You might also want to try "density", since it can theoretically have non-zero bins, since it doesn't use "bins". For example, take a Weibull distribution, which could look better with a log y-axis: x <- rweibull(1000,1,5) par(mfrow=c(2,1)) plot(density(x,from=0)) rug(x) plot(density(x,from=0),log="y") rug(x) you may need to fiddle with the "bw" (bandwidth) parameter of "density", since this controls the smoothness of the kernel (see ?density). +mt
Using logarithmic y-axis (density) in a histogram
1 message · mwtoews at sfu.ca