fd23

2^3 Factorial Design Analysis.

Description

This m-file is used in experiments involving several factors where it is necessary to investigate the joint effects (main and interactions) of the factors on a response variable and determine by a formal analysis of variance which factor effects are nonzero. Each of the three factors (k = 3) of interest has only two levels. Because each of the replicate of such an experimental design has exactly 2^3 (=8) experimental trials or runs. As in the 2^2 experimental design, it is a basic block used to create other more complicated experimental designs.

Inputs:
     D - matrix data (=[X Y]) (last column must be the Y-dependent variable).
         (X-independent variable entry for the 2^3 factorial design).
 alpha - significance-value (default = 0.05).

Outputs:
     A complete analysis of variance is summarized on a table.
     [NOTE: If none of the variables on the model has a significant effect, should appers this note and does not proceed with the analysis of variance.]

• MATLAB release: MATLAB 7 (R14)

[M. Tetouan]

This is already implemented in MATLAB:
>> help anovan

[R. M.]

I am a Quality Control Engineer and appreciate to the authors the development of this function. Statistics fundamentals are exposed in a didactic and simple way.