I want to use linear mixed model in R program. I have many explanatory variables and some of them are nested. I read about this but I did not find the correct R coding. Is it possible to do the same code as the generalized linear model but adding the random effect. If so, how can I right it in R?
Sincerely,
Yassine.
Dear Yassine,
I recommend reading the tutorial by Bodo Winter which covers the basic idea of mixed models, the differences between linear models and linear mixed models and illustrates the use of lme4 with coding examples (Article Linear models and linear mixed effects models in R with ling...
).Furthermore, from what I understood you seem somewhat unsure whether to use mixed models. Peugh (Article A practical guide to multilevel modeling
) provides a step-by-step description of the process from a research question to mixed models, including the assessment of the need for mixed models.Best,
Sven
You can fit the linear mixed-effects model using the R package 'lme4'. You can find the details of this package here https://cran.r-project.org/web/packages/lme4/vignettes/lmer.pdf
See this link:
https://www.r-bloggers.com/2017/12/linear-mixed-effect-models-in-r/
Thank you very muh for your all substantial help.
Sincerely,
Yassine.
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