R help - Jan 2009 - Please Help for Augmented Prediction Plot

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)" ?  many many thanks Chunhao
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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