parperm_boot.RdBootstrapping using parPerm
parperm_boot(x.mat.boot = xtx, y.boot = ymat, columns.boot = 2:3, split.boot = 101, num_perms.boot = 5, boots = 5)
| boots | Number of desired bootstraps |
|---|---|
| x.mat | The desired x matrix that contains all the characteristics data/predictor variables; the matrix should contain the desired column user intends completing the permutation on. |
| y | The desired preprocessed neuroimaging data, with a mask or not. |
| columns | A statement indicating which characteristic/predictor we want analyzed, for multiple categories select the proper columns |
| split | A value that allows user to finely split the processing task to allow for error checking. |
| num_perms | User defined value for number of desired permutations |
The desired results post-bootstrap
#library(parallel) #lirary(doparallel) #library(parPerm) #cores <- detectCores() #cl <- makeCluster(cores[1]-1) #not to overload your computer #registerDoParallel(cl) #boooooot <- parperm_boot(x.mat.boot = xtx, y.boot = ymat, columns.boot = 2:3, split.boot = 101, num_perms.boot = 5, boots = 5)