aedb8b6785
Write questionnaire data to data/interim.
2022-03-01 12:02:36 +01:00
30ac8b1cd5
Start calculating demand control features.
2022-02-23 19:08:10 +01:00
176367631b
Prepare baseline feature rule.
2022-02-23 11:09:33 +01:00
bf9c764c97
Split baseline data to participants.
...
And some csv I/O settings.
2022-02-04 18:37:57 +01:00
16e608db74
First merge baseline datasets.
2022-02-04 18:21:42 +01:00
204f6f50b0
Read the relevant files.
2022-02-04 18:06:02 +01:00
685ed6a546
Set up demographic data download.
2022-02-04 17:37:00 +01:00
ffa7a30575
Make place for STRAW models.
2022-02-04 17:25:24 +01:00
5bad3eb8b5
Data cleaning ( #166 )
...
* Refactor data cleaning module: move it from example workflow to main directory
* Replace NAs with 0 in selected event-based features
* Add one step to drop highly correlated features
Co-authored-by: Weiyu <weiyuhuang7@gmail.com>
2021-11-19 10:34:36 -05:00
2b6447105a
Migrate analysis example to new data stream
2021-03-12 19:52:34 -05:00
fae0c2ac05
Swap TABLE for CONTAINER
2021-03-12 18:14:49 -05:00
614e759551
Refactor day segments to time segments
2020-12-02 18:41:03 -05:00
5178be585d
Rename modeling.py to modelling.py & Update example_config.yaml
2020-11-25 22:35:38 -05:00
b4a512faf3
Add analysis example workflow
2020-11-25 16:34:05 -05:00
00385dc54d
Discard useless parameters and related code of example
2020-08-17 10:48:15 -04:00
b83f8ead44
Refactor snakefiles to smk files and create common.smk
2020-08-11 18:45:50 -04:00
junos
Meng Li
JulioV