Incorporate a known measurement error into LM/ANOVA
I have a simple linear model, where disp is a response movement in mm,
start is a start movement in mm, and treatment is the area in which the
movement took place:
fit.lm<-(disp~start*treatment,data)
anova(fit.lm)
So far, so straight forward. However, the movement coordinates have a
known measurement error (e.g. + or - 200mm, in both disp and start), and I
don't really know how to incorporate this into my model. Does anybody have
any ideas?
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