rdmfun transpose redundancy in rsanoiseceiling.m/py?

[jacob-prince]

the default rdmfun behavior is to transpose a (voxel x condition) data matrix and then apply the pdist function to achieve a (condition x condition) RDM. however, in each monte carlo simulation, the signal and measurement variables already come in (condition x voxel) format, requiring each matrix to be transposed when passed to rdmfun() only to be re-transposed immediately afterward via rdmfun().

is there a reason for this double-transpose? if not, for clarity, we should consider removing both by modifying the line which sets the default rdmfun() and the line where rdmfun() is applied to signal and measurement.

[kendrickkay]

No real reason for the double transpose;it's just necessary for everytihng to work out. It just seems more natural for people to think in terms of "voxels x conditions x trials" as the standard format. Do you agree? If not, what do you suggest?