Please allow one (hopefully ;) last question: Do you think the code I adopted from Hänggi is valid in selecting a contour which encloses i.e. 68% of the scatter-plot data? - I am still not completely shore... still looking for the reason of the different result of Hänggis and Foresters code. Should be equivalent in theory.
Felix Am 03.03.12 22:13, schrieb peter dalgaard: > > On Mar 3, 2012, at 20:25 , drflxms wrote: > >> "Once you go into two dimensions, SD loses all meaning, and adding >> nonparametric density estimation into the mix doesn't help, so just stop >> thinking in those terms!" >> >> This makes me really think a lot! Is plotting the 0,68 confidence >> interval in 2D as equivalent to +-1 SD really nonsense!? > > > Nono.., a 68% CI (or rather, prediction region) is a 68% region, no problem > in that. And choosing that particular value because it is traditional in 1D > quite defensible. It's just that there is nothing (at least not anything > obvious) that it corresponds to 1SD of. > ______________________________________________ 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.
