There is a function, gap.barplot for doing that in the plotrix package, but I was not happy with the way the result looked, so I started out making my own way using subplot in the TeachingDemos library. I have gutted the two functions I actually used from TeachingDemos to just get the functionality I need for this plot:
# dataset: data=data.frame(R=c(120,11),U=c(32,1),C=c(12,3),G=c(4,0),J=c(6,0),I=c(3,2),N=c(4,0)) # I want to plot the lower values up to 55, then a split to 95 for the # last top. This should make it clear which is the highest, without # drowning out the other data. # I want the split to be approx 5% of the scale, # as I am to plot the ranges 0 - 55 and 95 - 140, in total 10 decades, lower=c(0,55) upper=c(95,140) # This is 10 decades. I multiply that with 2 and add 5% and get 21 units on the outer # Y axis: y_outer=21 lowspan=c(0,11) topspan=c(lowspan[2]+1,21) ylabel="Number of something" legendtext=c('Group 1','Group 2') cnvrt.coords <-function(x,y=NULL){ # Stolen from the teachingDemos library, simplified for this use case xy <- xy.coords(x,y, recycle=TRUE) cusr <- par('usr') cplt <- par('plt') plt <- list() plt$x <- (xy$x-cusr[1])/(cusr[2]-cusr[1]) plt$y <- (xy$y-cusr[3])/(cusr[4]-cusr[3]) fig <- list() fig$x <- plt$x*(cplt[2]-cplt[1])+cplt[1] fig$y <- plt$y*(cplt[4]-cplt[3])+cplt[3] return( list(fig=fig) ) } subplot <- function(fun, x, y=NULL){ # Stolen from the teachingDemos library, simplified for this use case old.par <- par(no.readonly=TRUE) on.exit(par(old.par)) xy <- xy.coords(x,y) xy <- cnvrt.coords(xy)$fig par(plt=c(xy$x,xy$y), new=TRUE) fun tmp.par <- par(no.readonly=TRUE) return(invisible(tmp.par)) } ############################################## # # # The main program starts here: # # # Setting up an outer wireframe for the plots. plot(c(0,1),c(0,y_outer),type='n',axes=FALSE,ylab=ylabel,xlab='') # Plotting the lower range in the lower 11/21 of the plot. # xpd=FALSE to clip the bars subplot(barplot(as.matrix(data),col=heat.colors(2),ylim=lower,xpd=FALSE,las=3),x=c(0,1),y=lowspan) # Plotting the upper range in the upper 9/21 of the plot, 1/21 left to # the split. Again xpd=FALSE, names.arg is set up to avoid having # the names plotted here, must be some easier way to do this but # this works subplot(barplot(as.matrix(data),col=heat.colors(2),ylim=upper,xpd=FALSE,names.arg=vector(mode="character",length=length(data))), x=c(0,1),y=topspan) # Legend. An annoiance is that the colors comes in the opposite # order than in the plot. legend("topright",legendtext,fill=heat.colors(2)) # so far so good. (Just run the upper part to see the result so far) # Just want to make the ends of the axes a bit nicer. # All the following plots are in units of the outer coordinate system lowertop=lowspan[2]+0.1 # Where to end the lower axis breakheight=0.5 # Height of the break upperbot=lowertop+breakheight # Where to start the upper axes markerheight=0.4 # Heightdifference for the break markers markerwidth=.04 # With of the break markers # Draw the break markers: lines(c(0,0),c(1,lowertop)) lines(c(markerwidth/-2,markerwidth/2),c(lowertop-markerheight/2,lowertop+markerheight/2)) lines(c(0,0),c(upperbot,14)) lines(c(markerwidth/-2,markerwidth/2),c(upperbot-markerheight/2,upperbot+markerheight/2))
Or download the barplot with split – R code
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