Ok. So. I have a data set of 60 thousand values, distributed thus:
![gchesterton_2-1621133157772.png gchesterton_2-1621133157772.png](https://community.jmp.com/t5/image/serverpage/image-id/32870i13B2603A103139E0/image-size/medium?v=v2&px=400)
They are associated with 30 different aircraft types. I wanted to use ANOM to quickly see if any aircraft groups were significantly different than the overall mean. Since the overall population distribution of these values is skewed, I decided to apply ANOM with Transformed Ranks. The original data were all negative values, so without much thought I decided to flip them to positive values before conducting the ANOM:
![gchesterton_0-1621132025573.png gchesterton_0-1621132025573.png](https://community.jmp.com/t5/image/serverpage/image-id/32868i38D59B2DA5763ABD/image-size/medium?v=v2&px=400)
10 aircraft emerge from the LDL-UDL range.
Then I tried ANOM with TR with the original negative-valued data:
![gchesterton_1-1621132087663.png gchesterton_1-1621132087663.png](https://community.jmp.com/t5/image/serverpage/image-id/32869i8DC5FDD4519B041A/image-size/medium?v=v2&px=400)
I would have thought that the results would have been the same. Is there a simple explanation for why I wouldn't see the same results either way?