Description Usage Arguments Details Author(s) See Also Examples
post.tseries
plots the fitted time series of a voxel estimated as active.
1 | post.tseries(out, slicedata, ymaskdata, vreg=2)
|
out |
output of MCMC simulation |
slicedata |
list(slice=slice, niislicets=niislicets, mask=mask, dsgn=dsgn);
input slicedata used in simulation as returned by |
ymaskdata |
list(yn = yn, kin = kin, nreg = nreg);
masked and standardised slice data as returned by |
vreg |
number of the active variable to visualize; default(vreg=2). |
Use the estimated regression coefficients to visualize the fitted time series in an active voxel.
A. Ferreira da Silva, Universidade Nova de Lisboa,
Faculdade de Ciencias e Tecnologia,
afs@fct.unl.pt.
cudaMultireg.slice
,
post.simul.hist
,
post.simul.betadraw
,
post.ppm
1 2 3 4 5 6 7 8 9 | ## Not run:
## read data and load MCMC simulation
slicedata <- read.fmrislice(fbase="fmri", slice=3, swap=TRUE)
ymaskdata <- premask(slicedata)
fsave <- paste(tempdir(),"/simultest1",fileext = ".sav", sep="")
load(fsave)
post.tseries(out=out, slicedata=slicedata, ymaskdata=ymaskdata, vreg=2)
## End(Not run)
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