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Add new target: stressfulness_event.

imputation_and_cleaning
Primoz 2022-11-03 14:49:54 +00:00
parent 5e8174dd41
commit eefa9f3f4d
2 changed files with 6 additions and 4 deletions
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8
config.yaml
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@ -3,7 +3,7 @@
######################################################################################################################## ########################################################################################################################
# See https://www.rapids.science/latest/setup/configuration/#participant-files # See https://www.rapids.science/latest/setup/configuration/#participant-files
PIDS: ['p031', 'p032', 'p033', 'p034', 'p035', 'p036', 'p037', 'p038', 'p039', 'p040', 'p042', 'p043', 'p044', 'p045', 'p046', 'p049', 'p050', 'p052', 'p053', 'p054', 'p055', 'p057', 'p058', 'p059', 'p060', 'p061', 'p062', 'p064', 'p067', 'p068', 'p069', 'p070', 'p071', 'p072', 'p073', 'p074', 'p075', 'p076', 'p077', 'p078', 'p079', 'p080', 'p081', 'p082', 'p083', 'p084', 'p085', 'p086', 'p088', 'p089', 'p090', 'p091', 'p092', 'p093', 'p106', 'p107'] PIDS: ['p03'] #['p031', 'p032', 'p033', 'p034', 'p035', 'p036', 'p037', 'p038', 'p039', 'p040', 'p042', 'p043', 'p044', 'p045', 'p046', 'p049', 'p050', 'p052', 'p053', 'p054', 'p055', 'p057', 'p058', 'p059', 'p060', 'p061', 'p062', 'p064', 'p067', 'p068', 'p069', 'p070', 'p071', 'p072', 'p073', 'p074', 'p075', 'p076', 'p077', 'p078', 'p079', 'p080', 'p081', 'p082', 'p083', 'p084', 'p085', 'p086', 'p088', 'p089', 'p090', 'p091', 'p092', 'p093', 'p106', 'p107']
# See https://www.rapids.science/latest/setup/configuration/#automatic-creation-of-participant-files # See https://www.rapids.science/latest/setup/configuration/#automatic-creation-of-participant-files
CREATE_PARTICIPANT_FILES: CREATE_PARTICIPANT_FILES:
@ -241,7 +241,8 @@ PHONE_ESM:
PROVIDERS: PROVIDERS:
STRAW: STRAW:
COMPUTE: True COMPUTE: True
SCALES: ["PANAS_positive_affect", "PANAS_negative_affect", "JCQ_job_demand", "JCQ_job_control", "JCQ_supervisor_support", "JCQ_coworker_support", "appraisal_stressfulness_period"] SCALES: ["PANAS_positive_affect", "PANAS_negative_affect", "JCQ_job_demand", "JCQ_job_control", "JCQ_supervisor_support", "JCQ_coworker_support",
"appraisal_stressfulness_period", "appraisal_stressfulness_event"]
FEATURES: [mean] FEATURES: [mean]
SRC_SCRIPT: src/features/phone_esm/straw/main.py SRC_SCRIPT: src/features/phone_esm/straw/main.py
@ -732,4 +733,5 @@ PARAMS_FOR_ANALYSIS:
TARGET: TARGET:
COMPUTE: True COMPUTE: True
LABEL: PANAS_negative_affect_mean LABEL: PANAS_negative_affect_mean
ALL_LABELS: [PANAS_positive_affect_mean, PANAS_negative_affect_mean, "JCQ_job_demand_mean", "JCQ_job_control_mean", "JCQ_supervisor_support_mean", "JCQ_coworker_support_mean", "appraisal_stressfulness_period_mean"] ALL_LABELS: [PANAS_positive_affect_mean, PANAS_negative_affect_mean, "JCQ_job_demand_mean", "JCQ_job_control_mean", "JCQ_supervisor_support_mean",
"JCQ_coworker_support_mean", "appraisal_stressfulness_period_mean", "appraisal_stressfulness_event"]

2
src/features/phone_esm/straw/main.py
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@ -42,7 +42,7 @@ def straw_features(sensor_data_files, time_segment, provider, filter_data_by_seg
requested_features = provider["FEATURES"] requested_features = provider["FEATURES"]
# name of the features this function can compute # name of the features this function can compute
requested_scales = provider["SCALES"] requested_scales = provider["SCALES"]
base_features_names = ["PANAS_positive_affect", "PANAS_negative_affect", "JCQ_job_demand", "JCQ_job_control", "JCQ_supervisor_support", "JCQ_coworker_support", "appraisal_stressfulness_period"] base_features_names = ["PANAS_positive_affect", "PANAS_negative_affect", "JCQ_job_demand", "JCQ_job_control", "JCQ_supervisor_support", "JCQ_coworker_support", "appraisal_stressfulness_period", "appraisal_stressfulness_event"]
#TODO Check valid questionnaire and feature names. #TODO Check valid questionnaire and feature names.
# the subset of requested features this function can compute # the subset of requested features this function can compute
features_to_compute = list(set(requested_features) & set(base_features_names)) features_to_compute = list(set(requested_features) & set(base_features_names))