Multiple Interval-Scaled Observations per Subject
If we have multiple numerical observations per subject, there are two major ways to make them available in a one-row-per-analysis subject. We can either transpose each value per subject into a separate column, or we can aggregate the multiple observations and condense the inherent information into some descriptive values. The pure transposition of values is needed for some analyses such as a repeated measurement analysis of variance.
For many data mining analyses, however, ...