from __future__ import division
import TL_functions as tl
import multiprocessing
def get_good_study(data_list, sig = True):
"""Return a list of studies that pass the criteria check"""
study_list_data = sorted(list(set(data_list['study'])))
good_study_list = []
for study in study_list_data:
data_study = data_list[data_list['study'] == study]
if tl.inclusion_criteria(data_study, sig = sig):
good_study_list.append(study)
return good_study_list
data_lit = tl.get_QN_mean_var_data('data_literature.txt')
data_glenda = tl.get_QN_mean_var_data('data_Glenda.txt')
good_list_lit = get_good_study(data_lit, sig = False)
good_list_glenda = get_good_study(data_glenda)
def map_lit_partition(study):
tl.TL_analysis(data_lit, study)
def map_lit_composition(study):
tl.TL_analysis(data_lit, study, analysis = 'composition')
def map_glenda_partition(study):
tl.TL_analysis(data_glenda, study)
def map_glenda_composition(study):
tl.TL_analysis(data_glenda, study, analysis = 'composition')
