This macro produces a correlation plot for evaluating the orthogonality of a designed experiment. Correlation plots are typically used for screening experiments, where some non-orthogonality of terms is needed to limit the number of runs, but can also be used for other designs. By default, the macro produces the correlation plot for the pairwise correlations for the main effects and the 2-way interactions. Optional subcommands are available to add the squared terms and to display the absolute values of the correlations. All input columns are standardized before the correlations are calculated.
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At least 2 columns of data that represent the factors from a designed experiment or that represent continuous predictor columns.
%CORRPLOT C5-C10
Click Run.
%CORRPLOT C5-C10;
SQUARES.
Click Run.