Re: [R] Identifying outliers in non-normally distributed data

Thank you Kevin. I'm looking forward to trying your function when I get back to the office. Jerry Floren Minnesota Department of Agriculture Kevin Wright-5 wrote: > > Here is a simple function I use. It uses Median +/- 5.2 * MAD. If I > recall, this flags about 1/2000 of values from a true

Re: [R] Identifying outliers in non-normally distributed data

Here is a simple function I use. It uses Median +/- 5.2 * MAD. If I recall, this flags about 1/2000 of values from a true Normal distribution. is.outlier = function (x) { # See: Davies, P.L. and Gather, U. (1993). # "The identification of multiple outliers" (with discussion) # J. Ame

Re: [R] Identifying outliers in non-normally distributed data

"straightforward" scientific data. It is a conundrum I cannot resolve, > but > that does not mean I can deny it. > > Finally, a word of wisdom from a long-ago engineering colleague: > "Whenever I > see an outlier, I'm never sure whether to throw it away or pa

Re: [R] Identifying outliers in non-normally distributed data

--Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Jerry Floren Sent: Wednesday, December 30, 2009 9:47 AM To: r-help@r-project.org Subject: Re: [R] Identifying outliers in non-normally distributed data Greetings: I could also use guidanc

Re: [R] Identifying outliers in non-normally distributed data

Cheers, Bert Gunter Genentech Nonclinical Statistics -Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Jerry Floren Sent: Wednesday, December 30, 2009 9:47 AM To: r-help@r-project.org Subject: Re: [R] Identifying outliers i

Re: [R] Identifying outliers in non-normally distributed data

Greetings: I could also use guidance on this topic. I provide manure sample proficiency sets to agricultural labs in the United States and Canada. There are about 65 labs in the program. My data sets are much smaller and typically non-symmetrical with obvious outliers. Usually, there are 30 to 6

Re: [R] Identifying outliers in non-normally distributed data

John wrote: 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. Th

[R] Identifying outliers in non-normally distributed data

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