Gage Repeatability & Reproducibility Results

Gage Repeatability and Reproducibility

Specify variables and codes via the Repeatability & Reproducibility Analysis - Analyze data file tab or specify variables and the number of operators, parts, and trials via the Repeatability & Reproducibility Analysis - Analyze R & R data sheet tab and click the OK button on the Repeatability & Reproducibility Analysis dialog to display the Gage Repeatability & Reproducibility Results dialog box, which contains five tabs: Quick, Advanced, Descriptives/plots, Gage performance, and Options.

R & R plot
Click the R & R plot button to display the standard plot to summarize the results of a repeatability and reproducibility study with multiple trials. This plot is discussed in detail in the Introductory Overview. To review, each point in this plot represents the deviation of the respective measurement from the average rating of the respective part (across trials and operators). Multiple trials (measurements) are connected by a vertical line. The dashed line within each box represents the average deviation of the respective operator from the average ratings by all operators. Thus, this plot enables you to simultaneously visualize the bias of each operator when rating the parts, the variability within each operator (height of the box), and the variability across trials for each part and operator (the length of the vertical lines). Put another way, if there were perfect reproducibility, the dashed lines for all operators would be at exactly the same level (at zero). If there is perfect repeatability, all repeated trials will yield identical results; thus all vertical lines will be of "zero height," that is, only points will be visible in the plot.
Cancel
Click the Cancel button to return to the Repeatability & Reproducibility Analysis dialog box.
Options
Click the Options button to display the Options menu.
By Group
 Click the By Group button to display the By Group specification dialog box.

See also the Variance Components and Mixed Model ANOVA/ANCOVA, Experimental Design (DOE), and General Linear Model (GLM) modules.