Hello, I've been searching for a method for identify outliers for quite some time now. The complication is that I cannot assume that my data is normally distributed nor symmetrical (i.e. some distributions might have one longer tail) so I have not been able to find any good tests. The Walsh's Test (http://www.statistics4u.info/ fundsta...liertest.html#), as I understand assumes that the data is symmetrical for example.
Also, while I've found some interesting articles: http://tinyurl.com/yc7w4oq ("Missing Values, Outliers, Robust Statistics & Non-parametric Methods") I don't really know what to use. Any ideas? Any R packages available for this? Thanks! PS. My data has 1000's of observations.. ______________________________________________ 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.
