Resumo
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.
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail

















