compcor: Compcors the input matrix using SVD and returns the result.

In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Compcors the input matrix using SVD and returns the result.

Description

Compcors the input matrix using SVD and returns the result.

Usage

compcor(
  fmri,
  ncompcor = 4,
  variance_extreme = 0.975,
  mask = NULL,
  randomSamples = 1,
  returnv = FALSE,
  returnhighvarmat = FALSE,
  returnhighvarmatinds = FALSE,
  highvarmatinds = NA,
  scale = TRUE
)

Arguments

fmri	input fmri image or matrix
ncompcor	n compcor vectors
variance_extreme	high variance threshold e.g 0.95 for 95 percent
mask	optional mask for image
randomSamples	take this many random samples to speed things up
returnv	return the spatial vectors
returnhighvarmat	bool to return the high variance matrix
returnhighvarmatinds	bool to return the high variance matrix indices
highvarmatinds	index list
scale	scale the matrix of high variance voxels, default FALSE. note that you may get slightly different results by scaling the input matrix before passing into this function.

Value

dataframe of nuisance predictors is output

Author(s)

Avants BB

Examples

mat <- matrix(rnorm(50000), ncol = 500)
compcorrdf <- compcor(mat)

stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.