similar to: Rosner's test

What would be nice is to have something like a "robust" task view... Andy From: Berton Gunter > > Many thanks for this Martin. There now are several packages > with what appear to be overlapping functions (or at least > algorithms). Besides those you mentioned, "robust" and > "roblm" are at least two others. Any recommendations about > how or

Dear All, I have small samples of data (between 6 and 15) for numerious time series points. I am assuming the data for each time point is normally distributed. The problem is that the data arrvies sporadically and I would like to detect the number of outliers after I have six data points for any time period. Essentially, I would like to detect the number of outliers when I have 6 data points then

I believe there to be a bug in the cvm.test module of the nortest package authored by Juergen Gross. I do not know how to contact the author directly. I've been running some normality tests using the nortest package. For some of my datasets the Cramer-von Mises normality test generates an extremely high probability (e.g., 1.637e+31) and indicates normality when the other tests do

Does anyone have any ideas how I could do a power calculation for a log rank test. I would like to know what the suggested sample sizes would be to pick a difference when the control to active are in a ratio of 80% to 20%. Thanks Dan -- ************************************************************** Daniel Brewer, Ph.D. Institute of Cancer Research Email: daniel.brewer at icr.ac.uk

Hi, there: As you all know, correlation is not a very robust procedure. Sometimes correlation could be driven by a few outliers. There are a few ways to improve the robustness of correlation (pearson correlation), either by outlier removal procedure, or resampling technique. I am wondering if there is any R package or R code that have incorporated outlier removal or resampling procedure in

Can anyone comment or point me to a discussion of the pros and cons of robust regressions, vs. a more "manual" approach to trimming outliers and/or "normalizing" data used in regression analysis?

Hi, this is both a statistical and a R question... what would the best way / test to detect an outlier value among a series of 10 to 30 values ? for instance if we have the following dataset: 10,11,12,15,20,22,25,30,500 I d like to have a way to identify the last data as an outlier (only one direction). One way would be to calculate abs(mean - median) and if elevated (to what extent ?) delete the

Breaking News - Powell resigns as FCC Chair Federal Communications Commission (FCC) Chairman Michael Powell announced his resignation today (January 21, 2005) and will step down in March. In a brief statement on the FCC's website (www.fcc.gov) Powell said, "Having completed a bold and aggressive agenda, it is time for me to pursue other opportunities and let someone else take the reins

Do you know of any references that verify the accuracy of R for basic statistical calculations and tests. The results of these studies should indicate that R results are the same as the results of other statistical packages to a certain number of decimal places on some benchmark calculations. Thanks, Corey Powell Clinical Data Analyst Broncus Technologies cpowell@broncus.com [[alternative

Hello, I'm learning about robust M-estimators right now and had settled on the "Huber Proposal 2" as implemented in MASS, but further reading made clear, that at least 2 further weighting functions (Hampel, Tukey bisquare) exist. In a post from B.D. Ripley going back to 1999 I found the following quote: >> 2) Would huber() give me results that are similar (i.e., close

Hi Stephen, Thanks very much for getting back to me. My problem is described below. Any help would be greatly appreciated. Thanks, James Hi, Sorry for bothering you because I know that your time is voluntary, but I would really appreciate some help. I work in a hospital in part of Ireland?s national health service, a service which was struck by a massive cyber attack a couple of years ago. Since

Suppose I am reading data from a file and the data contains some outliers. I want to know if it is possible in R to automatically detect outliers in a dataset and remove them -- View this message in context: http://n4.nabble.com/How-to-detect-and-exclude-outliers-in-R-tp1017285p1017285.html Sent from the R help mailing list archive at Nabble.com.

Dear list members, Is there a package somewhere for jointly estimating two poisson processes? I think the closest I've come is using the "SUR" option in the Zelig package (see below), but when I try the "poisson" option instead of the "SUR" optioin I get an error (error given below, and indeed, reading the documentation of the Zelig package, I get the impression

Hi, I am trying to use rm.outlier method but encountering following error: > y <- rnorm(100) > rm.outlier(y) Error: Error in if (nrow(x) != ncol(x)) stop("x must be a square matrix") : argument is of length zero Whats wrong here? TIA Sachin __________________________________________________ [[alternative HTML version

Hello list, I'm following the paper (http://www.jstatsoft.org/v27/i02/paper) on how to use "plm" to run panel regressions, and am having trouble with what I believe should be something very basic. When I run the command (p.9 in the paper): R> dynformula(emp~wage+capital,log=list(capital=FALSE,TRUE),lag=list(emp=2,c(2,3)),diff=list(FALSE,capital=TRUE)) I see: emp ~ wage +

I'm new to Asterisk and have installed it on OS X. I am trying to use an X-Lite softphone to connect through Asterisk to FreeWorld Dialup and am not having any luck. I have looked at several settings pages at voip-info.com but have had no luck. I am on a school network which I assume has some security but the particulars are unknown as they are not very helpful. It is necessary to

On Wed, 7 Feb 2001, Josh Coalson wrote: > Mark, if it's possible, can you do me a favor... > Try encoding the album as individual tracks and > compare sizes. The reason I ask is because of > the way FLAC frames are numbered in the frame > headers (if you check the format page you'll see > what I mean). Sorry, I don't :( I've split into individual files and

On Fri, 2 Feb 2001, Josh Coalson wrote: > sounds great. I've been thinking about adding a > 'what uses FLAC' set of links to the web page... > please keep me posted. The latest version of my cue+wav splitter supports .flac files. Hope to get it released this weekend. Will eventually be at: www.lameb.fsnet.co.uk It also supports .shn and .ape. I've seen shorten

Dear list members I would like to apply a vector of labels v=c("lab1","lab2","lab3") to a dataframe df=data.frame(1:3,1:3,1:3) using some kind of loop or apply function. Any ideas? Thanks Steve Powell Checked by AVG Free Edition. 17:03 [[alternative HTML version deleted]]

Hi list members Any easy way to get standardized cronbach's alpha for a scale, as in SPSS? Thanks Steve Powell proMENTE social research research | evaluation | training & consulting Kranj?evi?eva 35, 71000 Sarajevo mobile: +387 61 215 997 | office: +387 33 556 865 | fax: +387 33 556 866 Checked by AVG Free Edition. 17:44