similar to: EM algorithm to fit circular mix of uniform+Von Mises

Hi all, I suspect the answer to this query will be the tongue-in-cheek "use a quantum computer", but I thought my understanding might be sufficiently limited that I'm missing a simpler option. I'm looking for a way to cycle through all possible combinations of 2 groups of data. For 10 data points, that's 2^10 combinations, for 20 data points it's 2^20, etc. combn() from

Hi folks, I have circular data that I'd like to model as a mixture of a uniform and a Von Mises centered on zero. The data are from 2 groups of human participants, where each participant is measured repeatedly within each of several conditions. So, the data frame would look something like: ######## design = expand.grid( person = 1:20 , variable1 = 1:2 , variable2

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 All, I has posted this question on friday. I am trying to plot von Mises density on the circle. One can use dvm function from the CircStats package, by giving a set of angles, mu and kappa to plot the circular density on the line. Does any one have a macro that does it on the circle? These plots are displayed in Nick Fisher's book. Any help will be appreciated. Thanks, G. Subramaniam

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

Dear all, I would like to fit a von mises mixture to my data using the EM Algorithm. Unfornately, existing packages (including circstats) doesn't provide such method. So, does anybody have written such code ? Big thanks, Christophe, (R newbie)

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

Hi all, When I detect the spatial point pattern, I want to use the Cramer-von Mises statistic to assess the curve-wise significance of deviations from null hypotheses. Who can tell me which function in R package "Spatstat" can do this work? Thanks a lot Jeff [[alternative HTML version deleted]]

Hi all, I am using "spatstat" to investigate the spatial structure of some plant populations, and I want to detect these patters with IPP and a Thomas process based on pair-correlation function. I know the function "pcfinhom" is available to characterize the IPP, but I have no idea about how to use the pcf with Thomas process? Additionally, generating simulation envelopes

Hello list, Is there any function in some package can calculate two sample Cramer-von Mises test statistic? I searched around and only find one sample version cvm.test() in nortest package. thanks, WC _________________________________________________________________ Don’t just search. Find. Check out the new MSN Search!

Hello, Consider MCMC sampling with metropolis / metropolis hastings proposals and a density function with a given valid parameter space. How are MCMC proposals performed if the parameter could be located at the very extreme of the parameter space, or even 'beyond that' ? Example to express it and my very nontechnical 'beyond that': The von Mises distribution is a circular

The ez package was developed to aid those that are new to statistical programming. Over the course of several years of helping colleagues and students learn R, I observed that folks are often initially turned off R because they have difficulty obtaining SPSS-like results quickly (SPSS is the dominant environment in my field, psychology). ez attempts to fill this gap, providing quick and easy

The ez package was developed to aid those that are new to statistical programming. Over the course of several years of helping colleagues and students learn R, I observed that folks are often initially turned off R because they have difficulty obtaining SPSS-like results quickly (SPSS is the dominant environment in my field, psychology). ez attempts to fill this gap, providing quick and easy

Thanks Dimitris!!! That's much clearer now. Still have a lot of work to do this weekend to understand every bit but your code will prove very useful. Cheers, Aziz -----Original Message----- From: Dimitrios Rizopoulos [mailto:Dimitris.Rizopoulos at med.kuleuven.be] Sent: May 12, 2006 4:35 PM To: Chaouch, Aziz Subject: RE: [R] Maximum likelihood estimate of bivariate

Hi, I'm dealing with wind data and I'd like to model their distribution in order to simulate data to fill-in missing values. Wind direction are typically following a vonmises distribution and wind speeds follow a weibull distribution. I'd like to build a joint distribution of directions and speeds as a VonMises-Weibull bivariate distribution. First is this a stupid question? I'm

Hi all, I'm reviewing a paper that employs a strange (to me) approach to a non-parametric significance testing. I'm familiar with permutation tests and bootstrapping confidence intervals around parameter estimates, but here they seem to be bootstrapping CIs for a manufactured Null F-value. They have a simple 3 groups between-Ss design and compute the F-value of the observed data. Then,

Se ha borrado un texto insertado con un juego de caracteres sin especificar... Nombre: no disponible Url: https://stat.ethz.ch/pipermail/r-help/attachments/20060628/32226ee4/attachment.pl

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 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

I have started using the circular package but it is not recognizing the function arrows.circular. I attempted to use the example provided in the circular manual. Here is the example code using the circular package: plot(rvonmises(10, circular(0), kappa=1)) arrows.circular(rvonmises(10, circular(0), kappa=1)) arrows.circular(rvonmises(10, circular(0), kappa=1), y=runif(10), col=2)

Dear Sir I am new user of R. I am interested in modeling hydrological extreme events. I found MSClaio2008 very interesting function. In this function four criterions for choosing distributions. Can we call these criterions as model selection techniques or goodness of fit techniques or both? Because goodness of fit techniques are usually performed after modle selection. Can I found