[R-sig-ME] lme4 question

[Ahreum Maeng]

Thank you so much for your reply! Just one more question -- would the model
still be able to account for the fact that the 4 stimuli were sampled from
population A and B respectively?

Thanks again,
Ahreum

On Wed, Jul 19, 2017 at 9:19 AM, Thierry Onkelinx <thierry.onkelinx at inbo.be>
wrote:

> Dear Ahreum,
>
> Keep the mailinglist in cc.
>
> Your coding is wrong. Look at the model output. You'll see 5 groups for A
> and B instead of 4. You need all stimuli in a single variable (e.g. A1, A2,
> A2, A4, B1, ...). The model becomes DV ~ type*IV+(1|id)+(0+type|id)+(1|
> stimulus)
>
> Best regards,
>
> ir. Thierry Onkelinx
> Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
> Forest
> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
> Kliniekstraat 25
> 1070 Anderlecht
> Belgium
>
> To call in the statistician after the experiment is done may be no more
> than asking him to perform a post-mortem examination: he may be able to say
> what the experiment died of. ~ Sir Ronald Aylmer Fisher
> The plural of anecdote is not data. ~ Roger Brinner
> The combination of some data and an aching desire for an answer does not
> ensure that a reasonable answer can be extracted from a given body of data.
> ~ John Tukey
>
> 2017-07-19 15:58 GMT+02:00 Ahreum Maeng <amaengwork at gmail.com>:
>
>> No it is not a complete data. I show just part of it as an example.
>> The grouping variable is "type": there are two types A (coded as 1) and B
>> (coded as 0).
>>
>> id: individuals
>> type: 2 types of stimuli nested within id. repeated within individual
>> A_id: there are 4 different stimuli within each type (A and B). This
>> variable indicates 4 different stimuli within type A. coded as 1, 2, 3, 4.
>> B_id: there are 4 different stimuli within B.coded as 1, 2, 3, 4.
>> IV: this variables is characteristics of each stimuli.
>> DV: responses of individuals for stimuli.
>>
>> Please let me know if you need further information about the data set.
>>
>> Thank you so much for your kind help in advance,
>> Ahreum
>>
>>
>> On Wed, Jul 19, 2017 at 7:52 AM, Thierry Onkelinx <
>> thierry.onkelinx at inbo.be> wrote:
>>
>>> Dear Ahream,
>>>
>>> You need to tell us more about the data set. Is this the complete data?
>>> What variable indicates the grouping?
>>>
>>> Best regards,
>>>
>>> ir. Thierry Onkelinx
>>> Instituut voor natuur- en bosonderzoek / Research Institute for Nature
>>> and Forest
>>> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
>>> Kliniekstraat 25
>>> 1070 Anderlecht
>>> Belgium
>>>
>>> To call in the statistician after the experiment is done may be no more
>>> than asking him to perform a post-mortem examination: he may be able to say
>>> what the experiment died of. ~ Sir Ronald Aylmer Fisher
>>> The plural of anecdote is not data. ~ Roger Brinner
>>> The combination of some data and an aching desire for an answer does not
>>> ensure that a reasonable answer can be extracted from a given body of data.
>>> ~ John Tukey
>>>
>>> 2017-07-19 14:21 GMT+02:00 Ahreum Maeng <amaengwork at gmail.com>:
>>>
>>>> Hello,
>>>>
>>>> I am trying to run the following model:
>>>>
>>>> DV ~ type*IV+((1|id)+(0+type|id)+(1|A_id)+(1|B_id))
>>>>
>>>> As you see on the following sample data structure, "type" is repeated
>>>> measure where 0=A, 1=B. There are 4 ids within each type A and B.
>>>> Thus, I coded "B_id" as "0" when the type is 1 (A) and coded "A_id" as
>>>> "0"
>>>> when type is 0 (B).
>>>> Would it be a right way to deal with this repeated measure issue?
>>>>
>>>> ​id type    A_id B_id IV    DV
>>>> 1  1   0   1 1     3.14
>>>> 2  1   0   2 2     4.67
>>>> 3  1   0   3 3     4.23
>>>> 4  1   0   4 1     7.00 ​
>>>> ​1  0   1   0 2     3.00
>>>> 2  0   2   0 3     4.77
>>>> 3  0   3   0 1     4.25
>>>> 4  0   4   0 2     7.12 ​​
>>>>
>>>> T​hank you so much for your help in advance!
>>>>
>>>> _______________________________________________
>>>> R-sig-mixed-models at r-project.org mailing list
>>>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>>>
>>>
>>>
>>
>>
>> --
>> Ahreum Maeng
>> Assistant Professor in Marketing
>> KU School of Business
>> University of Kansas
>> #2183 Capitol Federal Hall
>> 1654 Naismith Drive.
>> Lawrence, KS 66045
>> https://sites.google.com/site/ahreummaeng1/research
>> <https://sites.google.com/site/ahreummaeng1/home>
>>
>
>


-- 
Ahreum Maeng
Assistant Professor in Marketing
KU School of Business
University of Kansas
#2183 Capitol Federal Hall
1654 Naismith Drive.
Lawrence, KS 66045
https://sites.google.com/site/ahreummaeng1/research
<https://sites.google.com/site/ahreummaeng1/home>

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