Can anyone help me with producing a confidence interval plot using R, I have some code but it has confused me as I have different a number of variables and no factors. I want to show the probability of predicting something and am unsure how to do this with a dataset of 11 variables but only 7 were significant when I ran my GLMM.

Also, I have a variable with several huge outliers which important for my model, I have tried to log10 transform the variable data to see if it is a better fit, can anyone suggest anything else I could try please?

A handy way to supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where mydata is your data. Copy the output and paste it here.

Whenever that happens to me, I try to step back from the how questions to focus on the what questions. With a glm, it’s identifying the f(x) = y components. Here, x is the model, and y is what you want to know about the model. What actually is the value that the confidence interval brackets? What does the value represent in the model, in the data, in the world?