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Closes #2388 numeric country decodes #2419

Merged
merged 17 commits into from
May 23, 2024
Merged

Closes #2388 numeric country decodes #2419

merged 17 commits into from
May 23, 2024

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jeffreyad
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@jeffreyad jeffreyad commented Apr 25, 2024

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@jeffreyad jeffreyad linked an issue Apr 25, 2024 that may be closed by this pull request
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github-actions bot commented Apr 25, 2024

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NEWS.md Outdated Show resolved Hide resolved
R/create_country_codes.R Outdated Show resolved Hide resolved
@millerg23
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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
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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 and others added 4 commits April 26, 2024 08:02
Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com>
Co-authored-by: Edoardo Mancini <53403957+manciniedoardo@users.noreply.github.com>
@jeffreyad
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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.

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Looks good to me!

NEWS.md Outdated Show resolved Hide resolved
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Jeffrey Dickinson and others added 2 commits May 16, 2024 18:10
Co-authored-by: Stefan Bundfuss <80953585+bundfussr@users.noreply.github.com>
#' `country_number` is the numeric code corresponding to an alphabetic sorting of
#' the 3-letter codes.
#'
#' To see the entire table in the console, run `print(country_code_lookup)`.
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nice tip!!

#' library(lubridate)
#'
#' # Create reference dataset for periods
#' adsl <- tribble( #' adsl <- tribble(
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I think there is a wayward #' in here?

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@jeffreyad could you check on this example? Is the #' needed? after that we can merge

@bms63 bms63 merged commit 648bdab into main May 23, 2024
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@bms63 bms63 deleted the 2388_numeric_country_decodes branch May 23, 2024 16:08
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Feature Request: Add numeric decodes for COUNTRY
5 participants