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Hello, list. I have a question about error bars on barplotted means of data that has been analyzed with mixed effects models. Mixed effects models allow us to simultaneously model variance from multiple random-effects sources (such as Subjects and...

I don't know if this is causing the problem you're seeing, but A*B expands to A + B + A:B, so your model right now is R ~ A + B + A + B + A:B + (1|S). On Thu, Sep...

Hi there. I have a behavioral dataset that has a structure like this: dat <- data.frame(Subject = rep(c('John', 'Mary', 'Roberta'), each=2), Behavior = rep(c('A', 'B'), 3), Count = c(0, 4, 1, 3, 2, 6)) I fit...

Francesco, To answer the question you originally asked as I understand it: the interaction test would be telling you whether the difference you find between tasks varies between groups. The result of the interaction test is not information about whether...

Hi Thierry. Thank you for the code. I believe I understood the re.quant output based on your description. Can you help me understand how to interpret the charts your code produced? The partial summary was from glm.1. Here...

Hi PJ. An example: library(lme4) dat <- expand.grid(Condition = c('A', 'B'), Subject = 1:10, Item = c('popcorn', 'butter', 'rosemary', 'salt', 'yeast')) dat$Subject <- factor(dat$Subject) size <- nrow(dat) dat$DV <- numeric(size) dat[dat$Condition == 'A', 'DV...