You can use the %hongrr macro to perform an Honest Gauge R&R Study on the data from the ABC Company from Example A.3:
%hongrr(ABC, condition=Operator, value=Trial);
The results are shown in Output A.4.1.
Output A.4.1: Honest Gauge R&R Results
| Honest Gauge R&R Study for ABC |
| Honest Gauge RR Analysis Table | |
|---|---|
| Upper-Range Limit Check | Not Exceeded |
| Number of Samples | 10 |
| Number of Nuisance Component Levels | 3 |
| Number of Replications | 2 |
| Estimated PE Variance | 0.001154 |
| Estimated O Variance | 0.001142 |
| Estimated E Variance | 0.002296 |
| Estimated P Variance | 0.031838 |
| Estimated X Variance | 0.034134 |
| Repeatability Proportion of Variation | 0.033810 |
| Reproducibility Proportion of Variation | 0.033465 |
| Combined RR Proportion of Variation | 0.067275 |
| Probable Error | 0.022931 |
| Intraclass Correlation | 0.9327 |
| System Classification | First Class |
| Measurement Increment | 0.01 |
| Measurement Increment Action | Correct number of digits |
See Wheeler (2006) for a description of the Honest Gauge R&R Study and instructions for interpreting its results.