Stat-Ease Design Expert v7.0.0 (SaMeep104)
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Peers Updated17 hours ago (2026-03-24 23:38:19)
Description
What's New—The Highlights
Pareto chart of t-values of effects: Quickly see the vital few effects relative to the trivial many from two-level factorial experiments.
New “Color By” option: Color-code points on graphs according to the level of another factor—a great way to incorporate another piece of information into a graph.
Right-click on any response cell and “ignore” it: This feature allows you to ignore a response data point without having to ignore the entire row.
“Screen tips”: Press the new tips button for enlightenment on the current screen—this is especially helpful for novice users.
3D surface plots for categorical factors: See colored bars towering above others where effects are greatest.
“Min Run Res IV” (two-level factorial) designs for 5 to 50 factors: Screen main effects with maximum efficiency in terms of experimental runs.
“Min-Run Res V” designs for 6 to 31 factors: Resolve two-factor interactions (2FI's) in the least runs possible while maintaining a balance in low versus high levels.
Two-level fractional factorials for up to 512 runs and 21 factors: Build bigger designs than ever-before possible.
On plots of effects simply draw a box around the ones you want selected for your model: This is much easier than clicking each one with your mouse.
Central composite designs (CCD’s) are now available for up to 30 factors and 8 blocks: This represents a significant expansion in RSM capability.
CCD’s are available that are based on the Min-Run Res V fractional-factorial core: Take advantage of a much more efficient design for larger numbers of factors.
Box-Behnken designs are expanded up to 21 factors: This popular RSM design previously was limited to certain numbers of factors, but that is no longer the case.
Crosshairs window: Predict your response at any place in the response surface plot.
Full-color contour and 3D surface plots: Graduated or banded colorization adds life to reports and presentations.
Magnification feature: An incredible tool for expanding a mixture graph that is originally a small sliver and difficult to interpret.
Mixture-in-mixture designs: Develop sophisticated experiments for immiscible liquids or multilayer films involving separate formulations that may interact.
Add blocks D-optimally: This feature will be especially useful for mixture designs, which previously could not be blocked automatically.
Mixture design builder recognizes inverted simplexes and constrained regions that benefit by being inverted: This provides dramatic advantages in the power for estimating model terms.
Points on 3D graphs: See "lollipops" protruding from surfaces where actual responses were collected.
Row(s) in the design layout are highlighted when point(s) are selected on the diagnostics: The highlighting feature makes identification of problematic data much easier.
Numerical optimization solutions are now carried over to graphical optimization and point prediction: Explore the results of the numerical optimization on other screens.
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Sharing is Caring
------------------------------------------------------------------------------------------------------
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Questions and Feedback are WELCOME
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
If you like the upload, take a second to say 'Thanks'
------------------------------------------------------------------------------------------------------
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Pareto chart of t-values of effects: Quickly see the vital few effects relative to the trivial many from two-level factorial experiments.
New “Color By” option: Color-code points on graphs according to the level of another factor—a great way to incorporate another piece of information into a graph.
Right-click on any response cell and “ignore” it: This feature allows you to ignore a response data point without having to ignore the entire row.
“Screen tips”: Press the new tips button for enlightenment on the current screen—this is especially helpful for novice users.
3D surface plots for categorical factors: See colored bars towering above others where effects are greatest.
“Min Run Res IV” (two-level factorial) designs for 5 to 50 factors: Screen main effects with maximum efficiency in terms of experimental runs.
“Min-Run Res V” designs for 6 to 31 factors: Resolve two-factor interactions (2FI's) in the least runs possible while maintaining a balance in low versus high levels.
Two-level fractional factorials for up to 512 runs and 21 factors: Build bigger designs than ever-before possible.
On plots of effects simply draw a box around the ones you want selected for your model: This is much easier than clicking each one with your mouse.
Central composite designs (CCD’s) are now available for up to 30 factors and 8 blocks: This represents a significant expansion in RSM capability.
CCD’s are available that are based on the Min-Run Res V fractional-factorial core: Take advantage of a much more efficient design for larger numbers of factors.
Box-Behnken designs are expanded up to 21 factors: This popular RSM design previously was limited to certain numbers of factors, but that is no longer the case.
Crosshairs window: Predict your response at any place in the response surface plot.
Full-color contour and 3D surface plots: Graduated or banded colorization adds life to reports and presentations.
Magnification feature: An incredible tool for expanding a mixture graph that is originally a small sliver and difficult to interpret.
Mixture-in-mixture designs: Develop sophisticated experiments for immiscible liquids or multilayer films involving separate formulations that may interact.
Add blocks D-optimally: This feature will be especially useful for mixture designs, which previously could not be blocked automatically.
Mixture design builder recognizes inverted simplexes and constrained regions that benefit by being inverted: This provides dramatic advantages in the power for estimating model terms.
Points on 3D graphs: See "lollipops" protruding from surfaces where actual responses were collected.
Row(s) in the design layout are highlighted when point(s) are selected on the diagnostics: The highlighting feature makes identification of problematic data much easier.
Numerical optimization solutions are now carried over to graphical optimization and point prediction: Explore the results of the numerical optimization on other screens.
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
Sharing is Caring
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
Questions and Feedback are WELCOME
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
If you like the upload, take a second to say 'Thanks'
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------