def duncan_test(table, group_by=None, **params):
check_required_parameters(_duncan_test, params, ['table'])
params = get_default_from_parameters_if_required(params, _duncan_test)
param_validation_check = [from_under(params, 0.001, 0.9, 'alpha')]
validate(*param_validation_check)
if group_by is not None:
return _function_by_group(_duncan_test, table, group_by=group_by, **params)
else:
return _duncan_test(table, **params)
def autocorrelation(table, group_by=None, **params):
check_required_parameters(_autocorrelation, params, ['table'])
params = get_default_from_parameters_if_required(params, _autocorrelation)
param_validation_check = [greater_than_or_equal_to(params, 1, 'nlags'),
from_under(params, 0.0, 1.0, 'conf_level')]
validate(*param_validation_check)
if group_by is not None:
grouped_model = _function_by_group(_autocorrelation, table, group_by=group_by, **params)
return grouped_model
else:
return _autocorrelation(table, **params)
def timeseries_decomposition(table, group_by=None, **params):
len_table = len(table)
check_required_parameters(_timeseries_decomposition, params, ['table'])
params = get_default_from_parameters_if_required(
params, _timeseries_decomposition)
param_validation_check = [
from_under(params, 1, len_table, 'frequency'),
greater_than_or_equal_to(params, 0, 'extrapolate_trend')
]
validate(*param_validation_check)
if group_by is not None:
return _function_by_group(_timeseries_decomposition,
table,
group_by=group_by,
**params)
else:
return _timeseries_decomposition(table, **params)