similar to: R help

Hall all, Where can I find the two sample Cramer-von Mises test in R package? Thank you. Legendy -- View this message in context: http://www.nabble.com/Two-sample-Cramer-von-Mises-test-tp20174229p20174229.html Sent from the R help mailing list archive at Nabble.com.

Dear R users, I have seven regression lines I´d like to compare, in order to find out if these are significatively different. The main problem is that these are curves, non normal, non homogeneous data, I´ve tried to linearize them but it has not worked. So I´d like to know if you know any command or source in R which explains how to perform this kind of comparison. Thanks in advance for your

I simulate a uniform data and then transformed into Burr(1,3,1) data, which is of pdf: f(x)=[3*(x^2)] / [(1+x^3)^2], x>0 How can I perform a goodness-of-fit test (k-s, anderson-darling,chisq,cramer-von mises,...) on it (should highly accept) to get test-statistics & p-values? Thanks! Sincerely, Shelton Jin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

Hi, does anybody know of a nice test to detect trend turning points in time series? Possibly with reference? Thanks, joerg

Dear R providers and users, I need to compare two sets of data coming from two different multivariate distributions. I would like to apply a two sample Kolmogorov Smirnov test in multivariate case. Is there any R code or package ? Your help is highly appreciated. Many thanks, Esmail Amiri. ____________________________________________________________ Do You Yahoo!? Get your free @yahoo.co.uk

Hi, this is my first help request so please bear with me. 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 not. Is there something I'm misunderstanding or potentially a bug in the code? Below are the

Hi all: How do I create opus encoder and decoder executable on Windows using MS Visual Studio 2010? What I'm doing is the following: 1. I downloaded the codebase on my local drive using: $ git clone git://git.opus-codec.org/opus.git 2. Then I go to D:\opus\win32\VS2010 and open the opus.sln using MS Visual Studio 2010. 3. Then I build the solution opus. I get 3 executable at

Greetings. For R gurus this may be a no brainer, but I could not find pointers to efficient computation of this beast in past help files. Background - I wish to implement a Cramer-von Mises type test statistic which involves double sums of max(X_i,Y_j) where X and Y are vectors of differing length. I am currently using ifelse pointwise in a vector, but have a nagging suspicion that there is a

Hi, ? I'm trying to carry out Cramer von Mises tests between pairs of vectors belonging to a discrete distribution (concretely frequencies from 0 to 200). However, the program crashes in the attempt. The problem seems to be that these vectors only have positive integer numbers (+ zero). When I add a random very small positive decimal to the non-decimal part everything works fine (files prm1

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

Hi, I am running the following code based on the cpm vignette's code. I believe the code is syntactically correct but it just seems to hang R. I can get this to run if I set the sims to 100 but with 2000 it just hangs. Any ideas why? Thanks, Chris library(cpm) cpmTypes <- c("Kolmogorov-Smirnov","Mann-Whitney","Cramer-von-Mises") changeMagnitudes <- c(1, 2,

All, Is there a way to setup serial communication between dom0 and domU. The idea is to have some way of exchanging messages between dom0 and domUs. Certainly, it is possible to use s host-only network, and ssh or shared file system to exchange data. However, there could be cases where the dom0 is not networked. You may want to automate configuring domUs from dom0. Any suggestions. Arijit

Hello, While doing test of normality under R and SAS, in order to prove the efficiency of R to my company, I notice that Anderson Darling, Cramer Van Mises and Shapiro-Wilk tests results are quite the same under the two environnements, but the Kolmogorov-smirnov p-value really is different. Here is what I do: > ks.test(w,pnorm,mean(w),sd(w)) One-sample Kolmogorov-Smirnov test data: w D

Hi, Interpretation problem ! so what i did is by using the: >fit1 <- fitdist(vectNorm,"beta") Warning messages: 1: In dbeta(x, shape1, shape2, log) : NaNs produced 2: In dbeta(x, shape1, shape2, log) : NaNs produced 3: In dbeta(x, shape1, shape2, log) : NaNs produced 4: In dbeta(x, shape1, shape2, log) : NaNs produced 5: In dbeta(x, shape1, shape2, log) : NaNs produced 6: In

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

Hi I am looking for an implementation (or alternative to) Mallow's distance or the Earth Mover's distance to compare distributions or unnormalized distributions (signatures). Is there an implementation in R or can somebody recommend an alternative? Thanks Rainer -- Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany) Centre of

Dear All, Suppose you are given two distributions (or better: two equally-sized lists of data); how can you evaluate the difference between them? I need something like an overlap measure of the two (let us say 0 == no overlap and 1== complete overlap). I should add that there is a 1-1 correspondence of the data in the two distributions (they are ordered lists and e.g. the third element in the

Hello forum, I want to find in survey how to test V-cramer and coefficient Goodman-Kruskal gamma, to test the collinearity between varibles to enter a model. For the V-Cramer function is used with the package vcd assocstats but without considering the survey package. I appreciate the cooperation. Att. Diana Martinez [[alternative HTML version deleted]]

wxRuby 0.6.0 has been released and is now available for download from RubyForge at http://wxruby.rubyforge.org/ This release includes binary builds for Max OS X and MS Windows. Changes in this release include: * Additional widget support in XRC (thanks to Marshall Elfstrand) * Addition of wxScrollbar (thanks to Hans Harmon of Pinnacle Technologies Inc) * Addition of wxGrid event handlers (thanks

I am trying to fit a lognormal distribution to a set of data and test its goodness of fit with regard to predicted values. I managed to get so far: > y <- c(2,6,2,3,6,7,6,10,11,6,12,9,15,11,15,8,9,12,6,5) > library(MASS) > fitdistr(y,"lognormal",start=list(meanlog=0.1,sdlog=0.1)) meanlog sdlog 1.94810515 0.57091032 (0.12765945) (0.09034437) But I would