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| -rw-r--r-- | reversing_game_mechanics/splits_and_ejects/README | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/reversing_game_mechanics/splits_and_ejects/README b/reversing_game_mechanics/splits_and_ejects/README index 6e33969..d8a68e6 100644 --- a/reversing_game_mechanics/splits_and_ejects/README +++ b/reversing_game_mechanics/splits_and_ejects/README @@ -14,3 +14,37 @@ split cell eject/split distances: mean = 388.2279635920042, stddev=222.714651069 ejected mass eject/split distances: mean = 442.90229450857305, stddev=189.2221703217239, ndata=252 75% of the values lie in the interval 535.71 plusminus 8.61 +distances are measured between "spawn point of cell" and "end point of movement". +Spawnpoint is usually near "parentcell.midpoint + parentcell.size". + + + +Now if we measure distances between "midpoint of parent cell" and "end point of movement" by +applying the following patch: + +diff --git a/stats.py b/stats.py +index bb88c3e..1c0a196 100644 +--- a/stats.py ++++ b/stats.py +@@ -338,7 +338,7 @@ class Stats: + # print(str(n) + "\t" + str(x)) + + def analyze_distances(self, celltype): +- ds = [v[0] for v in self.data.eject_distlogs[celltype]] ++ ds = [v[1] for v in self.data.eject_distlogs[celltype]] + + try: + mean, stddev = fit_gaussian(ds) + +we get this: + +split cell eject/split distances: mean = 560.4528176561469, stddev=276.25260008531626, ndata=314 + 75% of the values lie in the interval 556.62 plusminus 322.76 + +ejected mass eject/split distances: mean = 767.2502438544719, stddev=168.80422060053823, ndata=252 + 75% of the values lie in the interval 732.30 plusminus 86.28 + + +As one can see, the "plusminus" values are much larger than above. So measuring between "spawnpoint" and +"endpoint" is more appropriate. + |