All Questions
33 questions
2
votes
0
answers
110
views
confusion about random effects summaries from lme and tab_model SjPlot
I am running into two issues.
As such, I am not confident in my interpretation of summary estimates from the Random Effects part of lme function.
I used the ...
- 577
1
vote
0
answers
94
views
LME4 : How to interpret a lmer model interaction that includes a numerical variable (linear factor)
I have a model that looks into a 3-way interaction between 2 categorical variables (Group: Gr. A, Gr. B, Gr. C; Area: A1, A2, A3) and a numerical linear interaction (Distance from center - ECC: 1, 2, ...
- 11
1
vote
0
answers
169
views
How to interpret linear mixed model with/without random intercept fitted in nlme
I fitted two models using the Oats data from nlme:
...
- 227
1
vote
0
answers
20
views
How to interpret LME Estimates for an interaction effect that contains two continuous variables when one variable can be positive or negative [duplicate]
I am somewhat confused about how best to interpret the results of my logistic mixed effects model.
I have two variables, confidence (continuous, 0-100) and meta-d', which can range from -0.5-2. From ...
0
votes
1
answer
185
views
LMM Results interpretation: Change in results when adding interaction
This question is a follow up question from this one: Controlling for an effect by adding it as covariate in R
Now that I know my model is coherent, I have some issues interpreting my results.
The ...
- 15
3
votes
1
answer
119
views
Mixed model fixed effect interpretation doubt
I'll try to summarize my problem as clearly as possible (and yes, I read a million other threads with similar problems, googled it, and I'm still here begging for help).
I am trying to generate a ...
0
votes
1
answer
1k
views
How do I interpret these linear mixed model coefficients from r?
I've fitted a mixed model with participants and vowels as random factors and language (Tamil and French) as the fixed factor. The dependent variable is durations of prolongations (of a phoneme). The ...
2
votes
1
answer
3k
views
Interpretation of DHARMa residuals for Gamma GLMM
I am fitting a Gamma GLMM (lme4::glmer) with log link and doing model diagnostics with DHARMa. I am getting significant results indicating my residuals are not ...
- 23
3
votes
1
answer
635
views
How do I obtain the estimate for each level of an interaction term containing a categorical variable in LMER R?
I fit a linear mixed effect model to my data with random slopes.
...
- 33
0
votes
0
answers
53
views
Need help interprete lmm result - One fixed effect one random effect
I am investigating the difference in size between pike fry during their emigration period out from their nursery area. My hypothesis is that bigger fry tend to force smaller sized fry to migrate due ...
3
votes
1
answer
420
views
Relevance of Mixed Model Estimates vs. Observed Means [duplicate]
This question is a follow-up to a previous question I asked regarding mixed model effects construction, linked here. It provides some background, although this is a broader question with little to do ...
1
vote
0
answers
502
views
report output GLMER and do contrasts
I'm running a glmer and have a few questions regarding how to interpret the output and how to report it:
it's not clear to me what the main effects are given that they are all in reference to a base ...
6
votes
1
answer
2k
views
Interpretation of binomial GLM (glmer) with interaction and results description
I would like to confirm if I am analysing the results of my model correctly and get some advise if I am missing something!
I conducted the following model to analyse factors that describe the feeding ...
- 377
1
vote
0
answers
85
views
Orthogonal polynomials lme4: Interpretation of significant quadratic predictor when linear predictor is not significant [duplicate]
Summary of Study
Participants worked in pairs to complete three tasks. Periodically throughout the interaction, they evaluated one another across a variety of categories. The primary category of ...
3
votes
1
answer
1k
views
Filling missing data points with lmer prediction model
I'm trying to interpolate the missing data point using lmer model prediction.
Subsetting to a table without any na to the missing column of interest:
...
- 79
0
votes
1
answer
206
views
Interpret contradicting output of lmer model with categorical interaction in R
I am struggling to interpret my output in R. It does not make sense to me.
I first regressed participants' ratings (= value) on manipulations (...
- 1
2
votes
1
answer
199
views
Am I employing and interpreting linear mixed-effects modelling correctly here?
I'm interested in the effect of a categorical variable X (let's say the application of heat) on continuous variable Y (the expression level of a particular gene). I have measurements of Y for samples ...
- 31
0
votes
0
answers
2k
views
How to Interpret the result of generalized linear mixed model?
I ran a generalized linear mixed model using lmer in R, and I'm struggling how to interpret the result. The response variable is a result of 25 consecutive binary choices. The point where I'm stuck is:...
0
votes
0
answers
644
views
Interpretation of a generalised mixed-effects model with family = Poisson in R
While looking for the best analysis of my data, I found linear mixed models. I wanted to use them because I have variance by subject and by item, but I only found tutorials for continuous or binomial ...
- 3
1
vote
1
answer
840
views
How do the random effects relate to the fixed effects in the output from a mixed model?
When I run my output from the lmer function for random effects, I get something like this:
...
- 163
1
vote
2
answers
2k
views
Interpreting output from lmer
This probably has been asked many a times, but I cannot find the answer. I'm trying to interpret the output that I get from lmer.
My code is as follows:
...
- 13
5
votes
0
answers
3k
views
Help with using variables as ordered factors/how to read lme4 output
I am quite new to R and also to LME statistics and would greatly appreciate any help. I am trying to figure out whether I have changed the variables in my study accordingly, and how to read the ...
- 51
1
vote
0
answers
389
views
Model ANOVA or marginal ANOVA for detecting significance
I have recently faced a weird way of finding a significant variable.
Let the model be
$Cholesterol=Sex+FamilyHistory + Sex*FamilyHistory$
where the * denotes the interaction, sex and FamilyHistory ...
- 2,315
1
vote
1
answer
61
views
I need help in interpreting mixed effects output with interaction
I have data structured in a long format which contains repeated values for every participant v001. I run a mixed models analysis with random coefficients to ...
- 65
0
votes
0
answers
201
views
Interpretation of a three-level contrast in a linear mixed-effect model in R
I have a linear mixed effect model in R where my fixed effect consists of three levels: Yes, No and ...
- 211
0
votes
0
answers
150
views
Mixed-effect output of lmer showing more slopes than anticipated
My data consists of a numerical, continuous variable and 4 independent variables, plus two sources of random variation. I am running mixed-effects model in R with the ...
- 211
1
vote
1
answer
1k
views
lmer: comparing model fit and null hypothesis significance testing
We recently used lmer to analyze some reaction time data. There were three fixed effects variables, and the model included their interactions and a fully specified random effects structure. Something ...
- 11
4
votes
0
answers
5k
views
How to interpret lsmeans output for my lmer model?
I've defined an lmer model in R with 2 fixed effects, 2 random intercepts and a random slope:
...
- 41
2
votes
2
answers
251
views
Can mixed models can be used to study longitudinal changes in independent variable?
I have a R dataframe that contains prices and many metadata fields from books published between 1700 and 1800:
...
- 131
2
votes
1
answer
403
views
R: interaction in model output
Let's say you're trying to fit a model to a dataset that includes categorical variables, group (A or B) and treatment (1, 2, 3 or 4).
In R, your model formula would be DV ~ group * treatment (DV ...
- 33
5
votes
1
answer
4k
views
Interpreting a linear mixed effect model's interaction term
I am a biologist and am attempting to analyze the effects of time and location on depth. I was told I needed to use a mixed effects model to account for the random variables of Individual and tracking ...
- 51
3
votes
2
answers
607
views
A good source to understand interaction in LMM?
I would like to know more about interaction in LMM using lmer. Can you recommend me any books, articles, websites?
- 1,345
11
votes
1
answer
23k
views
How to interpret 2-way and 3-way interaction in lmer?
I have a problem with interpreting 2-way and 3-way interactions in lmer. My DV is height which is a continuous variable. All IVs are categorical variables. The first factor is animal, either rat or ...
- 1,345