Export the metadata (as a data dictionary) of a REDCap project
as a base::data.frame()
. Each row in the data dictionary corresponds to
one field in the project's dataset.
redcap_metadata_read(
redcap_uri,
token,
forms = NULL,
forms_collapsed = "",
fields = NULL,
fields_collapsed = "",
verbose = TRUE,
config_options = NULL
)
Currently, a list is returned with the following elements:
data
: An R base::data.frame()
of the desired records and columns.
success
: A boolean value indicating if the operation was apparently
successful.
status_codes
: A collection of
http status codes,
separated by semicolons. There is one code for each batch attempted.
outcome_messages
: A collection of human readable strings indicating the
operations' semicolons. There is one code for each batch attempted. In an
unsuccessful operation, it should contain diagnostic information.
forms_collapsed
: The desired records IDs, collapsed into a single
string, separated by commas.
fields_collapsed
: The desired field names, collapsed into a single
string, separated by commas.
elapsed_seconds
: The duration of the function.
The URI (uniform resource identifier) of the REDCap project. Required.
The user-specific string that serves as the password for a project. Required.
An array, where each element corresponds to the REDCap form of the desired fields. Optional.
A single string, where the desired forms are separated by commas. Optional.
An array, where each element corresponds to a desired project field. Optional.
A single string, where the desired field names are separated by commas. Optional.
A boolean value indicating if message
s should be printed
to the R console during the operation. The verbose output might contain
sensitive information (e.g. PHI), so turn this off if the output might
be visible somewhere public. Optional.
A list of options to pass to POST
method in the
httr
package. See the details in redcap_read_oneshot()
. Optional.
Will Beasley
Specifically, it internally uses multiple calls to redcap_read_oneshot()
to select and return data. Initially, only primary key is queried through
the REDCap API. The long list is then subsetted into partitions, whose
sizes are determined by the batch_size
parameter. REDCap is then queried
for all variables of the subset's subjects. This is repeated for each
subset, before returning a unified base::data.frame()
.
The function allows a delay between calls, which allows the server to attend to other users' requests.
The official documentation can be found on the 'API Help Page' and 'API Examples' pages on the REDCap wiki (i.e., https://community.projectredcap.org/articles/456/api-documentation.html and https://community.projectredcap.org/articles/462/api-examples.html). If you do not have an account for the wiki, please ask your campus REDCap administrator to send you the static material.
if (FALSE) {
uri <- "https://bbmc.ouhsc.edu/redcap/api/"
token <- "9A81268476645C4E5F03428B8AC3AA7B"
REDCapR::redcap_metadata_read(redcap_uri=uri, token=token)
}
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