slm_t: Compute t map for mass-univariate GLM analysis.

In dfsp-spirit/brainnet: Machine learning on structural neuroimaging data for R

Compute t map for mass-univariate GLM analysis.

Description

Compute t map for mass-univariate GLM analysis.

Usage

slm_t(X, Y, model.term, output = c("t", "p", "p.adjust"))

Arguments

X	numerical matrix, the design or model matrix, typically created from the demographics data using model.matrix.
Y	numerical matrix, the target value, typically neuroimaging data
model.term	character string, the name of the factor in the model for which to compute the stats.
output	vector of pre-defined character strings, defined what values to return. Leave alone if in doubt.

Value

named list with entries according to the output parameter. By default t= the t value map, p = the uncorrected p value map, p.adjust = the FDR-corrected p value map.

Author(s)

C Ecker, documentation by T Schaefer

dfsp-spirit/brainnet documentation built on July 11, 2022, 5:54 a.m.