Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix counts for mr x mr augmented matrix #212

Merged
merged 1 commit into from
Jul 10, 2020
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 8 additions & 5 deletions src/cr/cube/matrix.py
Original file line number Diff line number Diff line change
Expand Up @@ -268,20 +268,23 @@ def factory(cls, cube, dimensions, slice_idx):
base_counts,
counts_with_missings,
)

# These are apparent dimensions which hide 'selections' dims behind 'MR'
dimensions = cube.dimensions[:-1]
counts = np.sum(counts[:, :, :, 0], axis=3)
base_counts = np.sum(base_counts[:, :, :, 0], axis=3)
counts_with_missings = np.sum(counts_with_missings[:, :, :, 0], axis=3)
if cube.dimension_types[0] == DT.MR:
counts = np.sum(counts[:, :, :, :, 0], axis=4)
base_counts = np.sum(base_counts[:, :, :, :, 0], axis=4)
counts_with_missings = np.sum(
counts_with_missings[:, :, :, :, 0], axis=4
)
return _MrXMrMatrix(
dimensions,
counts,
base_counts,
counts_with_missings,
overlap_tstats,
)
counts = np.sum(counts[:, :, :, 0], axis=3)
base_counts = np.sum(base_counts[:, :, :, 0], axis=3)
counts_with_missings = np.sum(counts_with_missings[:, :, :, 0], axis=3)
return _CatXMrMatrix(
dimensions, counts, base_counts, counts_with_missings, overlap_tstats
)
Expand Down
10 changes: 5 additions & 5 deletions tests/integration/test_multiple_response.py
Original file line number Diff line number Diff line change
Expand Up @@ -896,11 +896,11 @@ def test_mr_x_num_with_means_pruned():
def test_mr_x_mr_itself_zscore():
slice_ = Cube(CR.MR_X_MR_ITSELF).partitions[0]
expected = [
[-2.09809816e-01, -2.47663660e-01, 0.00000000e00],
[2.79428953e-01, 1.54988917e-01, 0.00000000e00],
[-2.15682422e-01, -6.37644486e-02, -3.01876861e-15],
[3.68523425e-01, 5.62052405e-01, 7.96003449e-15],
[-1.87152853e-01, -3.78529911e-01, 0.00000000e00],
[2.02358771, 4.40571894, -4.73781476],
[1.6374635, 2.98524415, -2.88925509],
[1.40611428, -0.26969232, -1.03556062],
[1.67279974, -0.46401375, 0.06965056],
[-3.37595335, -1.34855138, 3.10157807],
]

np.testing.assert_almost_equal(slice_.zscore, expected)
Expand Down
10 changes: 5 additions & 5 deletions tests/integration/test_pairwise_significance.py
Original file line number Diff line number Diff line change
Expand Up @@ -593,10 +593,10 @@ def test_mr_x_mr_itself_pairwise_compare_columns(self):
np.testing.assert_array_almost_equal(
actual.p_vals,
[
[3.00272449e-01, 1, 3.60013917e-01],
[3.03167992e-01, 1, 1.52766688e-13],
[5.63934548e-01, 1, 0.00000000e00],
[7.32894024e-01, 1, 0.00000000e00],
[3.68215623e-02, 1, 0.00000000e00],
[3.00368306e-01, 1.00000000e00, 3.60015180e-01],
[3.03263297e-01, 1.00000000e00, 1.53432822e-13],
[5.63984270e-01, 1.00000000e00, 0.00000000e00],
[7.32921470e-01, 1.00000000e00, 0.00000000e00],
[3.69178553e-02, 1.00000000e00, 0.00000000e00],
],
)