Chun-Hao Tu <tch28 <at> hotmail.com> writes: > Hi R users,I have a question about augmented prediction plot (?augPred). > The covariate of my data set is c(0, 0.01, 0.1, 1, 10, 100, 1000) and I > have fitted a nonlinear mixed effects model. I use > plot(augPred(out.nlme....)) to get the augmented prediction plot. However, > because the scale of the covariate is too large thus I am not able to see > the detail difference at c(0,0.01, 0.1, and 1). Could anyone > tell me how to enlarge the plot at that range "c(0,0.01, 0.1, and 1)" ?
Very, very likely, if you have such a large range (frequently a drug dose), you should think of doing a (shifted log?) transform of your data initially. Try to do a residual plot plot(result(nlme)) might work first to check for this. Maybe even plotting (0.001,0.01,...) would be more useful. Otherwise, you could always use pred() manually and do a trellis plot with some (log+x) transformed data. Dieter ______________________________________________ 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.
