Hello Dennis, That's a very good suggestion. I've attached a template here as a .png file, I hope you can view it. This is what I've managed to achieve in S-Plus (we use S-Plus at work but I also use R because there's some very good R packages for PK data that I want to take advantage of that is not available in S-Plus). The only problem with this is, unfortunately, I cannot figure out how make the scale non-uniform and I hope to fix that. My data looks like this:
ID Dose Time Conc Pred ... 1 5 0 0 0 1 5 0.5 6 8 1 5 1 16 20 ... 1 7 0 0 0 1 7 0.5 10 12 1 7 1 20 19 ... 1 10 3 60 55 ... 2 5 12 4 2 ... ect I don't care if it's ggplot or something else as long as it looks like how I envisioned. On Fri, Oct 15, 2010 at 12:22 AM, Dennis Murphy <djmu...@gmail.com> wrote: > I don't recall that you submitted a reproducible example to use as a > template for assistance. Ista was kind enough to offer a potential solution, > but it was an abstraction based on the limited information provided in your > previous mail. If you need help, please provide an example data set that > illustrates the problems you're encountering and what you hope to achieve - > your chances of a successful resolution will be much higher when you do. > BTW, there's a dedicated newsgroup for ggplot2: > look for the mailing list link at http://had.co.nz/ggplot2/ > > HTH, > Dennis > > > On Thu, Oct 14, 2010 at 10:02 PM, Anh Nguyen <eataban...@gmail.com> wrote: > >> I found 2 problems with this method: >> >> - There is only one line for predicted dose at 5 mg. >> - The different doses are 5, 7, and 10 mg but somehow there is a legend >> for >> 5,6,7,8,9,10. >> - Is there a way to make the line smooth? >> - The plots are also getting a little crowded and I was wondering if there >> a >> way to split it into 2 or more pages? >> >> Thanks for your help. >> >> On Thu, Oct 14, 2010 at 8:09 PM, Ista Zahn <iz...@psych.rochester.edu >> >wrote: >> >> > 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. >> > > >> > > ______________________________________________ >> > > 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. >> > > >> > >> > >> > >> > -- >> > Ista Zahn >> > Graduate student >> > University of Rochester >> > Department of Clinical and Social Psychology >> > http://yourpsyche.org >> > >> >> [[alternative HTML version deleted]] >> >> >> ______________________________________________ >> 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. >> > >
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______________________________________________ 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.
