Have a look at plotweb in the bipartite package. On Sun, Apr 26, 2009 at 6:45 PM, Andreas Christoffersen <achristoffer...@gmail.com> wrote: > Hi there, > > I would like to make a 'bumps chart' like the ones described e.g. > here: http://junkcharts.typepad.com/junk_charts/bumps_chart/ > > Purpose: I'd like to plot the proportion of people in select countries > living for less then one USD pr day in 1994 and 2004 respectively. I > have already constructed a barplot - but I think a bumps chart would > be better > > # The barplot and data > countries <- c("U-lande", "Afrika syd for sahara", "Europa og > Centralasien", "Lantinamerika og Caribien","Mellemøstenog Nordafrika", > "Sydasien","ØStasien og stillehaveet", "Kina", "Brasilien") > poor_1990 <- c(28.7,46.7,0.5,10.2,2.3,43,29.8,33,14) > poor_2004 <- c(18.1,41.1,0.9,8.6,1.5,30.8,9.1,9.9,7.5) > poor <- cbind(poor_1990,poor_2004) > rownames(poor) <- countries > oldpar <- par(no.readonly=T) > par <- par(mar=c(15,5,5,1)) > png("poor.png") > par <- par(mar=c(15,5,5,1)) > barplot(t(poor[order(poor[,2]),]),beside=T,col=c(1,2),las=3,ylab="% > poor",main="Percent living for < 1 USD per day (1993 > prices)",ylim=c(0,50)) > legend("topleft",c("1990","2004"),fill=c(1,2),bty="n") > par(oldpar) > dev.off() > > I Guess I need to start with an normal plot? Something like the below > - but there is a loong way to go... > > # A meager start - how to finish my bumps chart > plot(c(rep(1,9),rep(2,9)),c(fattig_1990,fattig_2004),type="b",ann=F) > > Thankfull for any help. > > Cheers. > > Andreas > > ______________________________________________ > 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. >
______________________________________________ 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.