'How to apply a mixed effect model to my dataset

I have a large dataset but for this analysis I am focusing on three columns that includes (a) the concentration of hormone X (ug/g), (b) Body mass (kg) and gender (male/female).

I am just wondering how best to approach the analysis and I thought a mixed effect model was most appropriate. That is, the concentration of hormone X increases with body mass however it is also dependent on gender.

I tried using the code '''code''' model2=lme(conc.hormone~gender*Body.Mass..kg., data=epidemiologythesisdata, na.omit = TRUE) , however I received an error. Is there a way that I can graph the relationship between hormone concentration and body mass with two different lines for gender?

Thanks

r model linear-regression mixed

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'How to apply a mixed effect model to my dataset

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