View source: R/lsm_regresfast.R
| lsm_regresfast | R Documentation | 
Lesion to symptom mapping performed on a prepared matrix. Regressions are performed between behavior and each column of the lesmat matrix. Fast function based on compiled code.
lsm_regresfast(lesmat, behavior, covariates = NA, FWERperm = F,
  nperm = 1000, v = 1, pThreshold = 0.05, clusterPerm = F,
  mask = NA, voxindx = NA, samplemask = NA,
  clusterPermThreshold = 0.05, showInfo = T, ...)
lesmat | 
 matrix of voxels (columns) and subjects (rows).  | 
behavior | 
 vector of behavioral scores.  | 
covariates | 
 (default=NA) vector of matrix of covariates.  | 
FWERperm | 
 logical (default=FALSE) whether to run permutation based FWER thresholding.  | 
nperm | 
 Number of permutations to perform when needed.  | 
v | 
 (default=1) what voxel to record for FWER thresholding.  | 
pThreshold | 
 (default=0.05) Voxel-wise threshold.  | 
clusterPerm | 
 logical (default=FALSE), whether to perform permutation based cluster thresholding.  | 
mask | 
 (default=NA) antsImage reference mask used for cluster computations.  | 
voxindx | 
 (default=NA) indices of voxels to put in mask  | 
samplemask | 
 (default=NA) antsImage used to extract voxels back in a matrix.  | 
clusterPermThreshold | 
 (default=0.05) threshold for cluster selection after obtaining cluster size distrubution.  | 
showInfo | 
 display info messagges when running the function.  | 
... | 
 other arguments received from   | 
List of objects returned:
statistic - vector of statistical values
pvalue - vector of pvalues
zscore - vector of zscores
perm.vector - (optional) vector of permuted statistics
perm.FWERthresh - (optional) permutation threshold established
from the distribution of perm.vector
perm.clusterThreshold - (optional) permutation threshold established
from the distribution of perm.vector
Dorian Pustina
{
set.seed(123)
lesmat = matrix(rbinom(200,1,0.5), ncol=2)
set.seed(123)
behavior = rnorm(100)
result = lsm_regresfast(lesmat, behavior)
}
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