Dear R-users, Iâve been looking at the lmer function (lme4 package) in order to set up a mixed linear model and something about the syntax of the random effects eludes me. Iâd like a hand with understanding a specific point, if someone does master this functionâ¦
Letâs say that I have 2 random effects, A (e.g. species, k=2) and B (e.g. individuals, n=100). I made some research about model syntax, and I have the understanding that everything at the left side of the random âparameterâ is about SLOPE and everything at the right side about intercept : ⦠+ (1 |B) would give me an intercept per individual. ⦠+ (1 |A) would give me an intercept per species. ⦠+ (1 |A:B) would give me an intercept per individuals with nested effect (individual inside species). I would like to have random slopes per species. So I thought I could do something like that : ⦠+ (A |B) so to have an intercept per individual and a slope value per species. Graphically, I would therefore obtain 100 lines with 100 different intercepts and 2 possible slopes (1 per species). However, when I extract random parameter values (ranef()), I have : ·        First column is the intercept : varying values per line (individuals), so OK ·        2nd and 3rd column are Species 1 and 2: I have different across individuals (without obvious pattern: I do not have similar values for individual of the same species), which is not what I was expecting (1 value per species : the slope parameter). Is the mistake Iâm doing (or in my understanding of lme4) obvious to somebody? With regards [[alternative HTML version deleted]]
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