Oh thanks Thierry, the ggplot produces very nice graphics. Really amazing. I'll read more about it.
Thanks, best regards On Wed, Jun 30, 2010 at 8:56 AM, ONKELINX, Thierry <thierry.onkel...@inbo.be > wrote: > Or you could use ggplot2 > > library(ggplot2) > Dataset <- read.csv("file.csv", header=TRUE) > ggplot(Dataset, aes(x = YEAR, y = CASES, colour = AREA)) + geom_line() > > HTH, > > Thierry > > > ------------------------------------------------------------------------ > ---- > ir. Thierry Onkelinx > Instituut voor natuur- en bosonderzoek > team Biometrie & Kwaliteitszorg > Gaverstraat 4 > 9500 Geraardsbergen > Belgium > > Research Institute for Nature and Forest > team Biometrics & Quality Assurance > Gaverstraat 4 > 9500 Geraardsbergen > Belgium > > tel. + 32 54/436 185 > thierry.onkel...@inbo.be > 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: r-help-boun...@r-project.org > > [mailto:r-help-boun...@r-project.org] Namens Jim Lemon > > Verzonden: woensdag 30 juni 2010 13:33 > > Aan: Pablo Cerdeira > > CC: r-help@r-project.org > > Onderwerp: Re: [R] Multiline and grouping in R > > > > On 06/30/2010 10:42 AM, Pablo Cerdeira wrote: > > > Hi All, > > > > > > this is my first mail here. > > > > > > I'm trying to plot a multiline chart grouping values with > > no success. > > > I have read a lot in the official Wiki and also searched > > via Google, > > > but I did not find anything. > > > > > > I'm importing some data from a cvs file. Here is a sample: > > > > > > YEAR,AREA,CASES > > > 1988,CONTRACTS,286 > > > 1988,INTERNATIONAL,189 > > > 1988,FAMILY,385 > > > 1988,TAXATION,177 > > > 1989,CONTRACTS,233 > > > 1989,INTERNATIONAL,431 > > > 1989,FAMILY,425 > > > 1989,TAXATION,201 > > > 1990,CONTRACTS,190 > > > 1990,INTERNATIONAL,302 > > > 1990,FAMILY,303 > > > 1990,TAXATION,209 > > > ... > > > > > > "t<- read.csv("file.csv", header=TRUE)" > > > > > > So far so good... > > > > > > But the problem is: I'd like to create a multiline plot, > > one line per > > > AREA, showing the evolution of the number of CASES per YEAR. > > > > > Hi Pablo, > > Just to give you another option, if your data frame is "pcdf": > > > > library(plotrix) > > newpcmat<-cbind(pcdf$CASES[pcdf$YEAR==1988], > > pcdf$CASES[pcdf$YEAR==1989], > > pcdf$CASES[pcdf$YEAR==1990]) > > colnames(newpcmat)<-c("1988","1989","1990") > > rownames(newpcdf)<-c("CONTRACTS","INTERNATIONAL","FAMILY","TAXATION") > > bumpchart(newpcmat,col=1:4,rank=FALSE, > > main="Number of cases by year") > > boxed.labels(rep(2.5,3),c(400,300,200),c(400,300,200)) > > > > 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. > > > > Druk dit bericht a.u.b. niet onnodig af. > Please do not print this message unnecessarily. > > 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. > -- Pablo de Camargo Cerdeira pablo.cerde...@gmail.com +55 (21) 3799-6065 [[alternative HTML version deleted]] ______________________________________________ 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.