If the results from each group of tests have a common identifier name then the join command is the easiest way to combine tests.
If the time between groups of results is big relative to the time between results then cluster analysis could be used on the date/time (you would need to stack all the results so they share a single date/time column).
If the data shows long term trends with time you can use fit Y-by-X on each date/time test pair. Fit a spline to each graph and then save the spline equation. The columns can be combined in a new data table and each formula pointed at a common date/time column.