add test to ensure ACCLAB/dabestr#48 is fixed

Author: josesho

dabest/tests/test_99_confint.py

@@ -0,0 +1,38 @@
+def test_paired_mean_diff_ci():    
+    # See Altman et al., Statistics with Confidence: 
+    # Confidence Intervals and Statistical Guidelines (Second Edition). Wiley, 2000.
+    # Pg 31.
+    # Added in v0.2.5.
+    blood_pressure = {"before": [148, 142, 136, 134, 138, 140, 132, 144,
+                                128, 170, 162, 150, 138, 154, 126, 116],
+                      "after" : [152, 152, 134, 148, 144, 136, 144, 150, 
+                                146, 174, 162, 162, 146, 156, 132, 126],
+                     "subject_id" : np.arange(1, 17)}
+    exercise_bp = pd.DataFrame(blood_pressure)
+
+
+    ex_bp = load(data=exercise_bp, idx=("before", "after"), 
+                 paired=True, id_col="subject_id")
+    paired_mean_diff = ex_bp.mean_diff.results
+    
+    assert pytest.approx(3.625) == paired_mean_diff.bca_low[0]
+    assert pytest.approx(9.125) == paired_mean_diff.bca_high[0]
+
+
+# def test_paired_median_diff_ci():    
+#     # See Altman et al., Statistics with Confidence: 
+#     # Confidence Intervals and Statistical Guidelines (Second Edition). Wiley, 2000.
+#     # Pg 31.
+#     endorphin = {"before": [10.6, 5.2, 8.4, 9.0, 6.6, 4.6,
+#                             14.1, 5.2, 4.4, 17.4, 7.2],
+#                   "after" : [14.6, 15.6, 20.2, 20.9, 24.0,
+#                             25.0, 35.2, 30.2, 30.0, 46.2, 37.0],
+#                  "subject_id" : np.arange(1, 12)}
+#     marathon = pd.DataFrame(endorphin)
+# 
+# 
+#     endorphin_marathon = load(data=marathon, idx=("before", "after"), 
+#                                paired=True, id_col="subject_id")
+#     paired_median_diff = endorphin_marathon.median_diff.results
+# 
+#     assert pytest.approx(10.4) == paired_median_diff.bca_low[0]