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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
30,450 questions
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General advice for interpreting DHARMa quantile plots
I could use some help interpreting DHARMa quantile plots. I understand that, ideally, the three quantile lines should be both horizontal and parallel and that deviations from this ideal could indicate ...
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1
answer
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Is anova() on an lmer model a valid test before pairwise comparisons in a dataset with incomplete information from all participants?
I am at the beginning of my statistics journey and am trying to understand if my reasoning makes sense and what key considerations I am missing.
The study design
In a fictive scenario where a RCT was ...
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Prediction for glmm (correcting for bias due to jensens inequality?)
I am trying to decide on the best method for producing model predictions (for graphing) from my generalized linear mixed effects model. I am interested in getting marginal predictions (i.e., what the ...
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Quantile deviations detected gamma GLM
I am trying to apply a Gamma GLM to a dataset. The main issue is the lack of fit for quantile deviations although no other problems are detected. I have read similar posts without a conclusive answer.
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Can bootstrap confidence intervals be illogical?
This was something I thought about:
If you have data from a coin with a very low probability of success, it is possible that the Wald confidence interval can contain negative numbers and be illogical?...
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Is there a way to account for the effect of a combined dataset in a Cox proportional hazards model?
I ran a survival study with two species in 3 different temperatures with 2 different treatments in batches of 5-6 (i.e., species 1 was tested in treatment 1 at temperature 1 two or three times). I ...
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Predicting population-level effects of a hierarchical GAM with both a global smoother and group-level factor-smooth interaction term
I am having difficulty making population-level model predictions on the response scale for a hierarchical binomial generalized additive model (GAM) that contains both a "global smoother" ...
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Which type of anova should I use for unbalanced data (different number of replicates for treatments)?
I have three treatments: T1, T2, and T3. T1 and T2 each have 3 replicates, while T3 has only 2 replicates. I did continuous measurements (V1) over a month, so I am looking for the effect of ...
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Linear mixed model or Generalized linear mixed model
I have a dataset with repeated measures, different individuals each have six appointments in total. The outcome variable is continuous. I want to know if I should use a GLMM or a LMM to see what the ...
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1
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AIC prefers full model, interaction not significant — which to use for emmeans
I am using R.
I have the following data set:
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PLM, LM, and FEOLS Giving Different Coefficient Estimates when weights are added. How may PLM be using weights differently?
Originally, I was attempting to add more robust SEs for my PLM model with weights. So, I switched my model over to FEOLS, but noticed it was giving a different estimate than PLM. Taking the weights ...
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Cox proportional hazards model - overlap in survival probability error
In certain graphs produced by my Cox proportional hazards model, I see strange overlaps, pictured below. They don't make sense as I know the survival probability of Group 2 (brown) cannot include 100% ...
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4
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Should I use lme4::lmer or nlme::lme for a repeated measures frog phonotaxis experiment with low between-subject variance?
I'm analyzing data from a frog phonotaxis experiment where I tested 17 females, each undergoing two trials. In each trial, a female was placed in a choice arena and exposed to two different acoustic ...
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Why do my extracted 'mvabund::anova.manyglm' p.uni results produce p values =1?
I am running a complex model using the mvabund package in R. My dataset is a large multivariate microbial dataset. I have reduced the dataframe by removing those ...
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How to perform repeated measures analysis with left-censored data using Kaplan-Meier in R? [closed]
I am conducting a simulation study involving left-censored continuous data. For each subject, I have repeated measurements at three different time points.]
My goal is to apply Kaplan-Meier estimation ...
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