DVARS: Computes the DSE decomposition and DVARS-related statistics....

In muschellij2/clever: Calculate Leverage of Component Models

Description

Differences from implementation at github.com/asoroosh/DVARS:

• The matrix is transposed.

• We center and scale the matrix differently (see scale_med)

• We set all zero-variance voxels to zero during centering & scaling. This means that when we remove constant 0 or NA voxels, constant non-zero voxels are also removed.

• We use a tolerance of 1e-8 to detect non-zero voxels.

Usage

DVARS(X, normalize = FALSE, norm_I = 100, verbose = FALSE)

Arguments

X	a T x N numeric matrix representing an fMRI run.
normalize	Normalize the data as proposed in the original paper? Default is FALSE.
norm_I	The value to scale to. Default is 100, as in the original paper.
verbose	Should occasional updates be printed? Default is FALSE.

muschellij2/clever documentation built on Sept. 26, 2020, 3:54 p.m.