Re: [R] Kite Diagrams
On 08/05/2013 04:45 PM, Ruth Chan wrote: I would like to teach my students to do a simple kite diagram with some simulated data. ... I would like to use Altitude as a proxy for distance and I have 2 readings for each altitude: one to the supposed right and one to the supposed left of the transect. ... And I’m now at a loss…would anyone be able to help? Hi Ruth, The kiteChart function displays a series of numeric values as widths of a polygon along some numeric dimension. You can get a kite chart of your data like this: forest.data-read.csv(forest.csv) forestmat-matrix(forest.data$Total,nrow=2,byrow=TRUE) forestmat [,1] [,2] [,3] [,4] [,5] [,6] [1,] 827 917 946 516 775 777 [2,] 22 41 52 65 78 82 kiteChart(forestmat,timelabels=forest.data$Altitude.percent[1:6])) but I don't think that is what you want. The code below shows my guess at what you want, a comparison of Total by the altitude variable, using the mean of the two observations for each forest type and altitude percent. forestdat-matrix(forest.data[,2:3],ncol=2) colnames(forestdat)-c(Altitude.percent,Total) forest.total-matrix(c(by(forestdat[1:6,2],forestdat[1:6,1],mean), by(forestdat[7:12,2],forestdat[7:12,1],mean)),nrow=2,byrow=TRUE) forest.total [,1] [,2] [,3] [1,] 776 731.0 872.0 [2,] 80 58.5 31.5 timepos-c(1,10,20) kiteChart(forest.total,timelabels=timepos, varlabels=c(Primary,Secondary),xlab=Altitude percent, ylab=Total,main=Forest kite chart) Jim __ R-help@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.
Re: [R] Kite diagrams
On 07/09/2010 07:23 AM, Graham Smith wrote: I asked the same question on R-sig-eco, and Ben Bolker provided this solution, which as I assume this should show up in a search I copy here. However, if someone can come up with a single function, that would be good. Hi Graham, library(plotrix) kiteChart(t(X)) Jim __ R-help@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.
Re: [R] Kite diagrams
Jim, This is very good news, not so much for me, as I don't use them, but I have colleagues who do, and its an expected graphic in student assignments. So I have passed on the information. So many thanks for adding this, I a sure many people will find it useful. Graham On 9 July 2010 09:41, Jim Lemon j...@bitwrit.com.au wrote: On 07/09/2010 07:23 AM, Graham Smith wrote: I asked the same question on R-sig-eco, and Ben Bolker provided this solution, which as I assume this should show up in a search I copy here. However, if someone can come up with a single function, that would be good. Hi Graham, library(plotrix) kiteChart(t(X)) Jim __ R-help@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.
Re: [R] Kite diagrams
I asked the same question on R-sig-eco, and Ben Bolker provided this solution, which as I assume this should show up in a search I copy here. However, if someone can come up with a single function, that would be good. -- I don't do kite diagrams at all, but here are some quick dirty solutions. ## inspired by violin plots in: ## http://learnr.wordpress.com/2009/07/02/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-3/ X - read.table(textConnection(dist spA spB spC 0 0 0 0 5 0 4 0 10 0 20 0 15 5 30 0 20 10 20 0 25 20 8 4 30 15 2 5 35 5 0 10 40 0 0 20 45 0 0 10 50 0 0 5 55 0 0 0),header=TRUE) library(reshape) mX - melt(X,id.var=dist) names(mX)[2:3] - c(species,abundance) mX$fabund - cut(mX$abundance, breaks=c(-0.01,0,5,20,100), labels=c(Abs,Rare,Common,Abundant)) library(ggplot2) p - ggplot(mX, aes(x=dist)) ## plot by proportion p + geom_ribbon(aes(ymax = -abundance, ymin = +abundance))+ facet_grid(species ~ .) ## plot by abundance category p + geom_ribbon(aes(ymax = as.numeric(fabund)-1, ymin = -(as.numeric(fabund)-1)))+ facet_grid(species ~ .) -- Ben Bolker Associate professor, Biology Dep't, Univ. of Florida bol...@ufl.edu / people.biology.ufl.edu/bolker GPG key: people.biology.ufl.edu/bolker/benbolker-publickey.asc Graham __ R-help@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.
Re: [R] Kite diagrams
Hi Par, I am trying to do the exact same thing with my class, I would like to use R too, as well as get them to draw it out. I have tried to follow the suggestions but with no luck. If you did get round to sorting the code I wondered if you'd be so kind as to let me into the secret on how to do it?! Best wishes, Ross -- View this message in context: http://r.789695.n4.nabble.com/Kite-diagrams-tp791596p2276007.html Sent from the R help mailing list archive at Nabble.com. __ R-help@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.
Re: [R] Kite diagrams
On 07/02/2010 04:06 PM, RCulloch wrote: Hi Par, I am trying to do the exact same thing with my class, I would like to use R too, as well as get them to draw it out. I have tried to follow the suggestions but with no luck. If you did get round to sorting the code I wondered if you'd be so kind as to let me into the secret on how to do it?! This looks very much like the example I sent in for the request: Re: [R] Stacked Histogram, multiple lines for dates of news stories? I should have a function written to do that plot this week, so I'll post it on the list if anyone else is interested. Jim __ R-help@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.
