Full Factorial Design Matrix. The design matrix has n rows where n number of observations and several blocks of columns corresponding to the terms in the model. If the generator is a four letter word the design is Resolution IV.
DFF fullfact levels gives factor settings dFF for a full factorial design with n factors where the number of levels for each factor is given by the vector levels of length n. The simplest factorial design involves two factors each at two levels. The columns of this matrix called X represent the terms in the model.
Assessing the tradeoff between budget and the information gained in a full factorial design is.
This design is very useful but requires a large number of test points as the levels of a factor or the number of factors increase. Genfactorialc323 3 centerTRUE varNamescF1 F2 F3 The center option makes the level settings symmetric which is a common way of representing the design. The resulting regression report is shown. The DOE study is first started by setting up an experiment with a specific number if runs with one of more factors inputs with each given two or more levels or settings.
