<div dir="ltr">Hi Alex,<div>I run</div><div>
<p style="margin:0px">stc_pow1 = mne.minimum_norm.source_induced_power(epochs, inverse_operator, frequencies = frequencies, label=None, lambda2=0.1111111111111111, </p>
<p style="margin:0px"> method='dSPM', nave=1, n_cycles=n_cycles, decim=10, use_fft=False, pick_ori= 'normal', </p>
<p style="margin:0px"> baseline=baseline, baseline_mode='logratio', pca=True, n_jobs=1, zero_mean=False, verbose=True, pick_normal=None) </p>
<p style="margin:0px"><br></p><p style="margin:0px">Where 'epochs' is the Maxfiltered, ICA-corrected data and epoched data.</p><p style="margin:0px"><br></p><p style="margin:0px">Elena</p><p style="margin:0px"><br></p></div></div><div class="gmail_extra"><br><div class="gmail_quote">On 16 April 2015 at 10:48, Alexandre Gramfort <span dir="ltr"><<a href="mailto:alexandre.gramfort@telecom-paristech.fr" target="_blank">alexandre.gramfort@telecom-paristech.fr</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">hi Elena,<br>
<br>
can you share a code snippet that produces the error?<br>
I tried setting pca=True in our example and it worked fine.<br>
<br>
Alex<br>
<div><div class="h5"><br>
<br>
On Wed, Apr 15, 2015 at 5:45 PM, Elena Orekhova<br>
<<a href="mailto:orekhova.elena.v@gmail.com">orekhova.elena.v@gmail.com</a>> wrote:<br>
> Hello!<br>
><br>
> I run mne.minimum_norm.source_induced_power<br>
> with option pca=True<br>
> (the data was Maxfiltered)<br>
><br>
> However, in the output I see :<br>
> ...<br>
> Picked 306 channels from the data<br>
> Computing inverse...<br>
> (eigenleads need to be weighted)...<br>
> Reducing data rank to 306<br>
> Computing source power ...<br>
><br>
> It seems that PCA does not work in this case.<br>
> What can be wrong_<br>
><br>
> Thank you!<br>
> Elena<br>
><br>
><br>
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