checkAssumptions_ttest: Check t-test assumptions at each voxel

In neuroconductor-releases/LESYMAP: Lesion to Symptom Mapping in R

Description

Routine to test statistical assumptions are met at each voxel for t-tests

Usage

checkAssumptions_ttest(lesmat, behavior, assumptionThreshold = 0.05,
  showInfo = TRUE, ...)

Arguments

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

Value

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.

Author(s)

Dorian Pustina

neuroconductor-releases/LESYMAP documentation built on Nov. 13, 2020, 11:28 p.m.