I think this is a relatively easy question for someone who knows what they 
are doing.


In interpreting the following model:

 
lmer(cover ~ ns(AdjDD,df=3,intercept=FALSE ) + I(Year>1995) * 
factor(VegType) + (1|Plot)

The model summary uses a VegType as a reference category (and, therefore, 
my results are with respect to that particular category).
What is the easiest way to modify the following model so that I could make 
interpretations independent of the reference category?

For the fixed effects, I have the following model :
E (%cover| VegType,Year, Plot) = b0+ b1spline1 + b2spline2 +b3spline3 
+b4Year +b5 VTMSWG +b6VTRSDT+  b7VTSTTT + b8VTMSWG* Y  + b9VTRSDT *Y +  
b10VTSTTT *Y) 

Thank you,
Anna-Maire
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