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Hi Steve, So, by default, all the stats in featquery are calculated using a binary mask but all the plots are calculated using a weighted mask. Is this right? I ran tsplot using -n, but I'm still getting different values for "data", "full model fit", and the residuals across EVs. It seems to me that none of these should change. Is there a reason why they're different? thanks, jack >Ah - I see. When you use a mask in Featquery it passes that onto tsplot >such that this replaces the use of FEAT cluster masks in masking voxels >for averaging timeseries (etc) over. However this is separate in tsplot >from whether this averaging is weighted by the raw zstat images, which >still happens. If you want to also stop tsplot from weighting the >timeseries averaging with the zstats then insert the "-n" option in to the >featquery script at the appropriate place. >Hope this makes sense! Cheers, Steve. > > >On Sat, 1 Oct 2005, Jack Grinband wrote: > >> Hi Steve, >> I'm still confused: >> 1. So by default, featquery binarises the mask and since it's already binarised, tsplot doesn't need >> the -n option? >> >> 2. Shouldn't the partial model fit and reduced data data be different if you turn the binarise option >> on and off in featquery? In my case tsplot_zstat1.txt is identical in the two cases. >> >> 3. Back to my original question: if the mask is binarised, shouldn't "data" and "full model fit" be >> identical across EVs? >> thanks, >> >> jack