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I could send a PR to clarify the docstring a bit, but would need some feedback first.
(1) The docstring says:
hfcut: float, optional
cut frequency of the low-pass filter
But it actually means something like: High pass filter cutoff, in seconds, correct?
(2) hfcut has no effect if drift_model='blank', correct?
(3) from a quick look at the code it wasn't clear to me whether the additional regressors (add_regs) are also high-pass filtered. I don't think that is the case, but it should be, no?
Thanks,
Matthias
The text was updated successfully, but these errors were encountered:
I could send a PR to clarify the docstring a bit, but would need tome
feedback first.
(1) The docstring says:
|hfcut: float, optional
cut frequency of the low-pass filter
|
But it actually means something like: High pass filter cutoff, in
seconds, correct?
Hi Mathias,
You're right
(2) |hfcut| has no effect if |drift_model='blank'|, correct?
Indeed.
(3) from a quick look at the code it wasn't clear to me whether the
additional regressors (|add_regs|) are also high-pass filtered. I
don't think that is the case, but it should be, no?
You're right too -- although I do not think that this makes a difference
since including drifts + add_regs
or drifts + filtered addregs as regressors of no interest should not
change the results for the main regressors.
Nevertheless, for the sake of numerical accuracy, it is probably better
to filter them.
Hi all,
I have some questions regarding the
make_dmtx
function here:https://github.com/nipy/nipy/blob/master/nipy/modalities/fmri/design_matrix.py#L312
I could send a PR to clarify the docstring a bit, but would need some feedback first.
(1) The docstring says:
But it actually means something like: High pass filter cutoff, in seconds, correct?
(2)
hfcut
has no effect ifdrift_model='blank'
, correct?(3) from a quick look at the code it wasn't clear to me whether the additional regressors (
add_regs
) are also high-pass filtered. I don't think that is the case, but it should be, no?Thanks,
Matthias
The text was updated successfully, but these errors were encountered: