eventsMethods: Export, Import, and Delete Event Settings

In redcapAPI: Interface to 'REDCap'

Export, Import, and Delete Event Settings

Description

These methods enable the user to export event settings, import new events, update settings for existing events, or delete events.

Usage

exportEvents(rcon, ...)

importEvents(rcon, data, override = FALSE, ...)

deleteEvents(rcon, events = NULL, ...)

## S3 method for class 'redcapApiConnection'
exportEvents(rcon, arms = NULL, ...)

## S3 method for class 'redcapApiConnection'
importEvents(rcon, data, override = FALSE, ...)

## S3 method for class 'redcapApiConnection'
deleteEvents(rcon, events = NULL, ...)

Arguments

rcon	A redcapConnection object.
arms	character or integerish identifying the arm numbers for which event data will be exported.
events	character giving the unique event names of the events to be deleted.
data	data.frame. Must have columns event_name and arm_num. To modify existing events, it must also have a column unique_event_name. It may optionally have columns for days_offset, offset_min, offset_max. For backward compatibility, this argument may be passed as event_data.
override	logical(1). By default, data will add to or modify existing arms data. When TRUE, all the existing arms data is deleted and replaced with the contents of data.
...	Arguments to pass to other methods

Details

Exporting events is not supported for classical REDCap projects. If the user attempts to export arms for a classical project, a data frame will be returned with zero rows.

Additionally, in order for events to be exported, the project must be longitudinal, have at least one arm, and at least one event defined. When these conditions are not satifisfied, exportEvents will return a data frame with zero rows.

To import new events, the user must provide data with the unique_event_name set to NA (REDCap assigns the unique event name automatically from the user provided event_name).

To modify existing events, the user must provide the unique_event_name. The other fields in the data provided will overwrite the current values for the matching event.

Deleting events–whether by deleteEvents or importEvents with override = TRUE–is a destructive act that also deletes arms and records associated with the event. This is irreversible data loss. REDCap will only permit these actions to occur in projects in Development status.

Value

exportEvents returns a data frame with the columns:

event_name	The user provided name for the event.
arm_num	The arm number the event is associated with.
unique_event_name	The REDCap generated event name.
custom_event_label	An optional user provided label that may be used in place of the event name.
event_id	REDCap's internal event identifier.
days_offset	The number of days since time zero (start of the study or project period) an event is scheduled to occur. This field is only provided when the scheduling module is enabled.
offset_min	The number of days before the days_offset during which the event may occur. This field is only provided when the scheduling module is enabled.
offset_max	The number of days before the days_offset during which the event may occur. This field is only provided when the scheduling module is enabled.

importEvents invisibly returns the number of events added or modified.

deleteEvents invisibly returns the number of events deleted.

Functions

• exportEvents(): Export events from a REDCap project.

• importEvents(): Add events to a project or modify existing events.

• deleteEvents(): Delete events from a project.

See Also

exportMappings(),
importMappings()

Examples

## Not run: 
unlockREDCap(connections = c(rcon = "project_alias"), 
             url = "your_redcap_url", 
             keyring = "API_KEYs", 
             envir = globalenv())

# Export all events
exportEvents(rcon)

# Export events for a subset of arms
exportEvents(rcon, 
             arms = c(1, 3))
             
# Import new events
NewEvents <- data.frame(event_name = c("Event 1", 
                                       "Event 2"), 
                        arm_num = c(1, 1))
importEvents(rcon, 
             data = NewEvents)
             
# Modify existing events
UpdateEvents <- data.frame(event_name = "Event 2 New Name", 
                           arm_num = 1, 
                           unique_event_name = "event_2_arm_1", 
                           custom_event_label = "The second visit")
importEvents(rcon, 
             data = UpdateEvents)
             
# Replace all events with a new set
NewEvents <- data.frame(event_name = c("Event 1", 
                                       "Event 2", 
                                       "Event 1"), 
                        arm_num = c(1, 1, 2))
importEvents(rcon, 
             data = NewEvents, 
             override = TRUE)
             
# Delete events
deleteEvents(rcon, 
             events = c("event_1_arm_1", "event_1_arm_2"))

## End(Not run)

redcapAPI documentation built on Oct. 17, 2024, 5:07 p.m.