similar to: grubbs.test

Hi, I'm using a fairly simple HP Compaq desktop PC running Windows 2K. When running a large process in R, the process "RGUI.exe" will never exceed 50% of the CPU usage. The program used to be able to use more of the computer, but does not now. I don't believe this is a multiple processor machine. Can anyone give any advice on how to solve the problem? Thanks, Michael

Hello, I'm new in this R world and I don't know much about statistics, but now I have to analize some data and I've got some first queries yet: I have 5 sets of area mesures and each set has 5 repetitions. My first step is to check data looking for outliers. I've used the outliers package. I have to use the cochran test and the grubbs test in case I find any outlier. The problem

Hi! I'm trying to implement an outlier test once/row in a large dataframe. Ideally, I'd do this then add the Pvalue results and the number flagged as an outlier as two new separate columns to the dataframe. Grubbs outlier test requires a vector and I'm confused how to make each row of my dataframe a vector, followed by doing a Grubbs test for each row containing the vector of numbers

Hi, I am a new user of R. This is a conceptual doubt regarding screeing out outliers from the dataset in regression. I read up that Cook's distance can be used and if we want to remove influential observations, we can use the metric (>4/n) (n=no of observations) to remove any outliers. I also came across Grubb's test to identify outliers in univariate distns. (assumed normal) but i

I have a statistical question. The data sets I am working with are right-skewed so I have been plotting the log transformations of my data. I am using a Grubbs Test to detect outliers in the data, but I get different outcomes depending on whether I run the test on the original data or the log(data). Here is one of the problematic sets: fgf2p50=c(1.563,2.161,2.529,2.726,2.442,5.047)

My second request of the day, sorry to be such a bother. Can you tell me whether Rosner's test for outliers is available in any of the R packages and, if so, which one? I've tried but I can't find it. Thank you very much, Bob Powell

Subject: user/3610: repetable tcpdump remote crash Resent-Date: Sat, 20 Dec 2003 08:55:02 -0700 (MST) Resent-From: gnats@cvs.openbsd.org (GNATS Filer) Resent-To: bugs@cvs.openbsd.org Date: Sat, 20 Dec 2003 16:42:25 +0100 (CET) From: venglin@freebsd.lublin.pl Reply-To: venglin@freebsd.lublin.pl To: gnats@openbsd.org >Number: 3610 >Category: user >Synopsis: repetable

Hola Marta, si observas cualquier artículo de psicología esto es una práctica típica. Te digo psicología porque creo que tus datos son de ese tipo. Tienes bibiligrafía de artículos cientificos en las que se quitan valores siguiendo los criterios que te he dicho solo has de buscar bibliografía del campo en el que te mueces. Osea que nos quitarlos por que sí, aunque en cada area de ciencia tienes

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

I have seen this numerious times and still have no idea what it means: undefined method `stringify_keys!'' for "blah22":String I am tring to change a password. My code looks like: def change_password @user = User.find_by_emailaddr( params[:email] ) if @user.nil? # user profile not created flash[:notice] = "<b style = \"color:red\">No such

Dear useRs, I need to compute zero of polynomial function fitted by lm. For example if I fit cubic equation by fit=lm(y~x+I(x^2)+i(x^3)) I can do it simply by polyroot(fit$coefficients). But, if I fit polynomial of higher order and optimize it by stepAIC, I get of course some coefficients removed. Then, if i have model y ~ I(x^2) + I(x^4) i cannot call polyroot in such way, because there is

Dear useRs, Is there any more elegant way to convert dataframe to a vector of all its values than as.vector(as.matrix(x)) ? I did not have to do such conversion yet, so I am not sure... (of course as.vector() alone does not work). Regards, -- Lukasz Komsta Department of Medicinal Chemistry Medical University of Lublin Jaczewskiego 4, 20-090 Lublin, Poland Fax +48 81 7425165

Dear useRs, I have a curve which is a mixture of Gaussian curves (for example UV emission or absorption spectrum). Do you have any suggestions how to implement searching for optimal set of Gaussian peaks to fit the curve? I know that it is very complex problem, but maybe it is a possibility to do it? First supposement is to use a nls() with very large functions, and compare AIC value, but it is

Hello all, I can't get stereo with wineasio, even the new verison of wineasio which I have compiled > 1.7.4. when I open an app with wine, I do see the connections in Qjack connections, but It is not in stereo Ardour can verify this, and both left and right connection are connected from wine to jack, I have googled for this answer to no aval and I have asked numerious times on IRC in

Dear all, I am unsure about how to specify a model in R and I thought of asking some advice to the list. I have two groups ("Group"= A, B) of subjects, with each subject undertaking a test before and after a certain treatment ("Time"= pre, post). Additionally, I want to enter the age of the subject as a covariate (the performance on the test is affected by age),

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

Try using the dlls from windows 95 cd, I'm not talking about the dcom95 dlls, but the dlls win95 installs in c:windows/system. > > > puoti@inwind.it wrote: > > Did you use only win95 dlls? If you used dlls from any other version of > > win, htere could be problems with dcom 95. > I used dll's only from dcom95 which are listed at appdb.winehq.org > > Without

Dear useRs, I was searching CRAN for implementation of kurtosis and skewness tests, and found that there is some kind of lack on it. So, I have written three functions: 1. Anscombe-Glynn test for kurtosis 2. Bonett-Seier test based on Geary's kurtosis (which is not widely known, but I was inspired by original paper describing it, found coincidentally in Elsevier database) 3.

With pleasure we announce the release of tinc version 1.1pre16. Here is a summary of the changes in tinc 1.1pre16: * Fixed building with support for UML sockets. * Documentation updates and spelling fixes. * Support for MSS clamping of IP-in-IP packets. * Fixed parsing of the -b flag. * Added the ability to set a firemall mark on sockets on Linux. * Minor improvements to the build system.

With pleasure we announce the release of tinc version 1.1pre16. Here is a summary of the changes in tinc 1.1pre16: * Fixed building with support for UML sockets. * Documentation updates and spelling fixes. * Support for MSS clamping of IP-in-IP packets. * Fixed parsing of the -b flag. * Added the ability to set a firemall mark on sockets on Linux. * Minor improvements to the build system.