Hi all,
I'm working with a dataset with a very large amount of data collected from each participant over many sessions. I'd like to run 3dFWHMx in order to perform cluster correction on an analysis using all of a participant's data, but the errts file produced by 3dREMLfit is hundreds of gigabytes, which is creating logistical issues. Would it be reasonable to use residuals from running 3dREMLfit on a subset of the data (e.g., the first and last session, or maybe the first run of each session) in order to estimate the smoothness of the noise? Or is it pretty important to use all of the data in order to get a faithful estimate?
Thanks!
Dillon