[Eeglablist] newtimef

[Ramón Martinez]

Dear Farzad,
Well.. We have been working on this issue during the week. Happily....
there is no major bug, the 'difference' you see in your plots are caused by
some differences in the plot properties (colorbar 'caxis').. but the
plotted matrix is the same. We are working to fix this 'makeup' issue in
plotting the data.
However, if you want to bypass this situation until we fix it, you can
change the 'caxis' property of your plot to make them look the same. We
will release the fix ASAP, we just want to keep you updated.
 Regards,
Ramon

On Mon, Jun 23, 2014 at 12:10 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
wrote:

> Dear Farzad,
>
> I replicated the problem with Ramon and he will start to investigate it.
> Please wait for our next report.
>
> Makoto
>
>
> On Mon, Jun 23, 2014 at 8:13 AM, Farzad Beheshti <
> farzadbeheshti12 at gmail.com> wrote:
>
>> Dear all,
>>
>> I know I am disturbing you all.
>> Sorry for that.
>> But I desperately need to know If this is my mistake that the ERSP
>> results appear like this.
>> Do you know anyone who has used newtimef() before, please?
>>
>> Regards
>>
>>
>>
>>
>> On Thu, Jun 19, 2014 at 11:07 AM, Farzad Beheshti <
>> farzadbeheshti12 at gmail.com> wrote:
>>
>>> Dear Makoto
>>>
>>> I also want to add that I do not think that representing data in
>>> t-statistics domain will make a big change comparing to representing data
>>> in voltage domain. T-statistics are somehow the signal to noise ratio. So,
>>> if you present data in statistics domain the figure should appear smoother.
>>> But the general pattern does not change.
>>>
>>> I do not know where is the problem. Something is going wrong that I do
>>> not understand.
>>>
>>>      Thanks
>>>
>>>
>>> On Thu, Jun 19, 2014 at 10:51 AM, Farzad Beheshti <
>>> farzadbeheshti12 at gmail.com> wrote:
>>>
>>>> Exactly Makoto. Thank you very much for your clarification.
>>>> Yes, why the survived blobs look different?
>>>>
>>>> Thank you
>>>>
>>>>
>>>> On Thu, Jun 19, 2014 at 1:05 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
>>>> wrote:
>>>>
>>>>> Sorry, I mean I was guessing the cause of the inconsistency Farzad
>>>>> pointed out.
>>>>> So he was asking that after statistical threshold masking, the
>>>>> remaining significant results should show the same blob patterns compared
>>>>> with unmasking results, but actually when the mask was applied the survived
>>>>> blobs look different. Why is this?
>>>>>
>>>>> Makoto
>>>>>
>>>>>
>>>>> On Wed, Jun 18, 2014 at 2:09 PM, Arnaud Delorme <arno at ucsd.edu> wrote:
>>>>>
>>>>>> Hi Makoto,
>>>>>>
>>>>>> Presenting T values or F values is not possible in the graphic
>>>>>> interface. However, it is possible from the command line.
>>>>>> Use newtimef to compute the ERPS and statistics and retrieve this
>>>>>> function's output.
>>>>>> Then use the function tftopo to plot the time-frequency images and
>>>>>> you may provide as input statistics returned by the function above.
>>>>>>
>>>>>> Same can be done at the STUDY level with std_erspplot and std_plottf.
>>>>>>
>>>>>> Arno
>>>>>>
>>>>>> On Jun 18, 2014, at 8:26 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
>>>>>> wrote:
>>>>>>
>>>>>> Dear Farzad and Arno,
>>>>>>
>>>>>> Ok I think I got it.
>>>>>> Arno, it is possible that after bootstrap testing you present t-score
>>>>>> or something instead of the raw values in ERPS plots?
>>>>>>
>>>>>> Makoto
>>>>>>
>>>>>>
>>>>>> On Mon, Jun 16, 2014 at 11:38 AM, Makoto Miyakoshi <
>>>>>> mmiyakoshi at ucsd.edu> wrote:
>>>>>>
>>>>>>> Dear Farzad,
>>>>>>>
>>>>>>> I don't see much difference... you know you are using different
>>>>>>> color scales i.e. 'erspmax', 2.5 vs. 'erspmax', 4. Why don't you use either
>>>>>>> 2.5 or 4 to make the comparison? Even better is to numerically compare
>>>>>>> 'ersp' that is the first variable in the output, which should show binary
>>>>>>> matching.
>>>>>>>
>>>>>>> Makoto
>>>>>>>
>>>>>>>
>>>>>>> On Wed, Jun 4, 2014 at 3:57 AM, Farzad Beheshti <
>>>>>>> farzadbeheshti12 at gmail.com> wrote:
>>>>>>>
>>>>>>>> Dear EEGLAB users
>>>>>>>>
>>>>>>>> I have a problem with newtimef().
>>>>>>>>
>>>>>>>> I am trying to plot the ERSP response for the difference of two
>>>>>>>> conditions. I do not use a common baseline between conditions.
>>>>>>>>
>>>>>>>> It seems the ERSP figure before bootstraping does not match with
>>>>>>>> the one after bootstraping, at all.
>>>>>>>>
>>>>>>>> please look at the results in the following link.
>>>>>>>>
>>>>>>>>
>>>>>>>> https://drive.google.com/file/d/0B09QWUmbWKrEeTdDZDNkT25pb0E/edit?usp=sharing
>>>>>>>>
>>>>>>>> If we compare ERSP results in the two figures, condition1 -
>>>>>>>> condition2 does not match. Do you have any idea? What is going on here?
>>>>>>>>
>>>>>>>>       Thanks
>>>>>>>>       Farzad
>>>>>>>>
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>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> Makoto Miyakoshi
>>>>>>> Swartz Center for Computational Neuroscience
>>>>>>> Institute for Neural Computation, University of California San Diego
>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> Makoto Miyakoshi
>>>>>> Swartz Center for Computational Neuroscience
>>>>>> Institute for Neural Computation, University of California San Diego
>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Makoto Miyakoshi
>>>>> Swartz Center for Computational Neuroscience
>>>>> Institute for Neural Computation, University of California San Diego
>>>>>
>>>>
>>>>
>>>
>>
>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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