All Questions
33 questions
0
votes
0
answers
33
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Checking assumptions in linear mixed effect model with binary predictor, continuous output
I have a linear mixed effect model I am fitting using lmer:
...
2
votes
0
answers
62
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Why are residuals correlated with prediction when using linear mixed model with low number of observations per group?
I have a database composed of n = 1000 observations of a variable to explain (y), an explanatory variable (x). The observations are grouped according to a variable "group", and I have only ...
- 21
3
votes
1
answer
64
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Model diagnosis in GLMM model of binary outcome variable
I am trying to do a research article on morbidity, which is categorical, i.e., yes or no. I also consider fixed and random effects, given that all of the fixed effect covariates are categorical. Here ...
2
votes
1
answer
63
views
Multilevel modelling in R longitudinal data
I have data from a daily diary study of participants nested in couples. To analyse the data I used lme4 to do multilevel modelling in R to create my models.
After doing this I wanted to check if the ...
- 21
0
votes
0
answers
38
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Resid vs Fitted plot for similar data on lme4 model looks vastly different on similar data. Error: "boundary (singular) fit: see help('isSingular')"
Forgive me if I am missing important information this is my first time posting here. I am trying to build a mixed model to see effects of a management treatment (gridtype) on body condition of certain ...
3
votes
2
answers
1k
views
Kruskal Wallis Test with Random Effect?
I am trying to analyse the effect of season (autumn or summer) on frog sperm cell concentration (continuous, expressed as cells/ml). Because I don't know if there is an effect of male variation I want ...
- 31
1
vote
0
answers
96
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County-level fixed effect model - how to improve the predictive power
I'm doing a linear regression in the hopes of developing a predictive model for fatal drug overdoses at the county level. My data looks like this (note, pc=per-capita), there are 504 total ...
- 141
0
votes
0
answers
395
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Strange residuals vs. fitted values plot for linear mixed model / hierarchical model
I have read a couple of related questions and their answers, but nothing really fits to my specific case.
I have a model like this:
...
- 11
1
vote
1
answer
486
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Residuals in LME models
Good morning everyone!
I have implemented the following lme model in r:
...
- 83
0
votes
0
answers
218
views
Linear mixed effects model: what to do with non-normal residuals?
I am a beginner to mixed effect models and new to this forum so please let me know if I provided the wrong or not enough information. I saw there were some questions earlier about non-normal residuals ...
0
votes
0
answers
859
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Testing the spatiale autocorrelation on the residuals of the mixed-effect logistic regression
I have temporal blocks in my data frame, so I took the effect of time dependency through a random intercept in a glmer model. Now I want to test the spatial autocorrelation in the residuals but I’m ...
- 155
0
votes
0
answers
77
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Linear mixed model dependent variable transformation - is this appropriate
I have basically measured a skin conductance over an experiment. Now my dependent variable is the skin conductance at the time of an event. There are several events (scenario) during the experiment.
I ...
- 77
3
votes
0
answers
113
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Can I validate a residual plot although it has residual patterns if I am not interested in model's coefficients using `lme4::glmer()`?
I am studying how well I can predict the height above ground (km) of an animal (=bird) using a technique (method B) which samples data every certain time-intervals. ...
- 401
5
votes
1
answer
6k
views
glmer with gamma distribution - problem fitting model
I am trying to fit the gamma distribution to my data as the residuals are not normally distributed but it has been much more difficult than I anticipated. The dependent variable is response times and ...
- 526
2
votes
0
answers
448
views
Zero-inflated mixed models and negative trend in residuals
I am trying to fit a mixed model in lme4 using the lmer.
the model form is:
model<- lmer(entropy ~ X1 * X2 + (1| video) + (1| subject), REML = FALSE
entropy ...
- 221
2
votes
1
answer
1k
views
Does nlmer() from lme4 assume normal distribution of residuals and random effects?
I am currently reading this paper
, according to which
Linear mixed-effects (LME)
(Laird & H.Ware, 1982) and nonlinear mixed-effects (NLME) models (Pinheiro & Bates, 2000) are
...
- 23
1
vote
1
answer
349
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LME residual plot returns a huge linear block of residual points
The publicly available data I used
https://content.sph.harvard.edu/fitzmaur/ala2e/cd4.txt
I addressed the unbalanced followup visits by transforming the visit time to the nearest multiple of 8 then ...
- 23
3
votes
2
answers
11k
views
Mixed models with lmer: Residual diagnostics
I fitted a linear mixed model as follows:
fit=lmer(Time.to.obtain.loan ~ borrower.Gender+ borrowing.Amount + (1|borrower.Country) + (1|borrowing.Sector))
The ...
- 715
3
votes
1
answer
1k
views
Interpretation of relationship between residuals and predicted values in a mixed model
I'm using a linear mixed effects model (varying slope + intercept, with glmer from "lme4") to look at the association of the interaction between two categorical predictors (time + X1 - where X1 is a ...
- 51
3
votes
1
answer
3k
views
types of residuals in nlme
I am using the R package nlme to perform a repeated measure analysis. The model call is ...
- 3,712
1
vote
1
answer
1k
views
Gamm residuals patterns: temporal and spatial
I'm trying to fit a GAMM model with this dataset, which can be downloaded here: https://ufile.io/8umh6 .
The dataset consists of 60 pixels sampled in two different areas: BAR and MON, 30 for each one. ...
- 13
3
votes
1
answer
462
views
Strong linear pattern in residuals of random intercept model (simulated unbalanced data)
I am working with an unbalanced data set where most subjects have only 1 observation, but many have >1. When I fit a linear mixed model to these data (random intercept), there is a strong pattern in ...
- 523
0
votes
0
answers
412
views
Non-Normal 'Clustered-looking' Residual Plot Interpretation and Fix in Mixed Model
I have linear mixed effects model looking at EEG recordings hourly for 6 hours over 3 conditions (and each subject undergoes each condition) with N=12 animals. I am using lmer in lme4.
Model:
...
- 1
2
votes
0
answers
710
views
Binned residual plot not good - what to do now?
I'm using lme4 package to run a mixed-effects logistic regression. I have a glmer model, and to assess its goodness of fit I created the binned residual plot. Unfortunately, 95% of the bins are not ...
2
votes
1
answer
686
views
Unusual residual plot of mixed effects model fitted with lme in R (zero-inflated DV?)
I ran a mixed effect model in R by using lme() to analyze the following data (an excerpt is shown in the following):
...
- 370
2
votes
1
answer
2k
views
Residual pattern in mixed model
EDITED
In my master thesis, I'm investigating how the rating of the participants face recognition skill over a period of time of training. There are 15 sessions in total and each session there are 15 ...
- 23
5
votes
1
answer
2k
views
What to do with a lmer model that violates the assumptions of normal residuals?
I have the following lmer model:
...
- 623
2
votes
0
answers
2k
views
Heteroscedasticity and bias shown in residual plots, lme
I have been fitting a linear mixed-effect model. The residual plots are not desirable. I have found many posts telling me the first is heteroscedastic, and the second is biased. But I can't find info ...
- 77
6
votes
1
answer
3k
views
Non-normality of residuals in a negative binomial GLMM
I am testing for the effect of treatment and fish length on the school size of fish. Treatment is a categorical variable with two levels (e.g., treatment A & treatment B). Fish length is ...
1
vote
2
answers
4k
views
How do I identify a particular residual from a mixed-effects model in R?
Here's a plot of my residuals from a mixed-effects model in R (using lme4).
There's one 'outlying' residual with a value of around 35 (index circa 90) that seems anomalous. I don't know if it has any ...
- 311
2
votes
1
answer
443
views
Complex level 1 variance mixed effects models in R
Take this mixed effects model in R:
$y_i = \beta_0 + \beta_1X_{ij} + u_{j} + e_{ij}$
where $u$ is a random effect (level 2 residual) with groups $j$. It is possible to allow the variance of $e_{ij}$ ...
- 14.6k
2
votes
1
answer
3k
views
Use predicted values with or without random part to plot Residuals with binnedplot of a logistic regression in glmer (lme4 package) in R?
Which binnedplot of the glmer should I use to check the model? The residuals against the predicted values without random part(REform=NA) or residuals against the predicted values with random part(...
- 21
10
votes
1
answer
10k
views
How to deal with very s-shaped qq plot in a linear mixed model (lme4 1.0.4)?
I have a dataset in which I have measured a variable (diff) on 38 participants (sub) in two different conditions (...
- 14.4k