======================================================================
Alexandre dos Santos
Prote??o Florestal
IFMT - Instituto Federal de Educa??o, Ci?ncia e Tecnologia de Mato Grosso
Campus C?ceres
Caixa Postal 244
Avenida dos Ramires, s/n
Bairro: Distrito Industrial
C?ceres - MT CEP: 78.200-000
Fone: (+55) 65 99686-6970 (VIVO) (+55) 65 3221-2674 (FIXO)
alexandre.santos at cas.ifmt.edu.br
Lattes: http://lattes.cnpq.br/1360403201088680
OrcID: orcid.org/0000-0001-8232-6722
Researchgate: www.researchgate.net/profile/Alexandre_Santos10
LinkedIn: br.linkedin.com/in/alexandre-dos-santos-87961635
Mendeley:www.mendeley.com/profiles/alexandre-dos-santos6/
======================================================================
Em 06/02/2018 06:15, Thierry Onkelinx escreveu:
> Dear Alexandre,
>
> First of all you need to get a stable model. Otherwise any number you
> get from it is meaningless. Can you provide more detail on your model.
> E.g. summary(mT), str(d1), ...
>
> Best regards,
>
> ir. Thierry Onkelinx
> Statisticus / Statistician
>
> Vlaamse Overheid / Government of Flanders
> INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE
> AND FOREST
> Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
> thierry.onkelinx at inbo.be
> Havenlaan 88 bus 73, 1000 Brussel
> www.inbo.be
>
> ///////////////////////////////////////////////////////////////////////////////////////////
> 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
> ///////////////////////////////////////////////////////////////////////////////////////////
>
>
>
>
> 2018-02-05 20:15 GMT+01:00 ASANTOS via R-sig-mixed-models
> <r-sig-mixed-models at r-project.org>:
>> Dear Mix Models Members,
>>
>> I try to extract R^2 for linear mixed effects models with
>> glmer() function with poisson distribution using r.squaredGLMM() in
>> MuMIn package, but doesn't work. My output always show:
>>
>> #Model ajusted > mT <-glmer(riqueza ~tipo_trat+(1|Ponto),data=d1, +
>> family=poisson, control = glmerControl(check.conv.singular =
>> "warning",optCtrl = list(maxfun=100000))) Warning messages: 1: In
>> checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :Model
>> failed to converge with max|grad| = 0.00894145 (tol = 0.001, component
>> 1) 2: In checkConv(attr(opt, "derivs"), opt$par, ctrl =
>> control$checkConv, :singular fit 3: In checkConv(attr(opt, "derivs"),
>> opt$par, ctrl = control$checkConv, :Model is nearly unidentifiable: very
>> large eigenvalue - Rescale variables?;Model is nearly unidentifiable:
>> large eigenvalue ratio - Rescale variables? #R^2 conditional and
>> marginal > r.squaredGLMM(mT) Error in glmer(formula = riqueza ~
>> tipo_trat + temp_final + temp_inici + : fitting model with the
>> observation-level random effect term failed. Add the term manually In
>> addition: Warning message: In value[[3L]](cond) :(p <- ncol(X)) ==
>> ncol(Y) is not TRUE
>>
>> I change almost all parameters indicating by web posts like
>> glmerControl, maxfun, etc. There are other approaches to calculate the
>> conditional and marginal R^2 for my model with lme4 package?
>>
>> Thanks in advance,
>>
>> Alexandre
>>
>> --
>> ======================================================================
>> Alexandre dos Santos
>> Prote??o Florestal
>> IFMT - Instituto Federal de Educa??o, Ci?ncia e Tecnologia de Mato Grosso
>> Campus C?ceres
>> Caixa Postal 244
>> Avenida dos Ramires, s/n
>> Bairro: Distrito Industrial
>> C?ceres - MT CEP: 78.200-000
>> Fone: (+55) 65 99686-6970 (VIVO) (+55) 65 3221-2674 (FIXO)
>>
>> alexandre.santos at cas.ifmt.edu.br
>> Lattes:http://lattes.cnpq.br/1360403201088680
>> OrcID: orcid.org/0000-0001-8232-6722
>> Researchgate:www.researchgate.net/profile/Alexandre_Santos10
>> LinkedIn: br.linkedin.com/in/alexandre-dos-santos-87961635
>> Mendeley:www.mendeley.com/profiles/alexandre-dos-santos6/
>> ======================================================================
>>
>>
>> [[alternative HTML version deleted]]
>>
>> _______________________________________________
>> R-sig-mixed-models at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
[[alternative HTML version deleted]]