Hi: On Mon, Aug 8, 2011 at 10:07 AM, bjmjarrett <bjmjarr...@gmail.com> wrote: > Hi all, > > I’m trying to plot confidence intervals for the fitted values I get with my > lme model in R.
Which fitted values? The ones conditional on the random effects or the ones averaged over the random effects? The standard errors of the two sets of predictions are not the same. > > Is there any way I can plot this in the form of a shaded band, like the > output of geom_smooth() in ggplot2 package. ggplot2 seems to use only lm, > glm, gam, loess and rlm as smoothing methods. You can fake it with geom_ribbon(), but it would be convenient to have the endpoints of the CIs in a data frame you could input into ggplot2. HTH, Dennis > > Any advice on the functions I should use to accomplish this will be very > helpful. > > Thank you very much. > > Ben > > -- > View this message in context: > http://r.789695.n4.nabble.com/confidence-interval-as-shaded-band-lme-tp3727645p3727645.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
