Hi,
Assuming the data is in a data.frame named "D", something like
library(ggplot2) # May need install.packages("ggplot2") first
ggplot(D, aes(x=Time, y=Concentration, color=Dose) +
geom_point() +
geom_line(aes(y = PredictedConcentration, group=1)) +
facet_wrap(~ID, scales="free", ncol=3)
should do it.
-Ista
On Thu, Oct 14, 2010 at 10:25 PM, thaliagoo <eataban...@gmail.com> wrote:
>
> Hello-- I have a data for small population who took 1 drug at 3 different
> doses. I have the actual drug concentrations as well as predicted
> concentrations by my model. This is what I'm looking for:
>
> - Time vs Concentration by ID (individual plots), with each subject
> occupying 1 plot -- there is to be 9 plots per page (3x3)
> - Observed drug concentration is made up of points, and predicted drug
> concentration is a curve without points. Points and curve will be the same
> color for each dose. Different doses will have different colors.
> - A legend to specify which color correlates to which dose.
> - Axes should be different for each individual (as some individual will have
> much higher drug concentration than others) and I want to see in detail how
> well predicted data fits observed data.
>
> Any help would be greatly appreciated.
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Time-vs-Concentration-Graphs-by-ID-tp2996431p2996431.html
> Sent from the R help mailing list archive at Nabble.com.
>
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--
Ista Zahn
Graduate student
University of Rochester
Department of Clinical and Social Psychology
http://yourpsyche.org
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