resvals["olsbg"] = str(
SimpleTable([[group] + res.olsbygroup[group].params.tolist() for group in sorted(res.olsbygroup)])
)
resvals["grh"] = str(
SimpleTable(np.vstack([res.sigmabygroup, np.sqrt(res.sigmabygroup)]), headers=res.unique.tolist())
)
return templ % resvals
# get results for example
# -----------------------
print("\nTest for equality of coefficients for all exogenous variables")
print("-------------------------------------------------------------")
res = OneWayLS(y, x, groups=groupind.astype(int))
print_results(res)
print("\n\nOne way ANOVA, constant is the only regressor")
print("---------------------------------------------")
print("this is the same as scipy.stats.f_oneway")
res = OneWayLS(y, np.ones(len(y)), groups=groupind)
print_results(res)
print("\n\nOne way ANOVA, constant is the only regressor with het is true")
print("--------------------------------------------------------------")
print("this is the similar to scipy.stats.f_oneway,")
print("but variance is not assumed to be the same across groups")
SimpleTable([[group] + res.olsbygroup[group].params.tolist()
for group in sorted(res.olsbygroup)]))
resvals['grh'] = str(
SimpleTable(np.vstack([res.sigmabygroup,
np.sqrt(res.sigmabygroup)]),
headers=res.unique.tolist()))
return templ % resvals
#get results for example
#-----------------------
print('\nTest for equality of coefficients for all exogenous variables')
print('-------------------------------------------------------------')
res = OneWayLS(y, x, groups=groupind.astype(int))
print_results(res)
print('\n\nOne way ANOVA, constant is the only regressor')
print('---------------------------------------------')
print('this is the same as scipy.stats.f_oneway')
res = OneWayLS(y, np.ones(len(y)), groups=groupind)
print_results(res)
print('\n\nOne way ANOVA, constant is the only regressor with het is true')
print('--------------------------------------------------------------')
print('this is the similar to scipy.stats.f_oneway,')
print('but variance is not assumed to be the same across groups')
res = OneWayLS(y, np.ones(len(y)), groups=groupind.astype(str), het=True)
resvals["olsbg"] = str(
SimpleTable([[group] + res.olsbygroup[group].params.tolist() for group in sorted(res.olsbygroup)])
)
resvals["grh"] = str(
SimpleTable(np.vstack([res.sigmabygroup, np.sqrt(res.sigmabygroup)]), headers=res.unique.tolist())
)
return templ % resvals
# get results for example
# -----------------------
print "\nTest for equality of coefficients for all exogenous variables"
print "-------------------------------------------------------------"
res = OneWayLS(y, x, groups=groupind.astype(int))
print_results(res)
print "\n\nOne way ANOVA, constant is the only regressor"
print "---------------------------------------------"
print "this is the same as scipy.stats.f_oneway"
res = OneWayLS(y, np.ones(len(y)), groups=groupind)
print_results(res)
print "\n\nOne way ANOVA, constant is the only regressor with het is true"
print "--------------------------------------------------------------"
print "this is the similar to scipy.stats.f_oneway,"
print "but variance is not assumed to be the same across groups"
