Analysis of DOE Results: Difference between revisions
imported>Jeremy |
imported>Jeremy |
||
| Line 10: | Line 10: | ||
===Add Response (Y-Block) Data=== | ===Add Response (Y-Block) Data=== | ||
Once a DOE Dataset is loaded as an X-Block a button for creating a Response Y-Block | 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. | ||
[[Image:DOE_yblock_toolbar.png]] | [[Image:DOE_yblock_toolbar.png]] | ||
Revision as of 08:49, 4 November 2011
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.
Calculate Model
Once Response data has been entered calculate the MLR model.
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.
