The principal components analysis biplot highlights the extent to which the objects represented by the rows differ in terms of the objects represented by the columns. When using the R version, Q will use whichever statistic is shown in the table. When using the option in the Maps dialogue, Q computes the analysis using whichever of the following statistics is available on the table (where multiple are available, the one that appears first is used): For example, if analyzing brand associations, the brands should be shown in the rows. The objects that are the focus of the analysis should be in the rows of the table. Any table that contains rows and columns, including contingency tables, grids (e.g., from a Pick Any – Grid question) and RAW DATA.
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