mni.vertex.statistics: Run a linear model at every vertex of a series of cortical...

Description Usage Arguments Value See Also

View source: R/vertex_glim.R

Description

Uses a GLIM matrix and regresses the values at every vertex against the linear model. Any formula that is valid for lm is also valid here.

Usage

1
mni.vertex.statistics(glim.matrix, statistics.model, vertex.table=FALSE)

Arguments

glim.matrix

The matrix to test against. Usually read using mni.read.glim.file.

statistics.model

The model to test, where y takes the place of the independent variable. For example, 'y ~ Intercept + Group'

vertex.table

A matrix containing the vertex data on which the analysis will be run. This matrix is best generated through mni.build.data.table. Alternately, the argument can be left as FALSE, in which case the vertex table will be built from the glim matrix specified as the first argument.

Value

Returns a list, each row corresponding to a vertex. There are columns corresponding to all the major statistical terms, such as the adjusted R squared, the fstatistics, etc. This list is usually fed into mni.write.vertex.stats for output to file.

See Also

mni.read.glim.file. mni.build.data.table. mni.mean.statistics. mni.write.vertex.stats.


BIC-MNI/mni.cortical.statistics documentation built on May 5, 2019, 10:25 a.m.