Hi all, 

I've had troubles calculating adjusted means by hand. My model: y =
f(X1,X2) where X1 and X2 are dummy variables. If I ran a linear model
with an interaction term, how do I calculate the adjusted means by
hand? Should I plug in the "mean" of the dummy variable, which would
be a proportion, in order to get the overall mean accross groups? 
That is, if X1 is experience (1 = yes) and X2 is group belonging (X1 =
0 control), how do I get the adjusted mean for people whose experience
is 1, independently of being program or control?

Thanks!!

MCP.
.
.
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