lsm_chisq: Chi square tests for symptom mapping

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

Description

Lesion to symptom mapping performed on a prepared matrix. The behavior must be a binary vector. Chi square tests are performed at each voxel. By default the Yates correction is performed, use correct=FALSE if you need to disable it. The behavior must be a binary vector. Exact p-values can be obtained with permutation based estimatins.

Usage

lsm_chisq(lesmat, behavior, YatesCorrect = TRUE, runPermutations = F,
  nperm = 2000, showInfo = TRUE, ...)

Arguments

lesmat	binary matrix (0/1) of voxels (columns) and subjects (rows).
behavior	vector of behavioral scores (must be binary.
YatesCorrect	(default=T) logical whether to use Yates correction.
runPermutations	logical (default=FALSE) whether to use permutation based p-value estimation.
nperm	(default=2000) The number of permutations to run.
showInfo	display info messagges when running the function.
...	other arguments received from lesymap.

Value

List of objects returned:

• statistic - vector of statistical values

• pvalue - vector of pvalues

• zscore - vector of zscores

Author(s)

Dorian Pustina

Examples

{
set.seed(123)
lesmat = matrix(rbinom(200,1,0.5), ncol=2)
set.seed(1234)
behavior = rbinom(100,1,0.5)
result = lsm_chisq(lesmat, behavior)
}

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