4. jbsteps.csv and gfsteps.csv - LisaGotzian/HeartSteps GitHub Wiki
Using the Jawbone tracker as well as the steps measured using the phone accelerometer ("Google fit"), a participant's steps were recorded throughout the intervention. The minute-by-minute steps are recorded in jbsteps.csv
and gfsteps.csv
, a 197,524x8 dataframe for steps from the Google Fit information and a 237,865x11 dataframe for steps from the Jawbone tracker dataframe for each user for each minute.
We give you two possible identifiers for merging with dailyema:
- decision.index: the current decision time slot, so steps walked since notification was sent
- decision.index.following.dec: the following time slot, so steps walked before notification was sent
identifier: user.index, ema.index, decision.index and steps.utime
Columns | Description |
---|---|
user.index | User ID |
ema.index | Ema ID |
steps.utime | Date-time minute at which steps are walked, minute-by-minute, If the person did not, there is no record |
steps.utime.local | Date-time minute at which steps are walked in local time |
steps | Amount of steps walked |
decision.index | Identifier for suggestions.csv given the same decision slot. Decision.index is the last notification sent, so this identifier aggregates steps walked after a notification (772 NA (= before the first notif)) |
slot | Decision time slot for this following decision index corresponding to sugg.select.slot |
study.day.nogap | Day in study for decision.index, starting from 0, excluding travel days |
decision.index.following.dec | Identifier for suggestions.csv given the following decision slot. Decision.index.following.dec is the next notification sent, so this identifier aggregates steps walked before a notification (2421 NA (= after the last notif)) |
slot.following.dec | Decision time slot for the following decision index corresponding to sugg.select.slot |
study.day.nogap.following.dec | Day in study for decision.index.following.dec, starting from 0, excluding travel days |