Test ancovan with new version of patsy

raphaelvallat · Nov 16, 2018 · b484842 · b484842
1 parent 454ea0c
commit b484842
Showing 1 changed file with 16 additions and 16 deletions.
diff --git a/pingouin/tests/test_parametric.py b/pingouin/tests/test_parametric.py
@@ -3,7 +3,7 @@
 
 from pingouin.tests._tests_pingouin import _TestPingouin
 from pingouin.parametric import (ttest, anova, anova2, rm_anova, mixed_anova,
-                                 rm_anova2, ancova, welch_anova)
+                                 rm_anova2, ancova, welch_anova, ancovan)
 from pingouin.datasets import read_dataset
 
 # Generate random data for ANOVA
@@ -119,18 +119,18 @@ def test_ancova(self):
                          between='Method', export_filename='test_export.csv',
                          return_bw=True)
         ancova(data=df, dv='Scores', covar=['Income'], between='Method')
-        # ancova(data=df, dv='Scores', covar=['Income', 'BMI'],
-        #        between='Method')
-
-    # def test_ancovan(self):
-    #     """Test function ancovan."""
-    #     df = read_dataset('ancova')
-    #     aov = ancovan(data=df, dv='Scores', covar=['Income', 'BMI'],
-    #                   between='Method')
-    #     # Compare with statsmodels
-    #     assert np.allclose(aov.loc[0, 'F'], 3.233)
-    #     assert np.allclose(aov.loc[1, 'F'], 27.637)
-    #     ancovan(data=df, dv='Scores', covar=['Income', 'BMI'],
-    #             between='Method', export_filename='test_export.csv')
-    #     ancovan(data=df, dv='Scores', covar=['Income'], between='Method')
-    #     ancovan(data=df, dv='Scores', covar='Income', between='Method')
+        ancova(data=df, dv='Scores', covar=['Income', 'BMI'],
+               between='Method')
+
+    def test_ancovan(self):
+        """Test function ancovan."""
+        df = read_dataset('ancova')
+        aov = ancovan(data=df, dv='Scores', covar=['Income', 'BMI'],
+                      between='Method')
+        # Compare with statsmodels
+        assert np.allclose(aov.loc[0, 'F'], 3.233)
+        assert np.allclose(aov.loc[1, 'F'], 27.637)
+        ancovan(data=df, dv='Scores', covar=['Income', 'BMI'],
+                between='Method', export_filename='test_export.csv')
+        ancovan(data=df, dv='Scores', covar=['Income'], between='Method')
+        ancovan(data=df, dv='Scores', covar='Income', between='Method')