Hi:
On Fri, Oct 15, 2010 at 4:29 AM, Anh Nguyen wrote:
> Thank you for the very helpful tips. Just one last question:
> - In the lattice method, how can I plot TIME vs OBSconcentration and TIME
> vs PREDconcentration in one graph (per individual)? You said "in lattice
> you would replace 'smooth
On Fri, Oct 15, 2010 at 7:29 AM, Anh Nguyen wrote:
> Thank you for the very helpful tips. Just one last question:
> - In the lattice method, how can I plot TIME vs OBSconcentration and TIME vs
> PREDconcentration in one graph (per individual)? You said "in lattice you
> would replace 'smooth' by '
Thank you for the very helpful tips. Just one last question:
- In the lattice method, how can I plot TIME vs OBSconcentration and TIME vs
PREDconcentration in one graph (per individual)? You said "in lattice you
would replace 'smooth' by 'l' in the type = argument of xyplot()" that just
means now t
I tried that too, it doesn't work because of the way I wrote the code.
Listing y as free or not giving it a limit makes the scale go from -0.5 to
0.5, which is useless. This is what my code looks like now (it's S-Plus
code, btw)-- I'll try reading up on lattices in R to see if I can come up
with so
Hi:
To get the plots precisely as you have given them in your png file, you're
most likely going to have to use base graphics, especially if you want a
separate legend in each panel. Packages ggplot2 and lattice have more
structured ways of constructing such graphs, so you give up a bit of freedom
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
package
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 n
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
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
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
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