eventmerge: Merge Mobile EMA (mEMA) event-level data into momentary data

In EMAtools: Data Management Tools for Real-Time Monitoring/Ecological Momentary Assessment 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")

Example output

EMAtools documentation built on Nov. 1, 2021, 1:07 a.m.