fmri.design {fmri} | R Documentation |
Return a design matrix for a linear model with given stimuli and possible polynomial drift terms.
fmri.design(hrf, order = 2)
hrf |
matrix containing expected BOLD repsonse(s) for the linear model as columns |
order |
order of the polynomial drift terms |
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
.
design matrix of the linear model
Karsten Tabelow tabelow@wias-berlin.de
# 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")