>>>>> Rolf Turner <r.tur...@auckland.ac.nz> >>>>> on Thu, 25 Sep 2014 11:44:38 +1200 writes:
> On 24/09/14 20:16, Martin Maechler wrote: <SNIP> >> 1) has your proposal ever been provided in R? I'd be >> happy to add it to the robustX >> (http://cran.ch.r-project.org/web/packages/robustX) or >> even robustbase >> (http://cran.ch.r-project.org/web/packages/robustbase) >> package. > <SNIP> > I have coded up the algorithm from the Cameron and Turner > paper. Dunno if it gives exactly the same results as my > (Splus?) code from lo these many years ago (the code that > is lost in the mists of time), but it *seems* to work. excellent, thank you, Rolf! > It is not designed to work with actual "streaming" data > --- I don't know how to do that. It takes a complete data > vector as input. Someone who knows about streaming data > should be able to adapt it pretty easily. Said he, the > proverbial optimist. I agree; that should not be hard. One way is to replace 'y[ind]' by 'getY(ind)' everywhere in the code and let 'getY' be an argument to rlas() provided by the user. > The function code and a help file are attached. These > files have had their names changed to end in ".txt" so > that they will get through the mailing list processor > without being stripped. With a bit of luck. ;-) It did work indeed. I've added them to 'robustX' -- on R-forge, including a plot() method and some little more flexibility. --> https://r-forge.r-project.org/R/?group_id=59 Thank you for all the other pointers to litterature (but none to software), some of which quite recent. One old idea that was not directly mentioned I think is the "Remedian" of Rouseeuw and Basset: Peter J. Rousseeuw and Gilbert W. Bassett, Jr. (1998) The Remedian: A Robust Averaging Method for Large Data Sets Journal of the American Statistical Association, Vol. 85, No. 409, pp. 97-104 [URL: http://www.jstor.org/stable/2289530] which is also easy to implement and I plan to add to robustbase (as I'd want to use the C code already in robustbase) as a "reference" estimator. Personally, I think there is quite some room for research and implementation, not the least because the litterature seems to always be a bit incomplete {one "school" not knowning about, or at least not citing works of the other "school", etc...} Martin -- Martin Maechler, ETH Zurich > If they *don't* get through, anyone who is interested > should contact me and I will send them to you "privately". > cheers, > Rolf > -- > Rolf Turner Technical Editor ANZJS > > external: rlas.R, plain text] > external: rlas.Rd, plain text] ______________________________________________ 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.