Halfak added a comment. |
I think we need a plot of this data.
I'd also suggested using the geometric mean for looking at time-to-revert. E.g. geometric_mean = function(x){ exp(mean(log(x))) }
In python, I'd do:
>>> from statistics import mean >>> from math import log, exp >>> >>> def geo_mean(x): ... return exp(mean(log(x_val) for x_val in x)) ... >>> >>> mean([1,2,3,4,5,6]) 3.5 >>> geo_mean([1,2,3,4,5,6]) 2.993795165523909 >>> mean([1, 100, 2, 3, 76, 88]) 45 >>> geo_mean([1, 100, 2, 3, 76, 88]) 12.605921135923992
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