similar to: D'agostino test

Hello! I''ve a ubuntu server running over a HVM DomU. After a hang, the domU doesn''t start again. The domU was not able to mount the virtual machine disk so I started with a live cd and I tried to mount the disk root part / with no success so I ran fsck.ext3 and it gave me input/output error in the domU and in dom0 the kernel says: Feb 14 18:22:28 scofield last message

Juraj17 wrote: > > Do I have to write my own, or it exists yet? How name has it, or how can I > use it. > Try the R-function search. It return the function you are looking for as the first match. Dieter -- View this message in context: http://r.789695.n4.nabble.com/D-Agostino-test-tp3424952p3425833.html Sent from the R help mailing list archive at Nabble.com.

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.

Dear R Help, I've just installed 1.7.1 and have found that the console now exhibits odd behavior when I paste commands into it. I'm on a PC running Windows XP Professional. I use Word as my script editor, and then paste commands into the R console using the standard Windows "copy" within Word then "paste" within Rgui. This worked without a hitch in 1.7.0, but now in

Buenos días, estoy haciendo unos mapas con ggplot, con 29 categorías, por lo que tengo que utilizar library(RColorBrewer) para disponer de suficientes colores. El problema es que al hacerlo acorde a dos variables distintas (color=var1 y color=var2), cuyas 29 categorías son obviamente las mismas, les da distintos colores y no puedo comparar los mapas. Muchas gracias, Manuel

Colegas: Necesito hacer una serie de ajustes de un modelo de decaimiento exponencial a unos datos de concentración de compuestos fluorescentes contra el tiempo. Para la mayoría de los experimentos tengo tres réplicas por cada tiempo, y haciendo los gráficos correspondientes parece haber diferencias muy grandes en la dispersión de los datos, siendo generalmente mas grandes al principio del

Dear R list, I have a sequence of weekly observations of number of adults and larvae in various size classes from a butterfly population living in a subtropical area with pronounced wet and dry seasons. Wet and dry seasons are each defined 26 weeks long with fixed start and end dates. The data span 103 weeks (two seasons each of wet and dry) with some missing weeks. What I would like to do is

Greetings, I have generated several ROC curves and would like to compare the AUCs. The data are cross sectional and the outcomes are binary. I am testing which of several models provide the best discrimination. Would it be most appropriate to report AUC with 95% CI's? I have been looking in to the "net reclassification improvement" (see below for reference) but thus far I can only

Hello, I have the following situation: I have two offices, which both require local speed access to their file shares. Currently there is a single windows server that provides network shares to both offices, the remote one through a vpn. I have used Samba since the early days, and am quite familiar with it's capabilities and limitations, however I have never tried to perform replication with

Hola Carlos. Muchas gracias. No es exactamente lo que estoy buscando (sería genial ver que alguien tiene un paquete con la prueba de Nam-D'Agostino) pero puedo aprovechar algo de código. Encontré alguna referencia al test de Gronnesby&Borgan en el paquete stcoxgof de Stata, pero estoy torpe para encontrar algo hecho en R (y me extraña que no haya nada) Un saludo, Miguel. De: Carlos

I have a question about the D'Agostino skewness test and the Anscombe-Glynn kurtosis test. agostino.test(x, alternative = c("two.sided", "less", "greater")) anscombe.test(x, alternative = c("two.sided", "less", "greater")) The option "alternative" in those two functions seems to be the null hypothesis. In the output, the

Hola. Una duda.... Alguien sabe si hay algo hecho en R para comprobar si un modelo de supervivencia está bien calibrado? (usando las pruebas de Nam-D'Agostino o de Gronnesby & Borgan). Thnks. Un Saludo, _____________________________ Miguel Ángel Rodríguez Muíños Dirección Xeral de Innovación e Xestión da Saúde Pública Consellería de Sanidade Xunta de Galicia http://dxsp.sergas.es

Hi, I am trying to calculate net reclassification improvement (NRI) and Inegrated Discrimination Improvement (IDI) for a survival dataset to compare 2 risk models. It seems that the improveProb() in Hmisc package does this only for binary outcome, while rcorrp.cens() does take survival object, but doesn't output NRI or IDI. Can anyone suggest any other packages that can calculate NRI and IDI

Dear R list, What's the best way in R to fill a matrix who's entries depend on some function of the indices? I'm currently doing: Q <- matrix(0, k, k) for (A in 1:k) { for (B in 1:k) { Q[A,B] <- my.function(A,B) } } but I wonder if there is a more terse way. Regards, Douglas Scofield Department of Biology d.scofield at

Dear all I am trying to compare the performances of several methods using the AUC0.1 and not the whole AUC. (meaning I wanted to compare to AUC's whose x axis only goes to 0.1 not 1) I came to know about the Mcneil Hanley test from Bernardo Rangel Tura and I referred to the original paper for the calculation of "r" which is an argument of the function cROC. I can only find the

Hi, I would like to compare differences in AUC from 2 different models, glm and gam for predicting presence / absence. I know that in theory the model with a higher AUC is better, but what I am interested in is if statistically the increase in AUC from the glm model to the gam model is significant. I also read quite extensive discussions on the list about ROC and AUC but I still didn't find

I have a problem related with the HABTM relationships with checkboxes. I''ve got a profile and a service model, both related with has_and_belongs_to_many. The problem is that i can insert new data in the profiles_services table, however, i cant delete already existing data. What could be the problem? --~--~---------~--~----~------------~-------~--~----~ You received this message

Hello, Does anyone could tell me if R sofware can be used for smoothing, using the kernel distribution ? I will appreciate Alex [[alternative HTML version deleted]]

Dear all, Does anyone know if the mixture analysis (i.e : sexual dimorphism, age group,…) can be done with R software ? Thanks for your help Dan --------------------------------- [[alternative HTML version deleted]]

Hi all, apologies for seeking advice on a general stats question. I ve run normality tests using 8 different methods: - Lilliefors - Shapiro-Wilk - Robust Jarque Bera - Jarque Bera - Anderson-Darling - Pearson chi-square - Cramer-von Mises - Shapiro-Francia All show that the null hypothesis that the data come from a normal distro cannot be rejected. Great. However, I don't think it looks