Exemplos de Rwrapper.label_to_sri em Python

Exemplo n.º 1

Arquivo: __init__.py Projeto: fonzbonz/ncanda-data-integration

    "casq_set2 [casq7]",
    "casq_set2 [casq8]",
    "casq_set2 [casq9]",
    "casq_set2 [casq10]",
    "casq_set2 [casq11]",
    "casq_set2 [casq12]",
    "casq_set3 [casq13]",
    "casq_set3 [casq14]",
    "casq_set3 [casq15]",
    "casq_set3 [casq16]",
]

# Dictionary to recover LimeSurvey field names from REDCap names
rc2lime = dict()
for field in lime_fields:
    rc2lime[Rwrapper.label_to_sri("youthreport2", field)] = field

# REDCap fields names
input_fields = {"mrireport": ["youth_report_2_complete", "youthreport2_missing"] + rc2lime.keys()}

#
# This determines the name of the form in REDCap where the results are posted.
#
output_form = "clinical"

#
# CES-D field names mapping from R to REDCap
#
R2rc = {"Cleveland Adolescent Sleepiness Score": "casq_score"}

#

Exemplo n.º 2

Arquivo: __init__.py Projeto: fonzthehuman/ncanda-data-integration

#

# LimeSurvey field names
lime_fields = [
    "casq_set1 [casq1]", "casq_set1 [casq2]", "casq_set1 [casq3]",
    "casq_set1 [casq4]", "casq_set1 [casq5]", "casq_set1 [casq6]",
    "casq_set2 [casq7]", "casq_set2 [casq8]", "casq_set2 [casq9]",
    "casq_set2 [casq10]", "casq_set2 [casq11]", "casq_set2 [casq12]",
    "casq_set3 [casq13]", "casq_set3 [casq14]", "casq_set3 [casq15]",
    "casq_set3 [casq16]"
]

# Dictionary to recover LimeSurvey field names from REDCap names
rc2lime = dict()
for field in lime_fields:
    rc2lime[Rwrapper.label_to_sri('youthreport2', field)] = field

# REDCap fields names
input_fields = {
    'mrireport':
    ['youth_report_2_complete', 'youthreport2_missing'] + rc2lime.keys()
}

#
# This determines the name of the form in REDCap where the results are posted.
#
output_form = 'clinical'

#
# CES-D field names mapping from R to REDCap
#

Exemplo n.º 3

Arquivo: __init__.py Projeto: kipohl/ncanda-data-integration

import Rwrapper

#
# Variables from surveys needed for CTQ
#

# LimeSurvey field names
lime_fields = [ "ctq_set1 [ctq1]", "ctq_set1 [ctq2]", "ctq_set1 [ctq3]", "ctq_set1 [ctq4]", "ctq_set1 [ctq5]", "ctq_set1 [ctq6]", "ctq_set1 [ctq7]", "ctq_set2 [ctq8]", "ctq_set2 [ctq9]", "ctq_set2 [ct10]", "ctq_set2 [ct11]",
                "ctq_set2 [ct12]", "ctq_set2 [ct13]", "ctq_set2 [ct14]", "ctq_set3 [ctq15]", "ctq_set3 [ctq16]", "ctq_set3 [ctq17]", "ctq_set3 [ctq18]", "ctq_set3 [ctq19]", "ctq_set3 [ctq20]", "ctq_set3 [ctq21]",
                "ctq_set4 [ctq22]", "ctq_set4 [ctq23]", "ctq_set4 [ctq24]", "ctq_set4 [ctq25]", "ctq_set4 [ctq26]", "ctq_set4 [ctq27]", "ctq_set4 [ctq28]" ]

# Dictionary to recover LimeSurvey field names from REDCap names
rc2lime = dict()
for field in lime_fields:
    rc2lime[Rwrapper.label_to_sri( 'youthreport2', field )] = field

# REDCap fields names
input_fields = { 'mrireport' : [ 'youth_report_2_complete',  'youthreport2_missing' ] + rc2lime.keys() }

#
# This determines the name of the form in REDCap where the results are posted.
#
output_form = 'clinical'

#
# CTQ field names mapping from R to REDCap
#
R2rc = { 'Emotional Abuse Scale Total Score' : 'ctq_ea', 
         'Physical Abuse Scale Total Score' : 'ctq_pa', 
         'Sexual Abuse Scale Total Score' : 'ctq_sa', 

Exemplo n.º 4

Arquivo: __init__.py Projeto: fonzthehuman/ncanda-data-integration

# LimeSurvey field names
lime_fields = [
    "cesd_sec1 [cesd1]", "cesd_sec1 [cesd2]", "cesd_sec1 [cesd3]",
    "cesd_sec1 [cesd4]", "cesd_sec1 [cesd5]", "cesd_sec1 [cesd6]",
    "cesd_sec2 [cesd7]", "cesd_sec2 [cesd8]", "cesd_sec2 [cesd9]",
    "cesd_sec2 [ces10]", "cesd_sec2 [ces11]", "cesd_sec2 [ces12]",
    "cesd_sec3 [ces13]", "cesd_sec3 [ces14]", "cesd_sec3 [ces15]",
    "cesd_sec3 [ces16]", "cesd_sec3 [ces17]", "cesd_sec3 [ces18]",
    "cesd_sec3 [ces19]", "cesd_sec3 [ces20]"
]

# Dictionary to recover LimeSurvey field names from REDCap names
rc2lime = dict()
for field in lime_fields:
    rc2lime[Rwrapper.label_to_sri('mrireport', field)] = field

# REDCap fields names
input_fields = {
    'mrireport': ['mri_report_complete', 'mrireport_missing'] + rc2lime.keys()
}

#
# This determines the name of the form in REDCap where the results are posted.
#
output_form = 'clinical'

#
# CES-D field names mapping from R to REDCap
#
R2rc = {'CES Symptomatology Score': 'cesd_score'}

Exemplo n.º 5

Arquivo: __init__.py Projeto: kipohl/ncanda-data-integration

import pandas

import Rwrapper

#
# Variables from surveys needed for CES-D
#

# LimeSurvey field names
lime_fields = [ "cesd_sec1 [cesd1]", "cesd_sec1 [cesd2]", "cesd_sec1 [cesd3]", "cesd_sec1 [cesd4]", "cesd_sec1 [cesd5]", "cesd_sec1 [cesd6]", "cesd_sec2 [cesd7]", "cesd_sec2 [cesd8]", "cesd_sec2 [cesd9]", "cesd_sec2 [ces10]",
                "cesd_sec2 [ces11]", "cesd_sec2 [ces12]", "cesd_sec3 [ces13]", "cesd_sec3 [ces14]", "cesd_sec3 [ces15]", "cesd_sec3 [ces16]", "cesd_sec3 [ces17]", "cesd_sec3 [ces18]", "cesd_sec3 [ces19]", "cesd_sec3 [ces20]" ]

# Dictionary to recover LimeSurvey field names from REDCap names
rc2lime = dict()
for field in lime_fields:
    rc2lime[Rwrapper.label_to_sri( 'mrireport', field )] = field

# REDCap fields names
input_fields = { 'mrireport' : [ 'mri_report_complete',  'mrireport_missing' ] + rc2lime.keys() }

#
# This determines the name of the form in REDCap where the results are posted.
#
output_form = 'clinical'

#
# CES-D field names mapping from R to REDCap
#
R2rc = { 'CES Symptomatology Score' : 'cesd_score' }

#