GLMM problem - Error in terms.formula(formula, data = data) : invalid model formula in ExtractVars

[Laraeaf]

Hi guys,

I have been trying to run a GLMM for the past few hours, and continuously get the error message: Error in terms.formula(formula, data = data) : invalid model formula in ExtractVars. I've looked up help forums on this but haven't had any luck. All data in my spreadsheet is quantiative and there are no random symbols. I've been entering this code:

KimGLMM <- glmm(withmate ~ 0 + time, random = list(~ 0 + 1, ~ 0 + 2, ~ 0 + 3), varcomps.names = c("Pre", "During", "Post"), data = Kim2, family.glmm = poisson.glmm, m = 10^4, debug = TRUE, cluster = clust)

If anyone is familiar with running GLMMs, could you please help me out? On another note, if someone can help me run this GLMM to completion and walk me through how to do it, I'm more than happy to offer payment for your help and time.

Thank you!

Lara

[andresrcs]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

Also, please have in mind that this is not the right place for this kind of requests.

@Laraeaf

if someone can help me run this GLMM to completion and walk me through how to do it, I'm more than happy to offer payment for your help and time.