def test_cohen_kappa_very_similar_obs_interval_state_3s(self):
pj = json.loads(open("files/test.boris").read())
ethogram = pj[config.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[config.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