Hi all,
I used plotlmer.func, in the package lmerConvenienceFunctions to build a graphical representation of my model. I simply want to ask what the "verbose=TRUE" parameter tell me.

plotLMER.fnc(model, xlabel = NA, xlabs = NA, ylabel = NA,
ylimit = NA, ilabel = NA, fun = NA, pred = NA, control = NA,
ranefs = NA, n = 100, intr = NA,lockYlim = TRUE, addlines = FALSE,
withList = FALSE, cexsize = 0.5, linecolor = 1,
addToExistingPlot = FALSE, verbose = TRUE, ...)

the explanation of the parameter: verbose: if TRUE (default), effect sizes and default transformations are reported.

I want to know how this effect sizes is calculated and precisely what is referred to and what it can say for my data.
In my analysis I have an interaction between two groups and a continuous variable.
I have a statistical difference for the factor group x variable but I want to know if this information of the effect size can say me more about the different trend of my groups and if it can be useful in the report of the experiment.

Thanks
Tania

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