On 13 Jul 2005, at 11:01, (Ted Harding) wrote: > On 13-Jul-05 Prof Brian Ripley wrote: > >> For most purposes it is easiest to use matplot() to plot superimposed >> plots like this. E.g. >> >> x <- 0.1*(0:20) >> matplot(x, cbind(sin(x), cos(x)), "pl", pch=1) >> > > This, and Robin's suggestion, are good practical solutions especially > when only a few graphs (2 or 3 or ... ) are involved. However, their > undelying principle is to accumulate auxiliary variables encapsulating > the graphs which will eventually be plotted.
Ted makes a good point here. I would find this quite useful, for EDA (exploratory data analysis) work, where one often needs to add new lines to a plot, one at a time, in an ad hoc manner, just to "see what happens". Would adding such functionality (perhaps via a new Boolean argument to plot(), "rescaling", defaulting to FALSE, that enabled dynamic rescaling when plot(...,add=TRUE) is executed) require quite a lot of low-level work? best wishes Robin -- Robin Hankin Uncertainty Analyst National Oceanography Centre, Southampton European Way, Southampton SO14 3ZH, UK tel 023-8059-7743 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
