[Eeglablist] making one .set out of two ".sets"

[Makoto Miyakoshi]

no worries

2013/3/9 ida miokovic <ida.miokovic at gmail.com>

> Dear Makoto,
>
> thank you very much.
>
> It worked.
>
> Ida
>
>
> On Sat, Mar 9, 2013 at 9:03 PM, ida miokovic <ida.miokovic at gmail.com>wrote:
>
>> Dear Makoto,
>>
>> I did what you suggested (loaded 3 data sets)
>> In my first email regarding this question I mentioned that 2 files I want
>> to merge used to be one file (let say "main"), which was separated in 2
>> parts (let say "part1" which was preprocessed and "part2").
>> 1. 121 ch data (which is main)
>> 2. 120 ch data ( preprocessed part1)
>> 3. 1 ch data (part2)
>>
>> when I run the code you wrote, which is totally clear to me, I am
>> replacing the first 120 elements from file main, with the part1 and 121st
>> element with part2.
>>
>> But I am constatly getting following:
>> ??? Subscripted assignment dimension mismatch.
>>
>> I am not sure why...I am using EEGLAB v12.0.1.0b
>> I have noticed that when I do the File --> clear dataset(s),  variables
>> in workspace are not cleared (ALLEEG remains 1x3 struct).
>>
>>
>> Regards,
>>
>> Ida
>>
>>
>>
>> On Thu, Mar 7, 2013 at 10:43 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>wrote:
>>
>>> Dear Ida,
>>>
>>> > both of my data sets are given in paired files (set1.set; set1.fdt and
>>> set2.set; set2.fdt), so what would be the procedure of preparing them in
>>> way that I can operate with them in way you suggested?
>>>
>>> It does not matter whether you have set only or set plus fdt. They are
>>> the same. The set file is more like a header (that's why it is light in
>>> size).
>>>
>>> First you load three datasets.
>>>  1. 121 ch data
>>> 2. 120 ch data
>>> 3. 1 ch data
>>>
>>> Then run this (select these lines and press F9)
>>> ALLEEG(1,1).data(1:120,:) = ALLEEG(1,2).data;
>>> ALLEEG(1,1).data(121,:) = ALLEEG(1,3).data;
>>> Then select dataset 1.
>>>
>>> Makoto
>>>
>>>
>>> 2013/3/7 ida miokovic <ida.miokovic at gmail.com>
>>>
>>>> Dear Makoto,
>>>>
>>>> both of my data sets are given in paired files (set1.set; set1.fdt and
>>>> set2.set; set2.fdt), so what would be the procedure of preparing them in
>>>> way that I can operate with them in way you suggested?
>>>>
>>>> I tried loading first data set into eeglab, and the put its values into
>>>> one variable:
>>>> >> variable.data(1:120,:)=EEG.data(1:120,:);
>>>> Then I loaded second data set into eeglab and put its values into the
>>>> same variable:
>>>> >> variable.data(121,:)=EEG.data(121,:);
>>>> onto 121st position (variable and EEGs are in struct format)
>>>> Then I saved variable with save ('variable'), and then changed its
>>>> format from .mat to .set.
>>>>
>>>> When loading variable.set into matlab I obtain only second data set (1
>>>> channel)...I am obviously missing something, though your procedure is 100%
>>>> clear to me.
>>>>
>>>> Thank you very much
>>>>
>>>> Ida
>>>>
>>>>
>>>>
>>>> On Thu, Mar 7, 2013 at 6:35 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>wrote:
>>>>
>>>>> Dear Ida,
>>>>>
>>>>> 1. prepare 121ch data that has the same data length of your original
>>>>> 2. EEG.data(1:120,:) = your first 120ch data
>>>>> 3. EEG.data(121,:) = your additional 1ch data
>>>>> 4. save current dataset as...
>>>>>
>>>>> Makoto
>>>>>
>>>>> 2013/3/6 ida miokovic <ida.miokovic at gmail.com>
>>>>>
>>>>>>  Dear list,
>>>>>>
>>>>>> Is there a function to merge data (.set) in EEGLAB but not one after
>>>>>> another (I understood that pop_mergeset does that). Actually my each .set
>>>>>> file has its corresponding .fdt file, so it was unsuccessful attempt to
>>>>>> convert ".sets" into ".mats" and then put the one under another.
>>>>>>
>>>>>> I have a group of channels in one .set file (for example 120
>>>>>> channels) and another .set file that consists only from one channel. I
>>>>>> would like to obtain one .set file with 121 channels which are 120 from the
>>>>>> first .set file and 121st channel from the second .set file. Is there
>>>>>> possibility to do this? They use to be in one file (they have same number
>>>>>> of frames per epoch, markers, etc), now I did some work with the first set
>>>>>> and want to join them together again.
>>>>>>
>>>>>> I appreciate any help.
>>>>>>
>>>>>> Cheers,
>>>>>>
>>>>>> Ida
>>>>>>
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>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> 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
>>>
>>
>>
>


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