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Thanks so much for your help with this. Please let me know if this is an appropriate place to be posting these questions, or if there's a different forum.
I attempted to modify a FEAT directory to confirm to the BIDS derivatives specification, not sure if I've entirely succeeded. My preproccessed subject files are called, for example, sub-S33107_ses-imaging_task-Stroop_space-MNI152_desc-preproc_bold.nii.gz. Because I called the space simply MNI152 in those files, I added the flag '--space-label MNI152' to the command and got it past the previous error. I now have a new error that says: "ValueError: The selected confounds contain nans: ['rot_x', 'rot_y', 'rot_z', 'trans_x', 'trans_y', 'trans_z']" I don't know why it's reporting that..?
We should check that each column is numeric and that there should be at least as many columns in the dataframe as the user has selected to use in the analysis (doesn't make sense if the user has specified 5 columns to use, but the dataframe only has 3 columns).
The text was updated successfully, but these errors were encountered:
Hello,
Thanks so much for your help with this. Please let me know if this is an appropriate place to be posting these questions, or if there's a different forum.
I attempted to modify a FEAT directory to confirm to the BIDS derivatives specification, not sure if I've entirely succeeded. My preproccessed subject files are called, for example, sub-S33107_ses-imaging_task-Stroop_space-MNI152_desc-preproc_bold.nii.gz. Because I called the space simply MNI152 in those files, I added the flag '--space-label MNI152' to the command and got it past the previous error. I now have a new error that says: "ValueError: The selected confounds contain nans: ['rot_x', 'rot_y', 'rot_z', 'trans_x', 'trans_y', 'trans_z']" I don't know why it's reporting that..?
Originally posted by @mbpincus in #303 (comment)
We should check that each column is numeric and that there should be at least as many columns in the dataframe as the user has selected to use in the analysis (doesn't make sense if the user has specified 5 columns to use, but the dataframe only has 3 columns).
The text was updated successfully, but these errors were encountered: