checkAssumptions_ttest.RdRoutine to test statistical assumptions are met at each voxel for t-tests
checkAssumptions_ttest(lesmat, behavior, assumptionThreshold = 0.05, showInfo = TRUE, ...)
| lesmat | binary matrix (0/1) of voxels (columns) and subjects (rows). |
|---|---|
| behavior | vector of behavioral scores. |
| assumptionThreshold | (default=0.05) threshold to establish whether tests pass or fail. This threshold is applied at each voxel individually, no corretion for multiple comparison is applied. |
| showInfo | logical (default=TRUE), display info messages |
| ... | arguments that are passed by upstream functions |
List of objects returned:
failVarianceTest - vector of logical values
marking voxels that have different variance of behavioral
scores in lesioned and non-lesioned individuals. Obtained
using the var.test function.
failNormalityTest - vector of logical values
marking voxels with abnormal distribution of behavioral
scores either in lesioned or non-lesioned individuals.
Obtained with the shapiro.test function.