data_path: Character string with the pathname of the R file to read the dataset from.
dic_path: Character string with the pathname of the dictionary.
event_path: Character string with the pathname of the file containing the correspondence between each event and each form (it can be downloaded through the Designate Instruments for My Events tab inside the Project Setup section of REDCap)
uri: The URI (Uniform Resource Identification) of the REDCap project.
token: Character vector with the generated token.
filter_field: Character vector with the fields of the REDCap project desired to import into R (API connection only)<.
Returns
List containing the dataset and the dictionary of the REDCap project. If the event_path is specified, it will also contain a third element with the correspondence of the events & forms of the project.
Note
If you will give further use to the package, we advise you to use the argument 'dic_path' to read your dictionary, as all other functions need it in order to run properly.
To read exported data, you must first use REDCap's 'Export Data' function and select the 'R Statistical Software' format. It will then generate a CSV file with all the observations and an R file with the necessary code to complete each variable's information.
Examples
## Not run:# Exported files from REDCapdataset <- redcap_data(data_path ="C:/Users/username/example.r", dic_path ="C:/Users/username/example_dictionary.csv", event_path ="C:/Users/username/events.csv")# API connectiondataset_api <- redcap_data(uri ="https://redcap.idibell.cat/api/", token ="55E5C3D1E83213ADA2182A4BFDEA")# This token is fictitious## End(Not run)