BMfast2 | R Documentation |
Takes a binary matrix of voxels and a vector of behavior and runs Brunner-Munzel tests on each voxel. This is a fast function that corrects for infinite values with a similar approach as the nparcomp package.
BMfast2(X, y, computeDOF = TRUE)
X |
binary matrix of voxels (columns) for all subjects (rows) |
y |
vector of behavioral scores. |
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
set.seed(1234)
lesmat = matrix(rbinom(40,1,0.2), ncol=2)
set.seed(1234)
behavior = rnorm(20)
test = LESYMAP::BMfast2(lesmat, behavior)
test$statistic[,1] # -2.0571825 -0.8259754
test$dfbm[,1] # 16.927348 7.563432
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