[Mne_analysis] mne report command

Denis-Alexander Engemann denis.engemann at gmail.com
Fri Jul 11 12:44:28 EDT 2014
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Hi all,

here is an example that shows how to create a custom report:

https://gist.github.com/dengemann/dedbf84d07d79975d5a0

Best,
Denis


On Fri, Jul 11, 2014 at 6:27 PM, Alexandre Gramfort <
alexandre.gramfort at telecom-paristech.fr> wrote:

> hi,
>
> I am already really happy to see what Mainak has achieved but if you
> think some relevant information is missing or not well highlighted,
> it's the moment to ask so we can make it happen for the next release.
>
> Please take a minute to give some feedback and suggest improvements.
>
> Cheers,
> Alex
>
>
> On Fri, Jul 11, 2014 at 5:56 PM, Mainak Jas <mainak at neuro.hut.fi> wrote:
> > Dear all,
> >
> > We're converging on the `mne report` command that I was working for the
> > Google Summer of Code this year.
> >
> > The idea is to run the `mne report` command as below:
> >
> > $ mne report --path MNE-sample-data/ --subjects-dir
> > MNE-sample-data/subjects --subject sample
> >
> > providing it the data directory whose report must be created. It will
> > generate a report as a single html file which can be easily shared with
> > collaborators via email or dropbox. A link to the report generated from
> > the MNE sample dataset is provided below:
> >
> > https://dl.dropboxusercontent.com/u/3915954/report.html
> >
> > The motivation is that it can be used to generate a quick
> > summary/statistics of the results and do a quality check with minimal
> > scripting. Typically, this is something one might want to run one day
> > after data collection.
> >
> > We also provide a python interface for more advanced users who want to
> > embed their own custom plots in the report.
> >
> > Any feedback towards improving this is most appreciated. Thanks!
> >
> > Best regards,
> > Mainak
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