All Questions
9 questions
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37
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Absence of normality of residuals (lmer)
I’m running an analysis on Y coordinates of mouse clicks on a scale. These Y coordinates range from -200 to +200. I have created a new data frame on R and I have deleted data points that exceed these ...
3
votes
1
answer
1k
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Binomial GLMM with proportions and categorical predictors
Study background
My research question looks at the effect of age group (AgeGr) on gazing. Each infant was observed for 1h and signals with gazing (...
1
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0
answers
311
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What to do if I find residuals (=deviance) patterns after applying a GAMMA GLM in R?
I have activity data for 6 individuals (ID) obtained using two different formulas (RMS.X16 and ...
0
votes
1
answer
249
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GLM - Interpret residuals vs fitted plot
I realised a within-subject experiment and each participants went through three conditions and in each condition they performed a series of tasks of their choice (number of tasks is different for each ...
0
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0
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524
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What should I do when error residuals are not normally distributed in Linear Mixed Effect Model?
I'm trying to analyze some experimental data about animal behaviour and would need some help or advice regarding which non-parametric test should I use.
The variables I have are:
- Response variable:...
1
vote
1
answer
2k
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Binomial GLMM residual pattern
I am trying to complete a binomial GLMM but I don't think that the residuals look right when I compare them to the years. Is this too much of a pattern in the residuals?
My model looks like this: ...
1
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0
answers
597
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Interpreting fitted vs residual plots for binomial general linear mixed effect models?
I am carrying out analysis of a large seedlings dynamics dataset (20258 seedlings from 7467 plots) which I am unable to share for privacy reasons, as it is not my dataset. In this analysis I am trying ...
6
votes
1
answer
3k
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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
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1
answer
3k
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Linear (mixed-effects) model for skewed and negative data / residuals
I am currently fitting a linear mixed-effects model to my data where the outcome variable can have both positive and negative values (integers).
The issue now is, that my outcome data is skewed with ...