I already calculated 3dClustsim and apply them to ‘output.myLME+tlrc’ by 3drefit. But with the command above, I can’t get the images clusterized.
So I just ran
and manually click ‘Clusteize’ on the Afni window and change NN level and # of voxel, and click ‘set’. Then I need to put the name of images manually to
save them. I need to do these tedious jobs whenever I open Afni window to save them.
Is there any way to change NN level and # of voxel in the ‘Clusterize’ via command line, for example, I roughly guess that it might be ‘-com ‘Clusterize_NN’ 3’?
-olay_alpha {Yes|No} :In addition to representing olay values as colors
with a threshold, one also apply opacity
information to 'soften' the effect of
thresholding; see DR: SET_FUNC_ALPHA for a
description of this behavior (def: "No", which is
just standard thresholding stuff).
-olay_boxed {Yes|No} :a partner parameter for the fancy alpha-based olay
viewing; put a box around supra-threshold
voxels/clusters. Default value is "No". (see DR:
SET_FUNC_BOXED)
3dClusterize command worked well to get the clusterized image. But using @chauffeur_afni still give me some errors for example, only showing very white anatomical image even though I already changed the range setup of it or some conflict with using tcsh.
Now I just combine 3dClusterize and ‘Afni -com’, and it worked well to save images.
If you post your @chauffeur_afni command (and your “afni -ver” info), then we can try to troubleshoot the command usage.
–pt
The
National Institute of Mental Health (NIMH) is part of the National Institutes of
Health (NIH), a component of the U.S. Department of Health and Human
Services.