Doeeffectsplot: Difference between revisions
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imported>Jeremy No edit summary |
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===Synopsis=== | ===Synopsis=== | ||
: doeeffectsplot(doe, y, icol, alpha) | : doeeffectsplot(doe, y, icol, alpha) | ||
: doeeffectsplot(doe, y, icol, alpha, options) | |||
===Description=== | ===Description=== | ||
Main & Interaction Effects plots which contain Fisher's Least Significant Difference bars around the mean effect values. | Main & Interaction Effects plots which contain Fisher's Least Significant Difference bars around the mean effect values. | ||
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*'''alpha''' = 0.05 for two-sided critical region. | *'''alpha''' = 0.05 for two-sided critical region. | ||
*'''y''' = experimentally measured response values | *'''y''' = experimentally measured response values | ||
====Optional Inputs==== | |||
*'''options''' = structure array with the following fields: | |||
**'''display''': [ 'off' | {'on'} ] governs level of display to command window. | |||
===Example=== | ===Example=== | ||
Use [[doegui]] or [[doegen]] to create a doe object, for example with 3 factors (with 2 or more levels) and including 2 term interactions. Then run the following to set up: | Use [[doegui]] or [[doegen]] to create a doe object, for example with 3 factors (with 2 or more levels) and including 2 term interactions. Then run the following to set up: |
Revision as of 13:07, 22 February 2013
Purpose
Create main effect or interaction plot, incl LSD bars.
Synopsis
- doeeffectsplot(doe, y, icol, alpha)
- doeeffectsplot(doe, y, icol, alpha, options)
Description
Main & Interaction Effects plots which contain Fisher's Least Significant Difference bars around the mean effect values.
Inputs
- doe = DOE dataset object.
- icol = user selected doe column index. DOE columns are arranged as factors first, then interactions.
- For example: F1, F2, F3, F1xF2, F1xF3, F2xF3
- alpha = 0.05 for two-sided critical region.
- y = experimentally measured response values
Optional Inputs
- options = structure array with the following fields:
- display: [ 'off' | {'on'} ] governs level of display to command window.
Example
Use doegui or doegen to create a doe object, for example with 3 factors (with 2 or more levels) and including 2 term interactions. Then run the following to set up:
icol=1; alpha = 0.05; y = rand(size(doe,1),1); % create y, some expt result values [doe.data(:,icol) y] % view Factor 1 and y values %Add the following to make significant difference between F1 groups y = y + doe.data(:,icol); doeeffectsplot(doe, y, icol, alpha)