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How to use LME and lmer in R?
Using lme from the nlme package, the code would be Using lmer from the lme4 package, the code would be something like These threads from R-help may be helpful (and to give credit, that’s where I got the nlme code from). This last link refers to p.165 of Pinheiro/Bates; that may be helpful too.
How to use LME for crossed random effects?
Your first attempt is equivalent to aov (Y ~ A*B + Error (subject), data=d), which doesn’t include all the random effects; your second attempt is the right idea, but the syntax for crossed random effects using lme is very tricky. Using lme from the nlme package, the code would be Using lmer from the lme4 package, the code would be something like
How to create linear mixed effects model in nlme?
The methods lme.lmList and lme.groupedData are documented separately. an object inheriting from class lme, representing a fitted linear mixed-effects model.
Why does LME and lmer from nlme not agree?
Also note that lme from nlme does not compute the denominator degrees of freedom correctly, so the F-statistics agree but not the p-values, and lmer from lme4 doesn’t try too because it’s very tricky in the presence of unbalanced crossed random effects, and may not even be a sensible thing to do. But that’s more than I want to get into here.
How are are and LME used in longitudinal analysis?
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence Pinheiro & Bates (2009). Mixed-Effects Models in S and S-PLUS (Statistics and Computing) Hedeker & Gibsson (2006). Longitudinal Data Analysis Fitzmaurice, Laird, & Ware (2011). Applied Longitudinal Analysis Diggle et al (2013).
How to use LME for repeated measures ANOVA?
I’m trying to use lme from the nlme package to replicate results from aov for repeated measures ANOVAs.
Is the syntax of LME the same as LM?
While the syntax of lme is identical to lm for fixed effects, its random effects are specified under the argument random as. random = ~intercept + fixed effect | random effect. and can be nested using /. In the following example. random = ~1 + C | A/B