write tests on HOT 4
- Parameters ignored in `export_geoclim_dekad()` and `export_geoclim_pentad()` HOT 1
- Invalid tests in `test-histogram_plot.R`
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