Description Usage Arguments Value Author(s) Examples
Takes a binary matrix of voxels and a matrix of behavioral scores, one for each voxel, then runs Brunner-Munzel tests on each voxel with the repective behavior column. Function mostly used to estimate score biases with full brain simulations. This is a fast function that corrects for infinite values with a similar approach as the nparcomp package.
1 | BMfast2_dualmatrix(X, Y, computeDOF = FALSE)
|
X |
binary matrix of voxels (columns) for all subjects (rows) |
Y |
matrix of voxel specific behavioral scores. Must be of same dimensions as X. |
computeDOF |
(true) chooses whether to compute degrees of freedom. Set to false to save time during permutations. |
List with two vectors:
statistic
- BM values
dfbm
- degrees of freedom
Dorian Pustina
1 2 3 4 5 6 7 8 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.