for solving differential equations.
Btw, why use daspk ? It is really meant for solving DAEs, not ODEs.
lsoda or lsode or vode might be a better choice.
Cheers,
Karline
insun nam wrote:
>
> Dear All,
>
> I like to simulate a physiologically based pharmacokinetics model using R
&g
)
y.limits <- c(-2, 2)
slice3D(x,y,z, colvar=p, xs=0, ys=c(0, 4), zs=NULL, scale=F,
ticktype="detailed", plot = FALSE)
plotdev(xlim=x.limits, ylim=y.limits)
This should work.
Karline
Message: 25
Date: Wed, 6 Aug 2014 23:21:04 +
From: "Waichler, Scott R"
To: "R. H
<- ramp.col(c("blue", "red"))
image2D(z = volcano, col = Col, xlab = "", contour = TRUE,
colkey = list(side = 1, length = 0.5))
Hope it helps,
Karline Soetaert
>Original Message: 1
>Date: Wed, 17 Sep 2014 01:53:05 -0700
>From: "Thiago V. dos San
... and maybe she can find some inspiration at this website:
http://www.rforscience.com/rpackages/visualisation/oceanview/
Karline
-Original Message-
From: Duncan Murdoch [mailto:murdoch.dun...@gmail.com]
Sent: donderdag 13 oktober 2016 15:20
To: Thomas Adams ; David Winsemius
Cc: r
Try:
openplotmat()
pos <- coordinates(c(2,4),hor=FALSE)
Parr<- treearrow(from=pos[1:2,],to=pos[3:6,],arr.side=1:2,path="V")
text(Parr,"hello")
dr. Karline Soetaert
NIOO - CEME
PO box 140
4400 AC Yerseke
the Netherlands
Phone: ++ 31 113 577487
fax: ++ 31
Robert,
It is a windows thing:
Try:
par(mfrow=c(2,2))
for(i in 1:4)plot(i)
par(mfrow=c(1,1))
and then scroll/resize.
Karline
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http
.frame(M)
arr.col[2,1]<-"red"
arr.col[4,2]<-"black"
arr.col[3,4]<-"darkgreen"
arr.col[1,3]<-"orange"
pp<-plotmat(M,pos=c(1,2,1),curve=0.2,name=letters[1:4],lwd=1,box.lwd=2,
cex.txt=0.8,arr.type="triang
to clean the
frame (new=TRUE)
c. create the plot
d. restore the size of the original figure (0,1,0,1)
something like this:
pos1 <- pp$comp[1,]
fig <- c(pos1[1]+0.2,pos1[1]+0.4,pos1[2]-0.1,pos1[2]+0.1)
par(new=TRUE,fig=fig)
plot(1,2,pch=16,ylab="",xlab="")
par(
Rajesh,
To change the margins, use par(mar)::
M <- matrix(nrow=4,ncol=4,data=0)
M[2,1]<-1 ;M[4,2]<-2;M[3,4]<-3;M[1,3]<-4
par (mar=c(0,0,0,0))
pp<-plotmat(M,pos=c(1,2,1),curve=0.)
Karline
[[alternative HTML version deleted]]
__
me(M)
arr.col[2,1]<-"red"
arr.col[4,2]<-"black"
arr.col[3,4]<-"darkgreen"
arr.col[1,3]<-"orange"
pp<-plotmat(M,pos=c(1,2,1),curve=0.2,name=letters[1:4],lwd=1,box.lwd=2,
cex.txt=0.8,arr.type="trian
F<- f.rhs[1:2]
H<-f.rhs[-(1:2)]
require(limSolve)
lsei(E=E,F=F,G=G,H=H)
xranges(E=E,F=F,G=G,H=H)
xs <- xsample(E=E,F=F,G=G,H=H)
pairs(xs$X)
Hope this helps,
Karline
[[alternative HTML version deleted]]
__
R-help@r-project.org m
-order DEs.
For use in deSolve, you need to rewrite the 4th order DE as a set of 4
first-order equations:
d''''y /dt = f(t,y) then becomes:
dy1 = y2; dy2 = y3; dy3 = y4; dy4 = f(t,y)
Hope this helps,
Karline
Message: 32
Date: Sun, 28 Nov 2010 22:47:59 +0100
From: Yanik
ere is a special R-mailinglist that deals with this type
of problems:
r-sig-dynamic-mod...@r-project.org
Hope this helps,
Karline
-
Original message:
Date: Sat, 1 Oct 2011 20:20:10 -0700 (PDT)
From: Vince
To: r-help@r-project.org
Subject: [R] deSolve - Function daspk on
o solve
problems of the order 1e5 variables with these functions.
If it is not a PDE, and it cannot be solved with adams or ode45, then you might
try method = "lsodes" which will select a sparse solver.
Hope this helps,
Karline
By the way, there exists a mailing list, called R-sig-d
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