def __init__(self, data, alpha=0.05, linear=None, freundlich=None, langmuir=None):
# validate input
try:
val.validateData(data)
val.validateAlpha(alpha)
except val.InputError as ie:
print(ie)
return None
# intialize fitting with Linear isotherm
self.Linear = isotherm.Linear(data, userParams=linear, validateInput=False)
# test for linear model validity
if not self.Linear.modelValidity:
self.LinearFailCode()
return None
# test for statistical significance (Asymptotic Confidence Interval)
Kd = [self.Linear.isoModelResult.params.valuesdict()["Kd"]]
covar = self.Linear.isoModelResult.covar
confIntrvl = AAstats.RegConfAsym(data[0], Kd, covar, alpha)
if confIntrvl["lower"][0] <= 0:
self.LinearFailCode
return None
# fit the other isotherms
self.Freundlich = isotherm.Freundlich(data, userParams=freundlich, validateInput=False)
self.Langmuir = isotherm.Langmuir(data, userParams=langmuir, validateInput=False)
