def test_chisquare(self):
"""
Check if it can calculate chi square when there are no attributes
which suppose to be.
"""
a = DiscreteVariable("a", values=("y", "n"))
b = DiscreteVariable("b", values=("y", "n", "o"))
table = Table.from_list(Domain([a, b]), list(zip("yynny", "ynyyn")))
chi = ChiSqStats(table, 0, 1)
self.assertFalse(isnan(chi.chisq))
def _attribute_changed(self):
self.tableview.set_selection(self.selection)
self.table = None
if self.data and self.rows and self.columns:
self.tableview.set_variables(self.rows, self.columns)
self.table = contingency_table(self.data, self.columns, self.rows)
self.tableview.update_table(self.table.X, formatstr="{:.0f}")
chi = ChiSqStats(self.data, self.rows, self.columns)
vardata1 = self.data.get_column_view(self.rows.name)[0]
vardata2 = self.data.get_column_view(self.columns.name)[0]
self.scores.setText(
"ARI: {:.3f}\nAMI: {:.3f}\nχ²={:.2f}, p={:.3f}".format(
adjusted_rand_score(vardata1, vardata2),
adjusted_mutual_info_score(vardata1, vardata2), chi.chisq,
chi.p))
else:
self.scores.setText("\n\n")
self._invalidate()
