[Mne_analysis] Evoked error
Renew Andrade
andraderenew at yahoo.com
Tue Apr 14 08:37:43 EDT 2020
External Email - Use Caution
Sorry I didn’t answer I had all emails in spam but I received some normally so I didn’t check for spam. Can you tell me how to know if parameters are too strict or not? How can I know how to set proper parameters? Is there any tutorial to know proper criteria?
Sincerely,
Andrade.
On 3 Apr 2020, at 18:36, Dan McCloy <dan at mccloy.info> wrote:
>
> External Email - Use Caution
>
>
> When you create your epochs, include the parameter preload=True, then you will see in the output which epochs are getting dropped based on your reject criteria. Probably your criteria are too stringent, that's why it says <Epochs | 0 events ...>. Here "0 events" means all epochs were rejected. See also epochs.plot_drop_log().
>
> -- dan
> Daniel McCloy
> https://dan.mccloy.info
> Research Scientist
> Institute for Learning and Brain Sciences
> University of Washington
>
>
> ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
> On Friday, April 3, 2020 8:57 AM, Andrade Rey René <rene.andrade at edu.uah.es> wrote:
>
>> External Email - Use Caution
>>
>>
>>
>> Dear experts:
>>
>>
>> I am processing egg data. I need to do epochs.average() but it says like epochs is empty and it makes no sense to do average. When I do mne.Epochs I find that not all the channels were dropped. Depending on the event_id= dict(aud=id1).
>>
>> Sincerely,
>> Andrade.
>>
>>
>> >>> epochs
>> <Epochs | 0 events (all good), -0.199219 - 0.5 sec, baseline [None, 0], ~161 kB, data loaded,
>> 'read': 0>
>>
>>
>>
>> >>> events
>> array([[ 18275, 0, 128],
>> [ 19387, 0, 2],
>> [ 20422, 0, 2],
>> [ 32156, 0, 128],
>> [ 46029, 0, 128],
>> [ 46873, 0, 2],
>> [ 47522, 0, 4],
>> [ 72924, 0, 128],
>> [ 73666, 0, 2],
>> [ 74230, 0, 2],
>> [ 92717, 0, 128],
>> [ 94025, 0, 2],
>> [ 94590, 0, 2],
>> [108211, 0, 128],
>> [109532, 0, 2],
>> [110110, 0, 4],
>> [130866, 0, 128],
>> [131605, 0, 4],
>> [132900, 0, 2],
>> [156301, 0, 128],
>> [157153, 0, 2],
>> [157843, 0, 4],
>> [176353, 0, 128],
>> [177182, 0, 2],
>> [177821, 0, 2],
>> [191436, 0, 128],
>> [192495, 0, 4],
>> [193129, 0, 2],
>> [233638, 0, 128],
>> [234323, 0, 4],
>> [234936, 0, 4],
>> [248375, 0, 128],
>> [249218, 0, 2],
>> [249817, 0, 2],
>> [255773, 0, 128],
>> [256493, 0, 2],
>> [257060, 0, 4],
>> [286302, 0, 128],
>> [287009, 0, 4],
>> [287601, 0, 2],
>> [320684, 0, 128],
>> [321413, 0, 4],
>> [340579, 0, 128],
>> [341369, 0, 4],
>> [342650, 0, 2],
>> [383286, 0, 128],
>> [384166, 0, 2],
>> [384810, 0, 2],
>> [406476, 0, 128],
>> [407297, 0, 2],
>> [407956, 0, 4],
>> [409017, 0, 2],
>> [444348, 0, 128],
>> [445107, 0, 2],
>> [445683, 0, 4],
>> [446969, 0, 2],
>> [482043, 0, 128],
>> [482761, 0, 2],
>> [483421, 0, 2],
>> [521536, 0, 128],
>> [522365, 0, 2],
>> [523009, 0, 2],
>> [535415, 0, 128],
>> [536091, 0, 4],
>> [536691, 0, 2],
>> [573609, 0, 128],
>> [574341, 0, 4],
>> [574916, 0, 2],
>> [588192, 0, 128],
>> [588973, 0, 4],
>> [589524, 0, 2],
>> [611318, 0, 128],
>> [612110, 0, 2],
>> [612703, 0, 4],
>> [613416, 0, 2],
>> [634153, 0, 128],
>> [635029, 0, 2],
>> [635592, 0, 2],
>> [636193, 0, 2],
>> [662819, 0, 128],
>> [663674, 0, 2],
>> [664355, 0, 4],
>> [665003, 0, 2],
>> [677292, 0, 128],
>> [678266, 0, 2],
>> [678926, 0, 2],
>> [679619, 0, 2]])
>
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