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Currently, when creating a function to be used by mincApply or pMincApply, the function must have only one argument (x), which indicates that the function must be executed on every voxel within the specified mask.
If possible, and to increase the reuseability of functions created for mincApply and pMincApply, it would be nice if they could take additional arguments. This would reduce the amount of hard-coded parameters within each function.
This might not be feasible and/or may require modification of minc2_model, which is probably undesirable.
At the very least, we should think about if this is possible and how to accomplish it.
The text was updated successfully, but these errors were encountered:
mincMean, mincSd, mincVar, mincSum
Note: This also implicitly tests mincVoxel
Note #2: This was coded using data I have. All relevant parameters will need to be changed once we have a standard data set among all tests.
Currently, when creating a function to be used by mincApply or pMincApply, the function must have only one argument (x), which indicates that the function must be executed on every voxel within the specified mask.
If possible, and to increase the reuseability of functions created for mincApply and pMincApply, it would be nice if they could take additional arguments. This would reduce the amount of hard-coded parameters within each function.
This might not be feasible and/or may require modification of minc2_model, which is probably undesirable.
At the very least, we should think about if this is possible and how to accomplish it.
The text was updated successfully, but these errors were encountered: