fmri.design {fmri}R Documentation

Linear Model for FMRI Data

Description

Return a design matrix for a linear model with given stimuli and possible polynomial drift terms.

Usage

fmri.design(hrf, order = 2)

Arguments

hrf matrix containing expected BOLD repsonse(s) for the linear model as columns
order order of the polynomial drift terms

Details

The stimuli given in hrf are used as first columns in the design matrix.

The order of the polynomial drift terms is given by order, which defaults to 2.

The polynomials are defined orthogonal to the stimuli given in hrf.

Value

design matrix of the linear model

Author(s)

Karsten Tabelow tabelow@wias-berlin.de

See Also

fmri.stimulus, fmri.lm

Examples

  # Example 1
  hrf <- fmri.stimulus(107, c(18, 48, 78), 15, 2)
  z <- fmri.design(hrf,2)
  par(mfrow=c(2,2))
  for (i in 1:4) plot(z[,i],type="l")

[Package fmri version 1.2-6 Index]