I would do that but the raw data is essentially uninterpretable. It is because we made a critical error and did what we thought would be our "worst case" postion in an essentially unridable position, so it tested much better than it should have. We went to the Velodrome the morning of the test to prove o ourselves that the positions we were testing were ridable. We had some issues with the "long crank" position and had to raise the bars and he eventually said, "I think I could ride this", so we left it there. As soon as we were in the tunnel it was clear this was not a good position. We did the testing on PowerCranks and it was clear he was having troubple getting is leg over the top, even though this was the first run of the day when he was fresh, and his is a guy who has been riding PowerCranks 40 miles per day for several years. At the end of the day, we repeated this test, and he could barely pedal the bike.
His handlebars should have been at least 2-4 inches higher than they were. As a result, over all of our runs that encompassed a change in seat to handlebar height of about 25 cm we saw no almost no change. And, the long crank, "high body" data gave us the lowest drag of the day. It was bizarre and it was like there was nothing we could do to change anything. The rider before us was able to see a drop in drag of about 150 gm with about a 1-2 cm drop in bar height and changing the way his helmet sat on his head. (And all the time his coach kept asking him how his power was) We never saw more than 100 gm change despite a 25 cm drop (and we did our testing at 30 mph, while this other guy was at 25 mph, as we were looking for higher speeds to try to uncover subtle differences). We were totally baffled until I finally put it together why we had this outlier and why all the changes when low resulted in almost no change. If we throw out the first data point, the lowest drag we got was at 142.5 crank length and the lowest stem position. But, it wasn't by much.
So, without context, the raw data is pretty useless and I think it will be better delivered after I give my analysis. If I can't explain the data then I don't have a clue. But, there was a lot of discussion going on as we were gathering this pretty bizarre data set and after a lot of reflection I think I can explain it. I think I have a much better understanding of what is going on now and how crank length affects the various parts of the aerodynamic drag/power puzzle. It was time and money well spent as far as I am concerned. Oh, and, of course, as a result of this new knowledge I now have some new questions I want to look at to see if it is possible to "solve" one finding I got wrong in my predictions.
Edit: I might add, I think my understanding can now explain the Cervelo data also, why one rider got worse, one rider got better, and two stayed about the same.
I am about ready to put it out. Probably tomorrow.