I would rather use facet_wrap() instead of multiplot()
Just combine all your data in one data.frame and make sure that you have a
variable indication the iteration.
library(reshape2)
volcano3d <- melt(volcano)
names(volcano3d) = c("x", "y", "z")
volcano3d <- merge(volcano3d, data.frame(Iteration = 1:4))
volcano3d$z <- rnorm(nrow(volcano3d), mean = volcano3d$z, sd = 2)
library(ggplot2)
ggplot(volcano3d, aes(x, y, z = z)) + stat_contour(aes(colour = ..level..)) +
facet_wrap(~Iteration)
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
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~ Sir Ronald Aylmer Fisher
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-----Oorspronkelijk bericht-----
Van: [email protected] [mailto:[email protected]] Namens
Jose Iparraguirre
Verzonden: donderdag 8 november 2012 16:52
Aan: Loukia Spineli; [email protected] help
Onderwerp: Re: [R] A panel of contour plots through a iteration process
Hi Loukia,
I think the problem stems from the fact that the filled.contour "uses the
layout function and so is restricted to a full page display" as its
documentation reads. And if you look at the documentation of the layout
function, it says that it is "totally incompatible with the other mechanisms
for arranging plots on a device: par(mfrow), par(mfcol)".
However, you can use the ggplot2 package along with the function multiplot,
which you can find here:
http://wiki.stdout.org/rcookbook/Graphs/Multiple%20graphs%20on%20one%20page%20(ggplot2)/
It works fine with contour plots.
You need to create your 11 contour plots first.
For example, to keep things simple, let's create 11 equal contour plots:
> library(reshape2)
> volcano3d = melt(volcano)
> names(volcano3d) = c("x", "y", "z")
> library(ggplot2)
> p1 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p2 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p3= ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p4 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p5 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p6 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p7 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p8 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p9 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p10 = ggplot(volcano3d, aes(x, y, z = z))+
+ stat_contour(aes(colour = ..level..))
> p11 = ggplot(volcano3d, aes(x, y, z = z))+ stat_contour(aes(colour =
> ..level..))
and then run the multiplot function:
> multiplot(p1, p2, p3, p4, p5,p6,p7,p8,p9,p10,p11, cols=2) # the plots will be
> displayed along two columns.
With so many plots in one page, you'll need to work on the individual margins
of each plot and the size of the legends, etc, though!
Hope this helps,
José
José Iparraguirre
Chief Economist
Age UK
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-----Original Message-----
From: [email protected] [mailto:[email protected]] On
Behalf Of Loukia Spineli
Sent: 08 November 2012 13:11
To: [email protected] help
Subject: [R] A panel of contour plots through a iteration process
Dear all,
as you can see from the code I want to create *a panel of 11 contour plots
through a iteration process*. I found a thread that address the issue of
plotting many contour.plots in the same device, but it does not address my
problem!
I emphasize that the 11 contour plots must be appeared in the same device
through an iteration process and NOT individually!
par(mfrow=c(4,3)) # I want them to appear like a 4*3 matrix for(i in 1:11){
p[i]]<-matrix(p[[i]],nrow=l10ncol=length10,byrow=T)
filled.contour(p[i]], etc,etc...)
}
par(mfrow=c(1,1))
Any suggestions would be really appreciated! Thank you very much in advance!!
All the best,
Loukia
[[alternative HTML version deleted]]
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