Loukia Spineli
2012-Nov-08 13:11 UTC
[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]]
Jose Iparraguirre
2012-Nov-08 15:51 UTC
[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, Jos? Jos? Iparraguirre Chief Economist Age UK T 020 303 31482 E Jose.Iparraguirre at ageuk.org.uk Twitter @jose.iparraguirre at ageuk Tavis House, 1- 6 Tavistock Square London, WC1H 9NB www.ageuk.org.uk?| ageukblog.org.uk | @ageukcampaigns For a copy of our new Economic Monitor and the full Chief Economist's report, visit the Age UK Knowledge Hub http://www.ageuk.org.uk/professional-resources-home/knowledge-hub-evidence-statistics/ For evidence and statistics on the older population, visit the Age UK Knowledge Hub http://www.ageuk.org.uk/professional-resources-home/knowledge-hub-evidence-statistics/ -----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 [[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. 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