Thanks Duncan, That is almost exactly what I want, except I want time to go in the normal order, not backwards, so:
# plot on reverse log scale years1500 <- runif(500, 1500, 1990) # some fake data x <- -log(2000-years1500) from <- -log(2000-1990) to <- -log(2000-1500) plot(density(x, from=from, to=to), axes=F) rug(x) labels <- pretty(years1500) labels <- labels[labels<2000] axis(1, labels, at=-log(2000-labels)) minorticks <- pretty(years1500, n=20) minorticks <- minorticks[minorticks<2000] axis(1, labels=FALSE, at=-log(2000-minorticks), tcl=-0.25) axis(2) box() -Michael Duncan Murdoch wrote: > On 7/6/2005 3:36 PM, Michael Friendly wrote: > >> I'd like to do some plots of historical event data on a reverse log >> scale, started, say at the year 2000 and going >> backwards in time, with tick marks spaced according to >> log(2000-year). For example, see: >> >> http://euclid.psych.yorku.ca/SCS/Gallery/images/log-timeline.gif >> >> As an example, I'd like to create a density plot of such data with the >> horizontal axis reverse-logged, >> a transformation of this image: >> http://euclid.psych.yorku.ca/SCS/Gallery/milestone/Test/mileyears1.gif >> >> Some initial code to do a standard density plot looks like this: >> >> mileyears <- read.csv("mileyears3.csv", skip=1, >> col.names=c("key","year","where","add","junk")) >> mileyears <- mileyears[,2:4] >> >> years <- mileyears$year >> years1500 <- years[years>1500] >> dens <- density(years1500, from=1500, to=1990) >> plot(dens) >> rug(years1500) >> >> I could calculate log(2000-year), but I'm not sure how to do the >> plotting, do some minor tick marks >> and label the major ones, say at 100 year intervals. > > > I think you'll have to do everything explicitly. That is, something > like this: > > years1500 <- runif(500, 1500, 1990) # some fake data > x <- log(2000-years1500) > from <- log(2000-1990) > to <- log(2000-1500) > plot(density(x, from=from, to=to), axes=F) > rug(x) > > labels <- pretty(years1500) > labels <- labels[labels<2000] > axis(1, labels, at=log(2000-labels)) > > minorticks <- pretty(years1500, n=20) > minorticks <- minorticks[minorticks<2000] > axis(1, labels=FALSE, at=log(2000-minorticks), tcl=-0.25) > > axis(2) > box() > > Duncan Murdoch -- Michael Friendly Email: [EMAIL PROTECTED] Professor, Psychology Dept. York University Voice: 416 736-5115 x66249 Fax: 416 736-5814 4700 Keele Street http://www.math.yorku.ca/SCS/friendly.html Toronto, ONT M3J 1P3 CANADA ______________________________________________ [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
