| Model Info | |||
|---|---|---|---|
| Info | |||
| Estimate | Linear mixed model fit by REML | ||
| Call | Conversão ~ 1 + Dia + Energia + I(Dia^2) + Dia:Energia + I(Dia^3)+( 1 | Box ) | ||
| AIC | -712.4792999999999665 | ||
| BIC | -570.0009000000000015 | ||
| LogLikel. | 306.6470144888810410 | ||
| R-squared Marginal | 0.9731559093392054 | ||
| R-squared Conditional | 0.9774167568822179 | ||
| Converged | yes | ||
| Optimizer | bobyqa | ||
| [3] | |||
| Fixed Effect Omnibus tests | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| F | Num df | Den df | p | ||||||
| Dia | 459.7635584710542389 | 1 | 191.9999963889825096 | < .00001 | |||||
| Energia | 58.1294523535778609 | 1 | 126.7914311005200574 | < .00001 | |||||
| Dia² | 446.3325835081445234 | 1 | 192.0000118178193418 | < .00001 | |||||
| Dia³ | 295.5005334954191198 | 1 | 192.0000113725695599 | < .00001 | |||||
| Dia ✻ Energia | 5.4348132782304983 | 1 | 191.9999971971495540 | 0.02078 | |||||
| Note. Satterthwaite method for degrees of freedom | |||||||||
| Fixed Effects Parameter Estimates | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95% Confidence Interval | |||||||||||||||
| Names | Estimate | SE | Lower | Upper | df | t | p | ||||||||
| (Intercept) | 1.4309982914882404 | 0.1424539062722663 | 1.1517937657375541 | 1.7102028172389268 | 129.8562398361701469 | 10.0453425878910778 | < .00001 | ||||||||
| Dia | 0.0949911234965237 | 0.0044301226652624 | 0.0863082426255149 | 0.1036740043675325 | 191.9999963889825096 | 21.4420978094741059 | < .00001 | ||||||||
| Energia | -0.0003491444666862 | 0.0000457938384728 | -0.0004388987408067 | -0.0002593901925657 | 126.7914311005200574 | -7.6242673322475953 | < .00001 | ||||||||
| Dia² | -0.0020758366702320 | 0.0000982570867027 | -0.0022684170213952 | -0.0018832563190689 | 192.0000118178193418 | -21.1265847573180778 | < .00001 | ||||||||
| Dia³ | 0.0000177026718752 | 0.0000010298161184 | 0.0000156842693724 | 0.0000197210743779 | 192.0000113725695599 | 17.1901289551713106 | < .00001 | ||||||||
| Dia ✻ Energia | -0.0000026379732702 | 0.0000011315612761 | -0.0000048557926176 | -0.0000004201539228 | 191.9999971971495540 | -2.3312685984739079 | 0.02078 | ||||||||
| Random Components | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Groups | Name | SD | Variance | ICC | |||||
| Box | (Intercept) | 0.0197870424626393 | 0.0003915270494183 | 0.1587257172110280 | |||||
| Residual | 0.0455539502541906 | 0.0020751623837613 | |||||||
| Note. Number of Obs: 224 , groups: Box 28 | |||||||||
| Descriptives | |||
|---|---|---|---|
| Mix_RES_Conversão | |||
| N | 224 | ||
| Missing | 0 | ||
| Mean | 0.0000000000000017 | ||
| Median | -0.0068479374639809 | ||
| Standard deviation | 0.0433947447641386 | ||
| Minimum | -0.1252386168972852 | ||
| Maximum | 0.2214717486613162 | ||
[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/.