def make_table_row(self):
return self.textTable.make_table_row(self.testStat,
self.testPValue,
self.testReliability,
DisplacementTestType.get_string(self.testType),
DisplacementTestType.get_dim(self.testType),
self.testPassed and "passed" or "failed")
def _compute_pvalue(self, point):
'computes p-value for dimension dim and test self.apriori=True/False'
if self.apriori:
from scipy.stats import chi2
point.testPValue = float(chi2.cdf(point.testStat,
DisplacementTestType.get_dim(point.testType)))
#print point.testStat
#print point.id, ": test:",\
#DisplacementTestType.get_string(point.testType), ": dim:",\
#DisplacementTestType.get_dim(point.testType)
else: # aposteriori
point.testPValue = 1 # not implemented
def get_test_dim(self):
return DisplacementTestType.get_dim(self.testType)
