Maciej.Hoffman-Wecker@evotecoai.com
2002-Feb-19 16:27 UTC
[R] Resistant Local Regression ???
Dear R-users & developers, i'd like to know your opinion on the following suggestion. In short: Wouldn't it be possible to combine the properties of local regression (loess) and resistant regression (lqs) in order to cope with fitting of partially continuous data? I think the lqs-fitting could detect and eliminate the 2 outliers but perserve the discontinuity at t1 in case of the following data (hope its still courier). -------------------------------------------------- | | | * | | | | | | * | | * * * * * | | * * | | * * | | * | | | | | | | | | | | | * * | | * * * * * * * | | * * * * * * * * | -------|---------|-------------|------------------ t0 t1 t2 Actually i'm interested in fitting a IR^2 -> IR function. This is why i can't use lowess. (I guess I shouldn't anyway - BTW, in a "lowess vs. loess" mail Martin Maechler mentioned the robustness properties of lowess ("huberizing"). Is lowess more robust than loess with family=symmetric?.) I will try to implement this in R-language, in order to see, whether it works or not. I hope to hear some opinion or recommendation. Thanks in advance maciej Maciej Hoffman-Wecker EVOTEC OAI Screening Operations/Discovery Informatics Schnackenburgallee 114 D-22525 Hamburg Germany -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._