[Eeglablist] newtimef freqs output

[Makoto Miyakoshi]

Dear Katharina,

> I tried using 'nfreqs' 47 instead of 'padratio' 4 as you suggested. The
> results are identical.

I'm not sure if this could be true. Could you check it again?
Also, please try 'padratio', 2 and 8 to see if it changes results.

> Why is it better to define the number of frequencies
> than to use the padratio?

I misunderstood you. I thought you were saying you want to obtain
linear scale from 4 to 50 Hz with 1 Hz interval. Please forget it.

Makoto

2012/8/2 Katharina Limbach <klim366 at aucklanduni.ac.nz>:
> Dear Makoto,
>
> thanks a lot for your response.
> I think I figured out, that I was making a really stupid mistake. I thought
> that the output parameters were optional and that their order did not matter
> (I used [ersp,times,freqs]) . So the output that was given for 'freqs' was
> actually the 'powbase' output (and likewise the 'times' output was the
> itc...).
>
> So I changed my code to:
>
> [ersp,itc,powbase,times,freqs] = newtimef(EEG.data (83,:,:), 350, [-400
> 996], 250, [1 0.5],'baseline',[NaN],'freqs', [4 50], 'freqscale', 'log',
> 'padratio', 4);
>
> and I am now getting more sensible results (times from -260 to 860 and
> frequencies from 4 to 50).
> I am really sorry for this!
>
> I tried using 'nfreqs' 47 instead of 'padratio' 4 as you suggested. The
> results are identical. Why is it better to define the number of frequencies
> than to use the padratio?
>
> I have one more question about the powbase. I do not want to baseline my
> wavelets (and I set 'baseline' [NaN]), but I am getting a powbase output.
> Does that mean that the baseline power is computed but not used for the
> wavelets?
>
> Thanks a lot, Katharina
>
>
>
> On 3 August 2012 08:06, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
>>
>> Dear Katharina,
>>
>> Sorry for slow response.
>>
>> > The values range from 1.6608914e+04 to 3.0225791e+05.
>>
>> This means your frequency range is between 1.6 MHz to 30.2 MHz, which
>> is like an old generation CPU clock speed. Something is seriously
>> wrong. However, I don't know what causes this from your code.
>>
>> By the way, if you want something close to 4,5,6,... 50, you should
>> use 'nfreq', 47 instead of 'padratio', 4. Could you try it to see what
>> happens?
>>
>> Makoto
>>
>> 2012/7/22 Katharina Limbach <klim366 at aucklanduni.ac.nz>:
>> > Dear all,
>> >
>> > I have a question regarding the output of the newtimef function.
>> > I am using the following command (input data: 1 participant, 1
>> > condition,
>> > electrode # 67. My sampling rate is 250 Hz and the epochs go from -400
>> > to
>> > 996 ms (350 frames)):
>> >
>> > [ersp,times,freqs] = newtimef(EEG.data (67,:,:), 350, [-400 996], 250,
>> > [1
>> > 0.5],'baseline',[NaN], 'freqs', [4 50], 'freqscale', 'log', 'padratio',
>> > 4,
>> > 'plotphase', 'off', 'plotitc', 'off');
>> >
>> > The resulting plot is showing frequencies from 4 to 50 Hz (which is what
>> > I
>> > was looking for) but I do not understand the output I get for 'freqs':
>> > The values range from 1.6608914e+04 to 3.0225791e+05.
>> > Shouldn't they simply be in Hz and go from 4 to 50 Hz? Do I have to
>> > convert
>> > them to get the correct values or is there something else that I am
>> > doing
>> > wrong?
>> >
>> > Also my 'times' output is not a vector of output times in ms, but a  47
>> > x
>> > 200 martix with complex numbers.
>> >
>> >
>> > Thanks a lot for your help,
>> > Katharina
>> >
>> > --
>> > Katharina Limbach
>> > PhD Candidate
>> > Department of Psychology
>> > University of Auckland
>> > Private Bag 92019
>> > Auckland
>> > New Zealand
>> > tel: + 64 9 3737 599 ext 85969
>> >
>> >
>> > _______________________________________________
>> > Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>> > To unsubscribe, send an empty email to
>> > eeglablist-unsubscribe at sccn.ucsd.edu
>> > For digest mode, send an email with the subject "set digest mime" to
>> > eeglablist-request at sccn.ucsd.edu
>>
>>
>>
>> --
>> Makoto Miyakoshi
>> JSPS Postdoctral Fellow for Research Abroad
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego



-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego