eventmerge {EMAtools} | R Documentation |
Merge Mobile EMA (mEMA) event-level data into momentary data
Description
This allows you to merge event-level data (e.g., yes/no to an event) into momentary data, placing the event with the most recent momentary datapoint before the event
Usage
eventmerge(MOMENTARY, EVENT, eventNAME = "eventYN")
Arguments
MOMENTARY |
a dataframe with momentary (i.e., level-1) data exported from mEMA, should have the following columns (all mEMA default names): KEY, instance_key, subject_id,timestamp |
EVENT |
a dataframe with event data (i.e., level-2) that should have the following columns (all mEMA default): instance_key subject_id respondent_id timestamp local_date survey_id timezone_offset as well as an "event" column in the last column of the dataframe (can be any name) |
eventNAME |
variable name for your event in the final merged dataset (does not have to match last column in EVENT dataset, but can). Defaults to "eventYN". |
Value
A dataframe that contains event data merged into your momentary data. It will have N rows = N rows in the momentary dataset.
Examples
## Not run: newDATA<-eventmerge(MOMENTARYdata,EVENTdata,eventNAME="eventYN")