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<p>Dear all,</p>
<p>I'm sorry to insist on this issue which has largely discussed on
the mailing list (<a
href="https://mailman.science.ru.nl/pipermail/fieldtrip/2018-October/025301.html">https://mailman.science.ru.nl/pipermail/fieldtrip/2018-October/025301.html</a>)
(<a
href="https://mailman.science.ru.nl/pipermail/fieldtrip/2018-August/012314.html">https://mailman.science.ru.nl/pipermail/fieldtrip/2018-August/012314.html</a>),
but I cannot find an easy way out to perform a one-sample t-test
with cluster-based statis at the group (or single subject) level
using Fieldtrip.</p>
<p>As you are probably aware, MNE-python has implemented such test
in this <a moz-do-not-send="true"
href="https://martinos.org/mne/stable/generated/mne.stats.permutation_cluster_1samp_test.html">code</a>
starting from the fact that [lines 1182-1186]:</p>
<p> "Because a 1-sample t-test on the difference in observations is
mathematically equivalent to a paired t-test, internally this
function computes a 1-sample t-test (by default) and uses sign
flipping (always) to perform permutations. This might not be
suitable for the case where there is truly a single observation
under test"</p>
<p>Is there a way to "hack" the current version of Fieldtrip to
perform such test?</p>
<p>Are you planning to implement it in the near future?</p>
<p>Thanks a lot.</p>
<p>Cheers,<br>
</p>
<p>Andrea<br>
</p>
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