Hello,
I am branching out to xyplot for the first time, and I want to layer
several "complex" xyplots. I have tried using panel functions, but so
far I
lose all complexity from the scatterplot. I would like to have the
following things in the plot:
1) A plot of observation vs. modeled individual prediction, by treatment
arm, with each subjects' points connected by lines.
xyplot(Observation,IPrediction,groups=TreatmentArm,type="b",col=c(1,2,3),cex=0.7)
2) Over the former, I would like to add loess smoothers.
I am able to do this in the former with
"type=c("b","smooth"), but I would
like to differentiate the smoothers from the rest of the plot with thicker
line widths, and possibly colors.
3) Also over the former, I would like to add a simple abline(0,1).
I can add this, but not also the loess and treatment arm differences with
"panel=function(x,y){}, but cannot figure out to keep all the former
complexity.
Basically, I am trying to recreated the four basic diagnostic plots from
"xpose4", but adding color for treatment differences.
Any help would be appreciated!
[[alternative HTML version deleted]]
Hello Lib, I think what you're trying to do is very easy using ggplot2 -- easy, that is, once you got your hear around ggplot2 in the first place. The layering you mention is the core feature of ggplot2. Fortunately it is well-documented including a thin, overpriced book from Springer (which I have, and like, but am not sure I should recommend). Good luck, robert On Tue, Feb 25, 2014 at 8:34 PM, Lib Gray <libgray3827@gmail.com> wrote:> Hello, > > I am branching out to xyplot for the first time, and I want to layer > several "complex" xyplots. I have tried using panel functions, but so far I > lose all complexity from the scatterplot. I would like to have the > following things in the plot: > > > 1) A plot of observation vs. modeled individual prediction, by treatment > arm, with each subjects' points connected by lines. > > > xyplot(Observation,IPrediction,groups=TreatmentArm,type="b",col=c(1,2,3),cex=0.7) > > > 2) Over the former, I would like to add loess smoothers. > > I am able to do this in the former with "type=c("b","smooth"), but I would > like to differentiate the smoothers from the rest of the plot with thicker > line widths, and possibly colors. > > > 3) Also over the former, I would like to add a simple abline(0,1). > > I can add this, but not also the loess and treatment arm differences with > "panel=function(x,y){}, but cannot figure out to keep all the former > complexity. > > > > Basically, I am trying to recreated the four basic diagnostic plots from > "xpose4", but adding color for treatment differences. > > Any help would be appreciated! > > [[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. >[[alternative HTML version deleted]]
Hi
Once you want to do extra things from the basic you may have to go into the
panel function
xyplot(Observation,IPrediction,
groups=TreatmentArm,
col = c(1,2,3),
cex=0.7,
panel = function(x,y,...){
panel.xyplot(x,y,...)
panel.loess(x,y,...)
panel.abline(a = 0, b=1)
}
)
For more information see
http://lmdvr.r-forge.r-project.org/figures/figures.html
As you have groups the xyplot arguments may be
panel = panel.superpose,
panel.groups = function(x,y,...){
...
}
You may also be interested in functions in library(latticeExtra) especially
useOuterStrips which avoids double strips by placing the second as a
strip.left
As you have not provided a data set then the information is less
Regards
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: mackay at northnet.com.au
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On
Behalf Of Lib Gray
Sent: Wednesday, 26 February 2014 05:34
To: R help
Subject: [R] Adding lines to complex xyplot
Hello,
I am branching out to xyplot for the first time, and I want to layer
several "complex" xyplots. I have tried using panel functions, but so
far I
lose all complexity from the scatterplot. I would like to have the
following things in the plot:
1) A plot of observation vs. modeled individual prediction, by treatment
arm, with each subjects' points connected by lines.
xyplot(Observation,IPrediction,groups=TreatmentArm,type="b",col=c(1,2,3),cex
=0.7)
2) Over the former, I would like to add loess smoothers.
I am able to do this in the former with
"type=c("b","smooth"), but I would
like to differentiate the smoothers from the rest of the plot with thicker
line widths, and possibly colors.
3) Also over the former, I would like to add a simple abline(0,1).
I can add this, but not also the loess and treatment arm differences with
"panel=function(x,y){}, but cannot figure out to keep all the former
complexity.
Basically, I am trying to recreated the four basic diagnostic plots from
"xpose4", but adding color for treatment differences.
Any help would be appreciated!
[[alternative HTML version deleted]]
______________________________________________
R-help at 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.