slm_F: Compute F stats map for mass-univariate GLM analysis.

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

Compute F stats map for mass-univariate GLM analysis.

Description

Compute F stats map for mass-univariate GLM analysis.

Usage

slm_F(X, Y, predictors, output = c("F", "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
predictors	vector of character strings, the names of the predictors in the model matrix
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 F= the F 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.