[R] A panel of contour plots through a iteration process

Thu Nov 8 17:12:15 CET 2012

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
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-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Namens Jose Iparraguirre
Verzonden: donderdag 8 november 2012 16:52
Aan: Loukia Spineli; r-help at r-project.org 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: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Loukia Spineli
Sent: 08 November 2012 13:11
To: r-help at r-project.org 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

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