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Andreas Gammelgaard Damsbo 2024-11-15 20:47:23 +01:00
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README.md
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@ -23,6 +23,8 @@ I started working on this project as the castellated longitudinal data set was a
For any more advanced uses, consider using the [`redcapAPI`](https://github.com/vubiostat/redcapAPI) or [`REDCapR`](https://ouhscbbmc.github.io/REDCapR/) packages.
What is unique in this package, is the work towards making it a lot easier to move data from different sources to REDCap databases: casting REDCap metadata based on a spreadsheet. This is all wrapped in `shiny_cast()`and [hosted for all to use here](https://agdamsbo.shinyapps.io/redcapcast/).
## Main functionality
Here is just a short description of the main functions:
@ -39,7 +41,7 @@ Here is just a short description of the main functions:
* `doc2dd()`: Converts a document table to data dictionary. This allows to specify instrument or whole data dictionary in text document, which for most is easier to work with and easily modifiable. Very much like a easy version of just working directly in the data dictionary file itself.
* `shiny_cast()`: [Shiny](https://shiny.posit.co/) application to ease the process of converting a spreadsheet/data set to a REDCap database. The app runs locally and data is transferred securely. You can just create and upload the data dictionary, but you can also transfer the given data in the same process. The app is [hosted on shinyapps.io](https://agdamsbo.shinyapps.io/redcapcast/) ~~while I work on a [shinylive](https://posit-dev.github.io/r-shinylive/) implementation~~.
* `shiny_cast()`: [Shiny](https://shiny.posit.co/) application to ease the process of converting a spreadsheet/data set to a REDCap database. The app runs locally and data is transferred securely. You can just create and upload the data dictionary, but you can also transfer the given data in the same process. The app is [hosted on shinyapps.io](https://agdamsbo.shinyapps.io/redcapcast/).
## Future