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by Staff HadleyMyers
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Figure 3: Tablet manufacturing process flow map used as an example case study.
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Figure 5: Excel Import Wizard after dragging Excel file into open JMP window, showing default settings.
Figure 6: Individual Worksheet Settings in Excel Import Wizard after adjusting values to align data properly.
Figure 4: Top-left corner of log window, showing menu behind red hotspot with Clear Log indicated.
Figure 7: Top-left of the table with the Column Header graph button circled in blue.
Figure 8: Recode window, with Large and l values highlighted, and the Group button highlighted.
Figure 9: Recode window with the three groups for API-Particle Size defined.
Figure 10: Columns panel, showing that most columns are categorical, with the exceptions of Mill Time-hr and Screen Size.
Figure 12: Binning dialog window, with cut point value changed to 70 and value labels changed to Reject and Accept.
Figure 11: Binning dialog window, with all default cut points selected and the remove button (-) indicated by a blue circle.
Figure 13: Distribution dialog window, with column Accept/Reject in the Y, Columns box.
Figure 15: Left-most three histograms of the Distribution report, which indicate embedded histograms for rejected batches.
Figure 14: Distribution report for column Accept/Reject.
Figure 18: Bivariate Fit of Dissolution vs Mill time-hr, with a linear fit and accompanying details indicating that the effect is likely real.
Figure 17: Dissolution vs Mill time-hr for all three values of Screen Size, with Lines of Fit depicting positive correlations for Sizes 3 and 5, but no correlation for Size 4.
Figure 16: Dissolution vs Mill time-hr with a Line of Fit depicting a positive correlation between the variables.
Figure 19: Oneway Analysis of Dissolution vs Screen Size, with a means comparison done using Student’s t-test. The results suggest a significant negative effect of using Screen Size 5.
Figure 20: Column Contributions from the Partition for Dissolution report, showing the significance of the factors in descending order. Spray Rate is seen to be the last significant factor; everything below it is considered not to have any effect on Dissolution.
Figure 21: Fit Model dialog window, with columns of significant factors selected.
Figure 22: Actual by Predicted Plot for a full response surface model with eight main effects, capturing 88% of the variation in Dissolution (RSq = 0.88).
Figure 24: Effect Summary for a refined RSM model containing only effects with a p-value greater than 0.05.
Figure 23: Effects Summary for a full response surface model with eight main effects.
Figure 25: Prediction Profiler for our refined RSM model.
Figure 27: Formula Depot with the Fit Least Squares model for Dissolution (left), with automatically generated Python code (right).
Figure 26: Prediction Profiler with Desirability Functions enables on, with factors at optimum settings resulting in highest value of Dissolution, 86.5% (y-axis adjusted from default).
Figure 29: Script window with the Run button near the top of the window circled in blue.
Figure 28: Log window, showing the Action Recording options within the red triangle menu, with only Data Table Operations selected.
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Figure 8: Recode window, with Large and l values highlighted, and the Group button highlighted.
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Added ‎11-30-2021 07:52 AM
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Figure 8: Recode window, with Large and l values highlighted, and the Group button highlighted.
Posted in: The JMP Analytic Workflow: A step-by-step example of how to use it to solve problems and create value for your organization - ( ‎12-13-2021 10:31 AM )

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