Hi
see
http://finzi.psych.upenn.edu/Rhelp10/2010-April/234441.html
The following I think works - its a bit rough - needs improving but saves
closing the device.
xyplot(y2+y1~x,
data=Source,
par.settings = list(grid.pars = list(lineend = "butt")),
#distribute.type=TRUE,
y1 = Source$y1,
y2=Source$y2,
panel = function(x,y1,y2,...){
panel.segments(x,y1, x,y2, gp = gpar(lineend="butt"),
col=c("black"), lwd =20)
}
)
Regards
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
ARMIDALE NSW 2351
Email home: mac...@northnet.com.au
At 06:23 9/08/2010, you wrote:
Hi
On 9/08/2010 7:49 a.m., George Chen wrote:
Hi All,
I am plotting vertical lines using xyplot in lattice and type="h".
It works well, but the problem is that the tops of the lines are convex
and the bottoms are concave.
Is there a way to flatten the tops and bottoms?
You want to control the graphical parameter called "lineend", but I don't
think this is generally made available via trellis.par.set(). Also, trying
to set a default value via the 'grid.pars' argument, or via a viewport
with the 'draw.in' argument doesn't appear to work in this case (the
lineend may be hard coded in the internal code somewhere). The following
code (to be run AFTER your code) does the trick for your example ...
library(grid)
grid.gedit("segments", gp=gpar(lineend="butt"), grep=TRUE)
... though I believe this will also make the ends of the tick marks on the
axes square (not obvious to the naked eye at the default size).
Paul
Here's my code:
Source<-matrix(1:30,10,3)
colnames(Source)<-c("x","y1","y2")
Source<-data.frame(Source)
xyplot(y2+y1~x,
data=Source,
distribute.type=TRUE,
type=c("h","h"),
col=c("black","white"),
lwd=20)
graphics.off()
Thanks.
George Chen
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--
Dr Paul Murrell
Department of Statistics
The University of Auckland
Private Bag 92019
Auckland
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p...@stat.auckland.ac.nz
http://www.stat.auckland.ac.nz/~paul/
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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
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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.