Sure. So, I have 7 days of data per person, collected 24 hrs/day in 15-sec intervals, and as the data are organized currently, each 15-second interval is its own row. Eventually I would to have like a dataset that looks like this, where I have already removed all of the data for the chunks of time when I know (based on separate logs) that each person was sleeping. Participant WearDay1 SittingHrs1 StandHrs1 SteppingHrs1 SitStandTransitions1 Steps1 WearDay2 SittingHrs2 StandHrs2... Guy Smiley 3/4/2014 9.1 2.6 1.8 41 5596 3/5/2014 9.6 2.1 Kermit 11/21/2013 8.6 4.1 2.2 68 7637 11/22/2014 8.8 3.2 PrairieDawn 5/9/2014 9.9 1.9 1.3 32 2974 5/10/2014 8.7 1.5 Then I would create overall variables for each person's week, so that I know the average hrs/day each person spends sitting down, standing up, and stepping, as well as the average number of steps/day they take, and the average number of sit-to-stand transitions they make. *** EDited this to fix a couple of variable names.
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