Hi All -
When running an NMS either in autopilot or with parameter setup with runs of real data >1, the output can give fewer dimensions than evaluated. For example:
Axes Minimum Mean Maximum Minimum Mean Maximum p n
---------------------------------------------------------------------------
1 23.383 34.532 45.681
2 11.984 12.882 13.781
3 7.235 7.961 8.687
---------------------------------------------------------------------------
p = proportion of randomized runs with stress < or = observed stress
i.e., p = (1 + n)/(1 + N)
n = no. permutations <= observed
N = no. permutations
Conclusion: a 2-dimensional solution is recommended.
In such a case, I might want to use the third axis if I think that the change in stress is still valuable, even if <5. I can do this for a single run of real data, but the stress and especially the per axis R2 of ordination and original distances can change quite a bit between runs (the reason for doing many and letting the algorithm choose).
Is there a way to get the third dimension or change the cutoff in change of stress?
The Help, for Ways to Run NMS, says:
4. Verify that you wish to use
the number of dimensions that
PC-ORD selected automatically in step 1. Beyond which additional dimensions
should provide only small reductions in stress.
But I don't see anything about what to do if you wish elsewise.
Thanks, and apologies if I am missing something obvious.
- George Malanson