def test_cohen_kappa_very_similar_obs_interval_state_3s(self):
pj = json.loads(open("files/test.boris").read())
ethogram = pj[ETHOGRAM]
selected_observations = ["observation #2", "observation #2 (copy)"]
selected_subjects = ["No focal subject", "subject1", "subject2"]
r, s, db = cursor = db_functions.load_aggregated_events_in_db(
pj, selected_subjects, selected_observations, ["s"])
cursor = db.cursor()
K, _ = irr.cohen_kappa(cursor,
obsid1=selected_observations[0],
obsid2=selected_observations[1],
interval=decimal.Decimal("3"),
selected_subjects=selected_subjects,
include_modifiers=False)
assert K == 1
def test_cohen_kappa_same_observation(self):
pj = json.loads(open("files/test.boris").read())
ethogram = pj[ETHOGRAM]
selected_observations = ["observation #1", "observation #1"]
selected_subjects = ["subject1", "subject2"]
r, s, db = cursor = db_functions.load_aggregated_events_in_db(
pj, selected_subjects, selected_observations, ["s", "p"])
assert r == True
cursor = db.cursor()
K, msg = irr.cohen_kappa(cursor,
obsid1=selected_observations[0],
obsid2=selected_observations[1],
interval=decimal.Decimal("1.0"),
selected_subjects=selected_subjects,
include_modifiers=False)
assert K == 1
if not ok:
print(cleanhtml(msg))
sys.exit()
cursor = db_connector.cursor()
interval = 1
if len(args.command) > 1:
interval = utilities.float2decimal(args.command[1])
include_modifiers = True
if len(args.command) > 2:
include_modifiers = "TRUE" in args.command[2].upper()
K, out = irr.cohen_kappa(cursor, observations_id_list[0],
observations_id_list[1], interval, subjects,
include_modifiers)
print(("Cohen's Kappa - Index of Inter-Rater Reliability\n\n"
"Interval time: {interval:.3f} s\n").format(interval=interval))
print(out)
sys.exit()
if "subtitles" in args.command:
if not observations_id_list:
print(
"No observation selected. Command applied on all observations found in project\n"
)
observations_id_list = all_observations(pj)