minor changes.

This commit is contained in:
Andreas Gammelgaard Damsbo 2024-02-27 12:58:38 +01:00
parent cff0977fb9
commit a0730cb41c
3 changed files with 6 additions and 4 deletions

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@ -16,8 +16,8 @@ Description: Originally forked from the R part of 'REDCapRITS' by Paul Egeler.
1) an intuitive interface for validated data capture; 2) audit trails for 1) an intuitive interface for validated data capture; 2) audit trails for
tracking data manipulation and export procedures; 3) automated export tracking data manipulation and export procedures; 3) automated export
procedures for seamless data downloads to common statistical packages; and procedures for seamless data downloads to common statistical packages; and
4) procedures for data integration and interoperability with external sources 4) procedures for data integration and interoperability with external
(Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>;
Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>). Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).
Depends: R (>= 3.4.0) Depends: R (>= 3.4.0)
Suggests: Suggests:

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@ -12,7 +12,9 @@
* NEW: `ds2dd_detailed()`: extension of the `ds2dd()`, which serves to preserve as much metadata as possible automatically. Depends on a group of helper functions also introduced. Of special note is the `guess_time_only_filter()`, which will try to guess which columns/variables should be formatted as time only formats. Supports hms time format. DETAILED INSTRUCTION AND VIGNETTE IS PENDING. * NEW: `ds2dd_detailed()`: extension of the `ds2dd()`, which serves to preserve as much metadata as possible automatically. Depends on a group of helper functions also introduced. Of special note is the `guess_time_only_filter()`, which will try to guess which columns/variables should be formatted as time only formats. Supports hms time format. DETAILED INSTRUCTION AND VIGNETTE IS PENDING.
* NEW: `read_redcap_instrument()` convenience function to retrieve complete instrument. Goes a little against the focused approach. DETAILED INSTRUCTION IS PENDING. * NEW: `read_redcap_instrument()`: convenience function to retrieve complete instrument. Goes a little against the focused approach. With `REDCapR::redcap_read()` you can specify a form to download. You have to also specify the record id variable though. This is done for you with `read_redcap_instrument()`. Nothing fancy.
* NEW: `shiny_cast()`: [Shiny](https://www.rstudio.com/products/shiny/) 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. I plan to host the app with shinyapps.io, but for now you can run it locally.
### Other ### Other

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@ -32,7 +32,7 @@ Here is just a short description of the main functions:
* `ds2dd_detailed()`: Converts a data set to a data dictionary for upload to a new REDCap database. Variables (fields) and instruments in a REDCap data base are defined by this data dictionary. * `ds2dd_detailed()`: Converts a data set to a data dictionary for upload to a new REDCap database. Variables (fields) and instruments in a REDCap data base are defined by this data dictionary.
* `shiny_cast()`: [Shiny]() 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. * `shiny_cast()`: [Shiny](https://www.rstudio.com/products/shiny/) 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.
## Future ## Future