Analysis of DOE Results

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Revision as of 08:53, 4 November 2011 by imported>Jeremy (moved Analysis of doe resluts to Analysis of DOE Results: misspelled title)
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Analyzing Design or Experiments with MLR.

Create Design

Create and save your DOE Dataset using the Experiment Designer or doegen function. You can also create a run sheet for your results from Experiment Designer or the command line doerunsheet function.

Load DOE into MLR

The DOE Dataset can be loaded into the Analysis window for MLR analysis directly from Experiment Designer using the toolbar button, or you can manually load it from another location such as the base workspace or a file. When a DOE DataSet is loaded inot Analysis and MLR is selected as the analysis method, several toolbar buttons specific to DOE will become visible (but not necessarily enabled).

Add Response (Y-Block) Data

Once a DOE Dataset is loaded as an X-Block, a button for creating a Response Y-Block DataSet will be enabled. Clicking the button will create a Y-Block DataSet of the correct size (but with all NaN values) and open it in the DataSet Editor (DSE). The actual response values can be entered via the DSE Data tab.

DOE yblock toolbar.png

Calculate Model

Once Response data has been entered, calculate the MLR model by clicking on the gears.

By default, all DOE factors (columns of the X-Block) are included in the analysis. Individual factors can be removed from the analysis by editing the X-Block (double-click the "X" in the Analysis window to open the DataSet in the DSE) and un-checking the factors "Include" flags as indicated in the "Column Labels" tab of the DSE.

Review Results

After a model is created, the toolbar will be updated with DOE specific buttons for exploring results.

  • View ANOVA Table.
  • Open Half-Norm plot.
  • Open DOE Effects Plot.

DOE Toolbar.png