GRR#
- class mqr.msa.GRR(data: DataFrame, tolerance: float, names: NameMapping = None, include_interaction=True, include_intercept=True, nsigma=6)#
A Gauge Repeatability and Reliability study.
Constructs a model and calls statsmodels.formula.api.ols.
- Attributes:
- datapd.DataFrame
Experiment runs and measurements, including columns for measurement, part, operator and replicate. See NameMapping for how to name these columns.
- tolerancenp.float64
Width of the tolerance of the process in the same units as the measurements.
- namesNameMapping
A name mapping that defines how custom names translate to the standard names used in this library. See mqr.msa.NameMapping.
- include_interactionbool
When True, include terms in the ANOVA for the interaction between operator and part.
- include_interceptbool
When True, include terms in the ANOVA for the intercept.
- nsigmaint
Target capability of the process.
- formulastr, automatic
Formula passed to statsmodels for regression.
- countstuple[int], automatic
Number of measurements, and number of unique levels in categorical variables part, operator and replicate.
- modelautomatic
Linear model for OLS.
- regression_resultstatsmodels.regression.linear_model.RegressionResultsWrapper, automatic
Result of calling fit() on the model.