Implementation of passed on to REDCap_split with a focused data acquisition approach using passed on to redcap_read and only downloading specified fields, forms and/or events using the built-in focused_metadata including some clean-up. Works with classical and longitudinal projects with or without repeating instruments. Will preserve metadata in the data.frames as labels.
Usage
read_redcap_tables(
uri,
token,
records = NULL,
fields = NULL,
events = NULL,
forms = NULL,
raw_or_label = c("raw", "label", "both"),
split_forms = "all",
...
)Arguments
- uri
REDCap database API uri
- token
API token
- records
records to download
- fields
fields to download
- events
events to download
- forms
forms to download
- raw_or_label
raw or label tags. Can be "raw", "label" or "both".
* "raw": Standard redcap_read method to get raw values. * "label": Standard redcap_read method to get label values. * "both": Get raw values with REDCap labels applied as labels. Use as_factor to format factors with original labels and use the `gtsummary` package functions like tbl_summary to easily get beautiful tables with original labels from REDCap. Use fct_drop to drop empty levels.
- split_forms
Whether to split "repeating" or "all" forms, default is all.
- ...
passed on to redcap_read