sim.fmri2COVAR {adaptsmoFMRI} | R Documentation |
This function returns the synthetic spatiotemporal data set resembling functional MR Images (fMRI) data.
sim.fmri2COVAR(hrf, beta.Var1, beta.Var2)
hrf |
haemodynamic response function, needs to be a
vector of length |
beta.Var1 |
scalar, defines the height of the activated area, in form of a cylinder of the first grid. |
beta.Var2 |
scalar, defines the height of the activated area, in form of a cylinder of the second grid. |
The returned data is simulated on a 20 x 20 grid.
fmri |
matrix, simulated fmri data. |
This function is solely for two covariates.
Maximilian Hughes
# non-transformed hr-function
T <- 180
seq.length <- T*3
index <- seq(3, T*3, by = 3)
vis <- rep(c(-0.5, 0.5), each=30, times=ceiling(T/30*1.5))
vis <- as.matrix(vis[index])
aud <- rep(c(-0.5, 0.5), each=45, times=ceiling(T/30*1.5))
aud <- as.matrix(aud[index])
hrf <- cbind(vis,aud)
# define height of activation area
beta.Var1 <- beta.Var2 <- 3
# use function to obtain fmri data
data <- sim.fmri2COVAR(hrf, beta.Var1, beta.Var2)$fmri