Thierry, Thanks - I've had a look into using the transparency option, but can't seem to work out where to place it within the command I'm using:
> ggplot(Jan, aes(x = PopDensity, y = Average.Burnt.Area.Fraction, colour = > factor(Urban.Rural> 1.25))) + geom_point() I'm assuming that it has to go in the 'aes' section somewhere, but I seem to be encountering errors wherever I insert it. This doesn't seem to be mentioned in the book, so do you have any tips?! Also, out of interest, what does the 'geom_point()' command do? Thanks again, Steve > Subject: RE: [R] Use of colour in plots > Date: Fri, 19 Sep 2008 10:31:58 +0200 > From: [EMAIL PROTECTED] > To: [EMAIL PROTECTED]; [email protected] > > Steve, > > - Use tranparancy to prevent overplotting: more details on p. 16 of the > ggplot2 book: http://had.co.nz/ggplot2/book/ > - You can choose your own colour with scale_manual(): > http://had.co.nz/ggplot2/scale_manual.html > - The backgroundcolor can be set with ggopt(background.color = "white"): > http://rweb.stat.umn.edu/R/library/ggplot/html/build-options-8a.html > > HTH, > > Thierry > > > ------------------------------------------------------------------------ > ---- > ir. Thierry Onkelinx > Instituut voor natuur- en bosonderzoek / Research Institute for Nature > and Forest > Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, > methodology and quality assurance > Gaverstraat 4 > 9500 Geraardsbergen > Belgium > tel. + 32 54/436 185 > [EMAIL PROTECTED] > www.inbo.be > > To call in the statistician after the experiment is done may be no more > than asking him to perform a post-mortem examination: he may be able to > say what the experiment died of. > ~ Sir Ronald Aylmer Fisher > > The plural of anecdote is not data. > ~ Roger Brinner > > The combination of some data and an aching desire for an answer does not > ensure that a reasonable answer can be extracted from a given body of > data. > ~ John Tukey > > -----Oorspronkelijk bericht----- > Van: Steve Murray [mailto:[EMAIL PROTECTED] > Verzonden: donderdag 18 september 2008 19:08 > Aan: [email protected]; ONKELINX, Thierry; [EMAIL PROTECTED]; > [EMAIL PROTECTED]; [EMAIL PROTECTED] > Onderwerp: RE: [R] Use of colour in plots > > > Dear Thierry and all, > > I've tried out ggplot from the ggplot2 package and it seems to provide > much more favourable results! > > Just a few questions I have after consulting the 'help' file for ggplot. > > Is there a way of preventing overplotting? Some of the red points are > being obscured by the green ones. I've tried changing the size of the > points (using size=1) but this doesn't resolve the issue, as there are > many points quite densely packed in some parts of the graph. > > Also how would I change the colours if I wished (for future plots of a > similar format)? And how do you customise the legend? > > Finally, is there a way of changing the grey background of the graph to > white? > > Sorry for all the questions, it's just that I'm new to the ggplot2 > package and can't find the answers in the help file or on the associated > website! > > Many thanks to anyone who's able to offer any advice. > > Best wishes, > > Steve > > > >> Subject: RE: [R] Use of colour in plots >> Date: Thu, 18 Sep 2008 14:52:57 +0200 >> From: [EMAIL PROTECTED] >> To: [EMAIL PROTECTED]; [EMAIL PROTECTED]; [EMAIL PROTECTED] >> CC: [email protected] >> >> Steve, >> >> Have a look at the ggplot2 package: >> >> library(ggplot2) >> ggplot(Jan, aes(x = PopDensity, y = Average.Burnt.Area.Fraction, > colour >> = factor(Urban.Rural> 1.25))) + geom_point() >> >> >> > ------------------------------------------------------------------------ >> ---- >> ir. Thierry Onkelinx >> Instituut voor natuur- en bosonderzoek / Research Institute for Nature >> and Forest >> Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, >> methodology and quality assurance >> Gaverstraat 4 >> 9500 Geraardsbergen >> Belgium >> tel. + 32 54/436 185 >> [EMAIL PROTECTED] >> www.inbo.be >> >> To call in the statistician after the experiment is done may be no > more >> than asking him to perform a post-mortem examination: he may be able > to >> say what the experiment died of. >> ~ Sir Ronald Aylmer Fisher >> >> The plural of anecdote is not data. >> ~ Roger Brinner >> >> The combination of some data and an aching desire for an answer does > not >> ensure that a reasonable answer can be extracted from a given body of >> data. >> ~ John Tukey >> >> -----Oorspronkelijk bericht----- >> Van: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] >> Namens Steve Murray >> Verzonden: donderdag 18 september 2008 13:58 >> Aan: Petr PIKAL; [EMAIL PROTECTED] >> CC: [email protected] >> Onderwerp: Re: [R] Use of colour in plots >> >> >> Dear all, >> >> I've finally got round to plotting my data and trying to apply colour >> (had some problems with the data which I needed to rectify first!). > I'm >> having trouble however getting the colour to work as I'd hoped, > despite >> the help offered in previous messages. >> >> Just to recap, and with more specifics this time, I have a data frame > as >> follows: >> >> >>> head(Jan) >> Latitude Longitude Urban.Rural Average.Burnt.Area.Fraction PopDensity >> GDP >> 1 -0.25 -49.25 1.000000 9e-05 1.8703090 >> 25694 >> 2 -0.25 -50.25 1.000000 2e-05 2.5962470 >> 32205 >> 3 -0.25 -50.75 1.000000 0e+00 3.5221470 >> 39312 >> 4 -0.25 -51.25 1.042432 5e-06 14.2919000 >> 87685 >> 5 -0.25 -51.75 1.000000 1e-05 0.5721315 >> 11376 >> 6 -0.25 -52.25 1.000000 4e-05 0.7262031 >> 11083 >> Cropland.Area..km.2.grid.cell. >> 1 0.4260444 >> 2 0.3401146 >> 3 0.3036076 >> 4 0.3147694 >> 5 0.2843388 >> 6 0.1734099 >> >> >> I hope to plot Average.Burnt.Area.Fraction (ABAF) against PopDensity >> (which I have done using:> plot(Jan[,3],Jan[,4]) ). >> >> However, the twist is, I hope these points to be coloured according to >> the values of Urban.Rural (but don't want this column to actually be >> plotted). I am looking to do, if Urban.Rural>1.25 then colour the > point >> red, and if it's = To: [EMAIL PROTECTED] >>> CC: [email protected]; [EMAIL PROTECTED] >>> Subject: Re: [R] Use of colour in plots >>> From: [EMAIL PROTECTED] >>> Date: Fri, 5 Sep 2008 16:40:47 +0200 >>> >>> Hi >>> >>> [EMAIL PROTECTED] napsal dne 05.09.2008 16:24:35: >>> >>>> Here is an example doing the same type of thing. >>>> It should be easy enough to adapt. >>>> >>>> Good luck >>>> >>>> =========================================================== >>>> x <- runif(100, 0, 1) >>>> y <- runif(100, 0, 1) >>>> z <- data.frame(x,y) >>>> >>>> plot(subset(z, z$y>=.5), col="red", ylim=c(min(z$y), >>>> max(z$y)), pch=16) >>>> points(subset(z, z$y <=.49), col="blue", pch=16) >>>> =========================================================== >>> >>> Or >>> >>> third <- (z$y>=.5)+1 >>> plot(z, col=third, pch=16) >>> >>> Just tell to col a vector of colors with appropriate use of logical. >>> >>> Or you can use col = as.numeric(some factor), which is quite >> convenient >>> use of factors feature which is not desired in other cases. >>> See warning section of factor help page. >>> >>> Regards >>> >>>> >>>> >>>> --- On Fri, 9/5/08, Steve Murray wrote: >>>> >>>>> From: Steve Murray >>>>> Subject: [R] Use of colour in plots >>>>> To: [email protected] >>>>> Received: Friday, September 5, 2008, 9:10 AM >>>>> Dear all, >>>>> >>>>> I have 3 datasets all of which share the same longitude and >>>>> latitude values, which I'm looking to plot onto a >>>>> scattergraph. The third dataset has values which can only be >>>>> either '1' or '2'. So to incorporate all >>>>> three datasets onto two axes, I'm wondering if I can >>>>> plot dataset1 and dataset2 as normal, but then use colour to >>>>> determine whether these points are either values '1' >>>>> or '2' according to the third dataset. >>>>> >>>>> If so, how would I go about doing this in R, and what >>>>> format would the command take? >>>>> >>>>> Thanks for any help offered, >>>>> >>>>> Steve >>>>> >>>>> ______________________________________________ >>>>> [email protected] 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. >>>> >>>> ______________________________________________ >>>> [email protected] 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. >>> >> >> ______________________________________________ >> [email protected] 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. >> >> Dit bericht en eventuele bijlagen geven enkel de visie van de > schrijver weer en binden het INBO onder geen enkel beding, zolang dit > bericht niet bevestigd is door een geldig ondertekend document. The > views expressed in this message and any annex are purely those of the > writer and may not be regarded as stating an official position of INBO, > as long as the message is not confirmed by a duly signed document. > > _________________________________________________________________ > Discover Bird's Eye View now with Multimap from Live Search > http://clk.atdmt.com/UKM/go/111354026/direct/01/ > > Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer > en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd > is door een geldig ondertekend document. The views expressed in this message > and any annex are purely those of the writer and may not be regarded as > stating an official position of INBO, as long as the message is not confirmed > by a duly signed document. _________________________________________________________________ Win New York holidays with Kellogg’s & Live Search ______________________________________________ [email protected] 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.

