Abstract
GAMMA-GUI APP: A FRIENDLY GRAPHICAL USER INTERFACE FOR THE MULTIVARIATE DESIGN OF EXPERIMENTS IN MATLAB. We present to users unfamiliar with the programming language a user-friendly interface for the multivariate design of experiments (DoE) in Matlab®. The interface of the GAMMA app - Grupo de Análise Multivariada em Matrizes Alimentares, in Portuguese-BR, is available for free download on GitHub https://github.com/appGAMMA, and has a YouTube channel https://www.youtube.com/@appGAMMA with a series of tutorial videos. In this tutorial, some practical demonstrations are made using the DoE interface with real applications: (i) screening design for variable selection; (ii) optimization by Box-Behnken design; (iii) optimization by central composite design; (iv) factorial design for variable selection following by optimization with Doehlert design; (v) optimization by mixture design; (vi) optimization by mixture design with pseudocomponents; (vii) optimization by mixture design with process variable; and (viii) multiple-response optimization; also reproduced in the software Statistica v.13, StatSoft® for comparison. The GAMMA-GUI is constantly developing; suggestions for improvements or new ideas are welcome and can be directed to the developers.
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