Resultados

Generalized Mixed Model

Model Info
InfoValueComment
Model TypeCustomModel with custom family
CallglmConsumo ~ 1 + Dia + Energia + I(Dia^2) + Energia:Dia + I(Dia^3) + (0 + Energia + I(Dia^2) + I(Dia^3) | Box)
Link functionIdentityCoefficients in the same scale of y
DistributionGammaSkewed continuous distribution
LogLikel.-1365.29709Unconditional Log-Likelihood
-2*LogLikel.2730.59419Unconditional absolute deviance
Deviance0.38506Conditional relative deviance
R-squaredNaNMarginal
R-squaredNaNConditional
AIC2756.59000Less is better
BIC2800.94559Less is better
Residual DF211.00000 
Chi-squared/DF0.00185Overdispersion indicator
Convergedyes 
Optimizerbobyqa 
Note. boundary (singular) fit: see help('isSingular')
[3]

 

Model Results

Fixed Effect Omnibus tests
 dfp
Dia41.696401.00000< .00001
Energia5.054851.000000.02456
Dia²1704.960111.00000< .00001
Energia ✻ Dia698.472591.00000< .00001
Dia³121.552611.00000< .00001

 

Fixed Effects Parameter Estimates
95% Confidence Interval
NamesEstimateSELowerUpperzp
(Intercept)189.6382959.9320772.17360307.102983.164220.00155
Dia-31.667014.90408-41.27884-22.05519-6.45727< .00001
Energia0.042170.018760.005410.078932.248300.02456
Dia²7.677380.185937.312968.0418041.29116< .00001
Dia³-0.067680.00256-0.07270-0.06266-26.42863< .00001
Dia ✻ Energia-0.011900.00108-0.01402-0.00979-11.02509< .00001

 

Random Components
GroupsNameSDVarianceICC
BoxEnergia0.000000.00000 
 Dia²0.104210.01086 
 Dia³0.002390.00001 
Residual 0.043760.00191 
Residuals 0.043760.00191.
Note. Number of Obs: 224 , groups: Box 28

 

Random Parameters correlations
GroupsParam.1Param.2Corr.
BoxEnergiaDia²NaN
 EnergiaDia³NaN
 Dia²Dia³-0.85545

 

Effects Plots

Estatística Descritiva

Estatística Descritiva
 MixzLM_RES_Consumo
N224
Omisso0
Média-0.00058
Mediana-0.00110
Desvio-padrão0.04155
Mínimo-0.10388
Máximo0.17446

 

Gráficos

MixzLM_RES_Consumo

Gráfico de Dispersão

References

[1] The jamovi project (2023). jamovi. (Version 2.4) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2022). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from CRAN snapshot 2023-04-07).

[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.