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!