Doeeffectsplot

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Revision as of 11:07, 12 September 2011 by imported>Scott (Created page with " ===Purpose=== Create main effect or interaction plot, incl LSD bars. ===Synopsis=== : doeeffectsplot(doe, y, icol, alpha) ===Description=== Main & Interaction Effects...")
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Purpose

Create main effect or interaction plot, incl LSD bars.


Synopsis

doeeffectsplot(doe, y, icol, alpha)


Description

Main & Interaction Effects plots which contain Fisher's Least Significant % Difference bars around the mean effect values.

Inputs

  • dat = Data table where columns are factors.


See Also

anova1w, ftest, statdemo

%DOEEFFECTSPLOT Create main effect or interaction plot, incl LSD bars. % 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 % % Example: % Use 'doegui' 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); % %I/O: doeeffectsplot(doe, y, icol, alpha) % %See also: DOEGEN, DOEGUI