def run_all(code, roi_class_name, trials_name):
""" Run sub() for all subjects, writing each Ss results separately.
Note: Must be run from the parent folder of all the fMRI datasets."""
subjects = [101, 102, 103, 104, 105, 106, 108, 109, 111, 112, 113, 114,
115, 116, 117, 118]
all_results = {}
for sub in subjects:
print(sub)
results = run(sub, roi_class_name, trials_name)
print('Writing...')
write_hdf(results, str(sub) + '_' + str(code) + '_roi_result.hdf5')
del(results)
"wartaskAB_Superior Frontal Gyrus_bold.txt",
"wartaskAB_Right Amygdala_bold.txt",
"wartaskAB_Left Amygdala_bold.txt",
"wartaskAB_Insular Cortex_bold.txt",
"wartaskAB_Occipital Pole_bold.txt",
"wartaskAB_Frontal Orbital Cortex_bold.txt"]
## This time do not both with the functional ROI data
#subjects = [101, ] # for debug
subjects = [101, 102, 103, 104, 105, 106, 108, 109, 111, 112, 113, 114,
115, 116, 117, 118]
# --
# Loop over subjects
for sub in subjects:
# main() does all the work, then write results
print(sub)
sub_results = main(sub, roi_names)
print('Writing results.') ## into a hdf5
results_name = str(sub) + '_' + exp_name + '_roi_result.hdf5'
write_hdf(sub_results, results_name)
del(sub_results)
# Now extract the scores from the results
# hdf5 file into something that can be easily
# read into R for analyis.
print("Getting and saving scores.")
write_all_scores_as_df(results_name, str(sub) + exp_name)
