On Oct 15, 2010, at 3:46 AM, Anh Nguyen wrote:
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.
That would be easy if your efforts which I have not yet seen were in
lattice. If htat were the case then adding this would solve you problem:
scales=list(y=list(relation="free")
--
David
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
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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
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
<ex.png>______________________________________________
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.
David Winsemius, MD
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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