Cristian Carranza <cristiancarranza_1 <at> hotmail.com>
writes:> After fitting a mixed effects model to repeated measurements data set, and
after several unsuccessful> atempts to make a simple plot of the confidence interval for the fitted
model,
I gave up and now I am asking> for help in this useful list.
>
> Could anyone be so kind to give me some code lines in order to make a plot
of
the fitted equation and the> correspondent confidence interval?
The fitted equation is simple: use predict in its variations. For the
"confidence interval", most people on the list will ask back what it
means. But
I know my colleagues, they or their reviewers insist on having error bar in the
graphics, and don't care about the interpretation.
Dimitri has given an approach that could be used to produce some
reviewer-satisfaction plots limited borborygmy.
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/118174.html
Note that his method is meant to estimate well-defined confidence intervals for
the coefficients, but you can use the profiled fits and compute the
"confidence
intervals" at the data points. Alternatively, you could use mcmc to get a
range
of curves for averaging.
Dieter