redcap: Redcap Wrapper Class
In Maglado/redcapdata_p: Data management utility support for REDCap repositories

This class is the entry point for interacting with data stored in a REDCap data repository

This object facilitates R's interface with the REDCap repository.

Data can be pulled either in bulk or chunked.

Currently only metadata and records can be pulled.

It also provides other data allied tasks such as data cleaning, error reporting and formatting.

It uses a cache system and logs major events.

Show the object to view status.

A redcap class with an array of data-allied functionality.

opts: RedcapConfig object that controls the mode of interaction with the data repoistory during this object's lifecycle.

format_records(): Format records to add Hmisc labels and create factors
fully_clean_records(): Clean records removing out of range values
get_clean_metadata(): Clean meta data for autogeneration of error report code
get_data_validation_report(pop = FALSE): Get data validation report
get_formatted_data(): Get formatted records from memory
get_fully_cleaned_data(): Get fully cleaned records from memory
get_metadata(): Get raw metadata from memory
get_partially_cleaned_data(): Get partially cleaned records from memory
get_raw_data(): Get raw records from memory. If there is not data in memory, an error is raised. Use load_data() to refresh the cache.
load_data(): Stream data from REDCap. Clears the cache and loads data. < NOTE: Do this only for initial loading or when you are sure there are changes in the data repo >.
load_metadata(): Stream metadata only from REDCap
log(message, level = 0, function_name = ""): Log events <internal use>
partially_clean_records(): Clean records removing coded missing values
validate_data(): Create data validation dataset