Ejemplo n.º 1
0
def test_signficance_of_relationship_lm(monkeypatch):
    monkeypatch.setattr(Processor,
                        'dimension_value_frame',
                        mock_dim_value_frame)

    mock_data = mock_dim_value_frame(None, None, None)
    exp_arr_1 = mock_data['dimension_as_num']
    exp_arr_2 = mock_data['value']
    exp = linregress(exp_arr_1, exp_arr_2)[3]

    p = Processor()
    a = Analyzer(processor=p)
    p_val = a.significance_of_relationship('D1', 'Q1', 'linearmodel')
    assert p_val == exp
Ejemplo n.º 2
0
def test_signficance_of_relationship(monkeypatch):
    monkeypatch.setattr(Processor,
                        'dimension_value_frame',
                        mock_dim_value_frame)

    mock_data = mock_dim_value_frame(None, None, None)
    exp_arr_1 = mock_data.ix[mock_data.dimension == 'D1', 'value']
    exp_arr_2 = mock_data.ix[mock_data.dimension == 'D2', 'value']
    exp = kruskalwallis(exp_arr_1, exp_arr_2)[1]

    p = Processor()
    a = Analyzer(processor=p)
    p_val = a.significance_of_relationship('D1', 'Q1', 'kruskalwallis')
    assert p_val == exp