# lme4

1. ### Obtaining the individual, relative variance contributions of fixed and radnom effects of an LMM in R

Hello, I am running a LMM (using the lmer4 package) with the following structure: lmer(Response~F1+F2+F3+(1|R1)+(1|R1:T2)+(1|R2)) For my research question I would like to quantify how much of the overall variance is explained by each indvidual fixed and each random effect. In other words I would...
2. ### lme in R - how do I get differences in mean values?

Hi, my data structure is as follows: Participants experienced 8 different situations and answered the same questionnaire about their experience in each situation (the questionnaire comprises 8 dimensions, e.g. "positivity"). I wanted to assess how they experienced each situation. Now I want to...
3. ### Mixed model for time trend in R package lme4

Hello! I would very much appreciate if anyone could help with my model in lme4. I have a dataset with 100 persons, specified by ID. Each of them was assessed at three time points, indicated by Time, for a specific measurement, called Score. I want to look at each person's trajectory over...
4. ### Two way repeated measures with zeros, non integer values, and non-normal distribution

I would really appreciate some help with a few models I am trying to run. Essentially my data looks at how often a subject was visited depending on treatment and subject type across two years. The data looks like this: Year | Subject | SubjectType | Treatment | BlockNum | NumberOfVisits |...
5. ### Profile Confidence Interval in lmer model .

When I fit lmer model with my data , there is no warning message. But when I tried to construct confidence interval by confint , it shows the following warning message : Warning messages: 1: In FUN(X[[i]], ...) : non-monotonic profile 2: In nextpar(mat, cc, i, delta, lowcut...
6. ### How can I calculate Standard Errors of Variance Estimates .

I want to extract the "standard error" of variance component from the output of "lmer" . In Chapter 12 , Experiments with Random Factors , of the book Design and Analysis of Experiments, written by Douglas C. Montgomery , at the end of the chapter , Example 12-2 is done by SAS . In Example...
7. ### Standard Error of variance component from the output of lmer .

I want to extract the "standard error" of variance component from the output of "lmer" . library(lme4) model <- lmer(Reaction ~ Days + (1|Subject), sleepstudy) The following produces estimates of variance component : s2 <- VarCorr(model)\$Subject It is **NOT**...
8. ### lme model with 3 categorical and 3 continuous variables - output coefficients?

Hi, I have a regression model with: 3 continuous variables 3 categorical variables - taxon= 4 levels --> I get 3 coefficients in the MLM output (OK) - continent= 5 levels --> I get 4 coefficients in the MLM output (OK) - land cover= 2 levels --> I get both 2 coefficients in the MLM...
9. ### Multilevel meta-analysis in R using lme4 and lmer

Dear users, I am running multilevel meta-analyses in R using lme4 and lmer. lmer(effect size ~ -1 + Covariate + (1|StudyID), data = data, weights = weights) My question is – is there a way to calculate confidence intervals that takes into account the fact that some effects are nested...
10. ### Understanding multilevel modeling

I'm trying to learn a bit more about multilevel modeling so I'm going to start this thread here and post questions about the process as I know there are several regulars here who use multilevel models frequently. I know the nmle package exists but I'm mostly trying to figure out how lme4 works...
11. ### Fitting of a linea mixed model

Hello I'm trying to modelize the diving depth of birds according to categorical (sex, age class: adults/subadults) and conitnuous parameters (temperature, salinity). The frequecy distribution of this data looks like this: many many many dives between 0-50m deep, some between 50-100m deep and...
12. ### Model not running when using lme4 - "Error: unexpected symbol..." message returned

Hi all, I have been attempting to run the following model in the lme4 package in R. mod1<-glmer(perc~treatment+region+stage+treatment*stage+region*stage+(tub+aquarium), weights=no start, family=binomial, data=data) But continue to receive the following error message: >...