Try this using the same ts.sim and ts.sim2 from my previous post. https://stat.ethz.ch/pipermail/r-help/2009-August/206697.html
library(zoo) library(lattice) plot(na.approx(cbind(as.zoo(ts.sim), as.zoo(ts.sim2))), screen = 1, col = c("black", grey(0.5))) On Sat, Aug 1, 2009 at 10:26 AM, Gary Lewis<gary.m.le...@gmail.com> wrote: > I could use some advice regarding xyplot. > > I've got 2 time series. Both cover approximately the same period of > time (ie, 1940 to 2009). But one series has annual data and the other > has monthly data. One refers to university enrollment; the other to > unemployment rates. Both are currently in the same data frame. > > I'd like to use the monthly times series as a light grayscale > background for a plot of the annual time series, showing both series > as type "l" (line). Naturally with all the NA's in the annual series, > that plot disappears because points are not connected across missing > values. > > I suppose I could make both series annual, but a lot of interesting > detail would get lost this way. Or I guess I could interpolate values > in the annual series with monthly approximations, but this means 11 > out of every 12 values is an approximation. Or I suppose I could plot > each series separately and then print them with position information, > which I'm reluctant to do because panel.superpose so nicely handles > the alignment of the 2 panels. > > What I'd really like to do is plot each independently but still > superposed. Effectively this seems to mean monthly data intervals but > line connections across the NA's in the series with annual intervals. > > Any suggestions would be appreciated. Thanks. > > Gary Lewis > > ______________________________________________ > 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.