def test_assuncao_rate(self):
e = np.array([30, 25, 25, 15, 33, 21, 30, 20])
b = np.array([100, 100, 110, 90, 100, 90, 110, 90])
exp_assuncao_geoda = np.array([ 0.95839273, -0.03783129, -0.51460896, -1.61105841])
np.testing.assert_array_almost_equal(
exp_assuncao_geoda, sm.assuncao_rate(e, b)[:4])
exp_assuncao = np.array([1.03843594, -0.04099089, -0.56250375, -1.73061861])
np.testing.assert_array_almost_equal(
exp_assuncao, sm.assuncao_rate(e, b, geoda=False)[:4])
def test_assuncao_rate(self):
e = np.array([30, 25, 25, 15, 33, 21, 30, 20])
b = np.array([100, 100, 110, 90, 100, 90, 110, 90])
exp_assuncao_geoda = np.array(
[0.95839273, -0.03783129, -0.51460896, -1.61105841])
np.testing.assert_array_almost_equal(exp_assuncao_geoda,
sm.assuncao_rate(e, b)[:4])
exp_assuncao = np.array(
[1.03843594, -0.04099089, -0.56250375, -1.73061861])
np.testing.assert_array_almost_equal(
exp_assuncao,
sm.assuncao_rate(e, b, geoda=False)[:4])
def test_assuncao_rate(self):
e = np.array([30, 25, 25, 15, 33, 21, 30, 20])
b = np.array([100, 100, 110, 90, 100, 90, 110, 90])
exp_assuncao = np.array([1.03843594, -0.04099089, -0.56250375,
-1.73061861])
np.testing.assert_array_almost_equal(
exp_assuncao, sm.assuncao_rate(e, b)[:4])
def test_assuncao_rate(self):
e = np.array([30, 25, 25, 15, 33, 21, 30, 20])
b = np.array([100, 100, 110, 90, 100, 90, 110, 90])
exp_assuncao = np.array(
[1.04319254, -0.04117865, -0.56539054, -1.73762547])
np.testing.assert_array_almost_equal(
exp_assuncao, sm.assuncao_rate(e, b)[:4])
def __init__(self, e, b, w, adjusted=True, transformation="r", permutations=PERMUTATIONS):
if adjusted:
y = assuncao_rate(e, b)
else:
y = e * 1.0 / b
Moran_Local.__init__(self, y, w,
transformation=transformation, permutations=permutations)
def test_assuncao_rate(self):
e = np.array([30, 25, 25, 15, 33, 21, 30, 20])
b = np.array([100, 100, 110, 90, 100, 90, 110, 90])
exp_assuncao = np.array(
[1.03843594, -0.04099089, -0.56250375, -1.73061861])
np.testing.assert_array_almost_equal(exp_assuncao,
sm.assuncao_rate(e, b)[:4])
def __init__(self, e, b, w, adjusted=True, transformation="r", permutations=PERMUTATIONS):
if adjusted:
y = assuncao_rate(e, b)
else:
y = e * 1.0 / b
Moran_Local.__init__(self, y, w,
transformation=transformation, permutations=permutations)
