I believe Dr. Winsemius addressed this in your other thread, but I would hesitate to do any sort of outlier identification based on repeated application of a filter (for that matter, I'm not much of an outlier removal guy generally, but let's suppose I were). You can easily get into a situation where those data that were not outliers previously now become so. Rather a single pass filter is probably more appropriate....even better would be to use some robust methodologies, such as those made available in library(robustbase).
As to the technical bits of your question, I can't easily get rm.outlier to throw an error like that: can you provide a minimum working example that does? I'm not aware of any simple direct method for repeated function application other than a loop trick. Perhaps one could rig something with do.call() but the loop should be fine. Michael On Fri, Oct 21, 2011 at 6:40 AM, aajit75 <aaji...@yahoo.co.in> wrote: > Hi Michael, > > Thanks for the help. > > Yes, I have gone through the document for ?outlier. As it removes one > outlier at a time, being new to R, I was woondering is there any function > available for removing multiple outliers whithout calling say rm.outlier for > n number of time because n is not finite here. > > On the second point, I am using below mentioned piece of code, because I am > getting error when rm.outlier with fill = FALSE option is applied on the > same dataset. > > outlier_tf1 = outlier(x1,logical=TRUE) > find_outlier1 = which(outlier_tf1==TRUE, arr.ind=TRUE) > beh_input_ro1 = x1[-find_outlier1] > >> library(outliers) >> beh_input_ro <- rm.outlier(beh_input_dr, fill = FALSE, median = FALSE, >> opposite = FALSE) > Error in data.frame(X1 = c(28.7812, 24.8923, 31.3987, 25.774, 27.1798, : > arguments imply differing number of rows: 2398, 2390, 2399 > > Regards, > -Ajit > > -- > View this message in context: > http://r.789695.n4.nabble.com/How-to-remove-multiple-outliers-tp3921689p3924904.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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.
