I have a dataset containing Newt presence$-$absence variable $(0-1),$ fish $($which are the newt main predator$)$ presence$-$absence variable $(0-1),$ and a list of continuous variables such as many compounds and elements $($compounds known to lead to eutrophication, some ions, some heavy$-$metals$),$ and some categorical variables such as water clarity, conductivity, alkalinity.

The study aims to understand which of these variables is considered a pollutant, if the pollutant affect the newt's presence in these ponds and if the fish presence impacts the newt's presence. I found correlation between a lot of these variables. so did a PCA to decrease multicollinearity. And with a glm I found that the next variables are linked to pollution in ponds that affect negatively the newt's presence negatively : alkalinity, water clarity class, NPOC, As$,$ Cu$,$ Cd$,$ Be$,$ BrO$3.$

The final question is : $"$Is a negative effect of fish on newt occurrence stronger in polluted ponds than in less polluted ponds?" i used a Mixed model $($GLMER$).$ do you think it's the best model for this question? could you give me the exact code? with this model i found out that it has no singificance$.$ however I have a problem: i want to plot the data, but i really dont know what kind of plot would be the best, could ou help me with that? because my glmer showed no significance between the impact of fished on newt presence with pollution and without pollution, what kind of plot would be the best to show this? and could you please give me the exact code for this plot? thank you