After some more experimenting with R, and remembering that box plots exist (as I said, I am not a statistics guy), I put together the following graphs. They are boxplots of the frame time data for each of the runs on each of the graphs. For those of you not familiar, boxplots show the quartiles of the data, letting us see how the data is distributed. The lower line of the box represents the first quartile (25th percentile), the middle line is the median (50th percentile), and the top line is the third quartile (75th percentile). The two lines sticking out from the box are the whiskers, and show where the data outside of the first and third quartile fall, though the outliers are still shown as dots. These percentiles might not line up with those I was finding earlier in the data, but editing the boxplots to reach to the 1st and 99th does not look as good. (This also removes the outlier dots from the graph, and I think showing them outside the boxplot is valuable.) I should also mention that I did impose a limit on the y-axis of 50 ms, and that there were some runs that had outliers reaching past that, but allowing the graphs to stretch enough to show those points scales down the plots too much to be of any value. Also this ensures the vertical scale for all of the graphs is the same.