I had some feedback and the index is actually really good. The only problem is that the range is very narrow 0.5 to 0.53 and this is because we are dividing by 2*matrix.
This is the definition we were using prior:
dri_dpli = sum(BvR) / (w1*(sum(BvA)) + w2*(sum(RvA))) where w1 and w2 = 1
To fix the range problem we could go with something like this:
dri_dpli = 2*sum(BvR) - ( w1*sum(BvA) + w2*sum(RvA) )
This we are equilibrating the two side of the contrast, we still will have a high number if the similarity is higher in the BvR and a lower number if the similarity is 'similar' in each matrix irrespective of the anesthesia.
I had some feedback and the index is actually really good. The only problem is that the range is very narrow 0.5 to 0.53 and this is because we are dividing by
2*matrix
.This is the definition we were using prior:
dri_dpli = sum(BvR) / (w1*(sum(BvA)) + w2*(sum(RvA))) where w1 and w2 = 1
To fix the range problem we could go with something like this:dri_dpli = 2*sum(BvR) - ( w1*sum(BvA) + w2*sum(RvA) )
This we are equilibrating the two side of the contrast, we still will have a high number if the similarity is higher in the BvR and a lower number if the similarity is 'similar' in each matrix irrespective of the anesthesia.