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feat: p-value calculation added to fit functions and fit result object

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Fabian Joswig 2022-01-10 15:00:47 +01:00
parent 88572c06a8
commit 5b831ec250
1 changed files with 5 additions and 0 deletions
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pyerrors/fits.py
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@ -7,6 +7,7 @@ import scipy.stats
import matplotlib.pyplot as plt
from matplotlib import gridspec
from scipy.odr import ODR, Model, RealData
from scipy.stats import chi2
import iminuit
from autograd import jacobian
from autograd import elementwise_grad as egrad
@ -45,6 +46,8 @@ class Fit_result(Sequence):
my_str += 'residual variance = ' + f'{self.residual_variance:2.6f}' + '\n'
if hasattr(self, 'chisquare_by_expected_chisquare'):
my_str += '\u03C7\u00b2/\u03C7\u00b2exp = ' + f'{self.chisquare_by_expected_chisquare:2.6f}' + '\n'
if hasattr(self, 'p_value'):
my_str += 'p-value = ' + f'{self.p_value:2.4f}' + '\n'
my_str += 'Fit parameters:\n'
for i_par, par in enumerate(self.fit_parameters):
my_str += str(i_par) + '\t' + ' ' * int(par >= 0) + str(par).rjust(int(par < 0.0)) + '\n'
@ -306,6 +309,7 @@ def total_least_squares(x, y, func, silent=False, **kwargs):
output.odr_chisquare = odr_chisquare(np.concatenate((out.beta, out.xplus.ravel())))
output.dof = x.shape[-1] - n_parms
output.p_value = 1 - chi2.cdf(output.odr_chisquare, output.dof)
return output
@ -619,6 +623,7 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
output.chisquare = chisqfunc(fit_result.x)
output.dof = x.shape[-1] - n_parms
output.p_value = 1 - chi2.cdf(output.chisquare, output.dof)
if kwargs.get('resplot') is True:
residual_plot(x, y, func, result)