[R-sig-ME] Random slopes for 2 variables and random intercept for 1 variable

[Thierry Onkelinx]

Dear Shadiya,

glmer() requires at least one random effect. You can use glm() to fit the
model without random effects.

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

2016-04-27 10:38 GMT+02:00 Shadiya Al Hashmi <saah500 op york.ac.uk>:

> Good morning,
>
>
> I have a data design which includes 3 factors of interest/*experimental
> manipulations* (using Barr et. al’s (2013) terminology); namely *Listgp*
> (listener group: T[monolinguals], TA [bilinguals] and TQ [Turkish speakers
> who know Arabic through reading Quran]), *length* (long and short vowels)
> and *context (emphatics, pharyngeals, plain and q)*.
>
>
>
> *Listgp* is a *between-listener* (subject) and *within-stimulus* (item)
> variable [(1|listener), (1+Listgp|stimulus)] while both *length* and
> *context* are *within-listener* and *between-stimulus* variables
> [(1+length|listener), (1|stimulus) and (1+context|listener), (1|stimulus)].
>
>
>
> My question is, how can I code this in the following maximal model lacking
> the random effects (for the time being?
>
>
>
> maxmodal<- glmer(match ~ Listgp + length + context + gender + age + freq.,
> data = msba, family = "binomial", control = glmerControl(optimizer =
> "bobyqa"), nAGQ =1)
>
>
>
> Here is more information on the variables involved.
>
> *DV/Y (response):* match
>
> *Random effects:* listener and stimulus
>
> *Fixed effects/predictors:* a) *By-listener predictors*+ b) *by-stimulus
> predictors: *
>
> *a) By-listener predictors:* (*3*)
>
> *1. Factors: (2)*
>
> -*Listgp* (listener group): effect of interest (T: monolingual Turkish
> speakers, TA: bilingual Turkish speakers and TQ: Turkish speakers who know
> Arabic through reading Quran).)
>
> -*gender* (female and male)
>
>
>
> *2. Continuous predictors (1)*
>
> -*age *(age of listeners at the time of experiment)
>
>
>
> *b) By-stimulus predictors: (3)*
>
> *1. Factors: (2)_*
>
> -* context *(stimulus context: emphatic, pharyngeal, plain and q)
>
> -*length *(stimulus length: long and short)
>
> *2. Continuous predictors: (1)*
>
> -*freq*. (stimulus frequency as per arabiCorpus)
>
> Number of obs: 1224, groups:  listener, 51; stimulus, 24
>
>
>
>
>
> Appreciating your kind input.
>
> --
> Shad
>
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>
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