Commit Graph

7 Commits (23c3613c60c0a66ea8cb28aa9d913c5ea5665bb6)

Author SHA1 Message Date
junos 23c3613c60 Analyze adherence:
Look at time differences between subsequent daytime EMA.
Look at the daily evening EMA proportion.
2021-06-11 20:28:24 +02:00
junos f48e5469e0 Finish labelling EMA sessions and document classify_sessions_adherence function. 2021-06-11 14:50:14 +02:00
junos 151bbfe360 Add a plot of adherence. 2021-06-08 22:42:56 +02:00
junos 9cba88a6e3 Correct adherence data to only count sessions once.
Add age as a float predictor.
Obtain the same result with linear regression.
2021-06-08 22:32:14 +02:00
junos 1294ee40a0 Add ANOVA for adherence and gender + country. 2021-06-08 17:16:08 +02:00
junos de32241d51 Classify and count adherence.
Add statsmodels.
2021-06-08 16:40:01 +02:00
junos 7177c8429f [WIP] Start calculating concordance.
Note, workday and morning EMAs have not been properly dealt with, but assumed answered.
2021-06-08 16:07:39 +02:00