rd_checkbox that mis-evaluated the
branching logic of certain checkboxes if they had previously been
transformed with rd_factorsep argument to the redcap_data()
function, allowing users to specify the field separator when reading CSV
dictionary files.Addressed multiple bugs across various functions to enhance stability and reliability.
Improved error handling to provide clearer messages when issues arise.
Fixed inconsistencies in data transformation outputs for certain edge cases.
The rd_transform function has been split into
several smaller subprocess functions. This allows users to:
Apply each transformation step independently.
Inspect intermediate results at each stage.
Have precise control over every change made to their data.
By exposing the individual steps as separate functions, users can now customize the data transformation pipeline to better fit their REDCap datasets.
Updated function descriptions and examples illustrate how to use the subprocesses effectively, making it easier to integrate REDCapDM into data management workflows.
Some older functions related to data transformation have now been deprecated. Users are encouraged to transition to the new subprocess functions for more flexibility and maintainability.
delete_vars in the
redcap_data() function to delete_pattern to
accurately describe its purpose. [Issue #6 in github]delete_vars which allows users to specify variables to be
removed. [Issue #6 in github]
Small bugs fixed in some of the functions
Added new vignettes for a simpler use of the functions
2023-06-02
The rd_transform() function will now also transform the branching logic in the dictionary into R logic.
The rd_query() will now use the information of the event-form to automatically detect the events where the variables are present.
The rd_query() will now automatically apply the branching logic of the variable before generating queries.
Remove descriptive variables from the dictionary in the redcap_data() function.
Improve the resulting summary of the rd_query() function.
New error added to the rd_query() function when trying to use a variable that is not in the dataset.
New error added to the rd_query() function when the logic of the filter was using incorrected logic.
The rd_export() function will now create a themed excel file.
Minor error fixed in the summary report of the rd_query() function when there were multiple variables with zero queries.
Error fixed in the check_queries() function when there were several ‘Miscorrected’ queries.
We now take into account REDCap projects with repeated instruments.
2023-03-31
2023-03-24
2023-03-03
2023-02-24
2023-02-17
2023-01-30
2022-12-20