def testRelativeToJackknifeIncludeBaseline(self):
data = pd.DataFrame({"X": [1, 2, 3, 4, 5, 6, 7, 8, 9],
"Y": [0, 0, 0, 1, 1, 1, 2, 2, 2]})
metric = metrics.Sum("X")
comparison = comparisons.AbsoluteDifference("Y", 0, include_base=True)
se_method = standard_errors.Jackknife()
output = core.Analyze(data).relative_to(comparison).with_standard_errors(
se_method).calculate(metric).run()
rowindex = pd.Index([0, 1, 2], name="Y")
correct = pd.DataFrame(
np.array([[0.0, 0.0],
[9.0, np.sqrt(5 * np.var([12, 11, 10, 5, 4, 3]))],
[18.0, np.sqrt(5 * np.var([21, 20, 19, 11, 10, 9]))]]),
columns=("sum(X) Absolute Difference",
"sum(X) Absolute Difference Jackknife SE"),
index=rowindex)
self.assertTrue(output.equals(correct))
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