Closes #2388 numeric country decodes

[jeffreyad]

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[millerg23]

I think we have 2 other possible solutions for storing the country codes:

1. Have a function called get_country_codes with the tibble inside it, then user can define the name of the dataset or call the function directly ie. dataset_add = get_country_codes().
2. We store the dataset in data folder with r script that creates it stored in a sub-folder of inst (data.R would need updated also).

I don't think we have any other scripts that creates a dataset directly, like this does. So would be good to be consistent how we create what is essentially metadata?

[bundfussr]

I think we have 2 other possible solutions for storing the country codes:

1. Have a function called get_country_codes with the tibble inside it, then user can define the name of the dataset or call the function directly ie. dataset_add = get_country_codes().
2. We store the dataset in data folder with r script that creates it stored in a sub-folder of inst (data.R would need updated also).

I don't think we have any other scripts that creates a dataset directly, like this does. So would be good to be consistent how we create what is essentially metadata?

Usually, datasets are stored in data and the scripts which create them should be stored in data-raw. Unfortunately, we are not following this convention. I would discuss it at the next meeting.

[jeffreyad]

I think we have 2 other possible solutions for storing the country codes:

1. Have a function called get_country_codes with the tibble inside it, then user can define the name of the dataset or call the function directly ie. dataset_add = get_country_codes().
2. We store the dataset in data folder with r script that creates it stored in a sub-folder of inst (data.R would need updated also).

I don't think we have any other scripts that creates a dataset directly, like this does. So would be good to be consistent how we create what is essentially metadata?

Thanks @millerg23 and @bundfussr, I noticed dose_freq_lookup in create_single_dose_dataset() creates a tibble in this way. But I agree they should be consistent.