similar to: Mixtures of Von-mises distributions

Hi all, I'm curious if anyone has coded an Expectation-Maximization algorithm that could help me model some circular data I have. I'd like to model it as a mixture of uniform and Von Mises centered on 0, so the only free parameters is the mixing proportion and the kappa of the Von Mises. I couldn't find anything in the contributed packages that seemed to suit this purpose. Any

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

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.

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, ? 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

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 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!

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

Dear R gurus - consider this plot: library(ggplot2) dat <- sample(1:8,100,replace=TRUE) smp <- ggplot(data.frame(dat), aes(x=factor(dat),fill=factor(dat))) + geom_bar(width=1) smp + coord_polar() Q1. How do I change the font size and weight of bar labels (1,2,3...)? I've been wallowing in the 'Themes' structure and I just can't figure out the correct place to change

Hi, I've currently to work with some circular data. Unfortunately I'm not very familiar with circular statistics and would really appreciate if I could get some help concerning the CircStats package this way. My data lies in the range 0 to 2*pi, and is transformed to radians (as expected by the CircStats methods). Calculating the mean direction (circ.mean) results for some datasets in a

Dear R-Group: Recently, I ran into a problem. I was using a function called "I.1", which evaluates the first-order modified Bessel function of the first kind, in the package "CircStats". This function is not vectorized, since it uses a couple of "if" conditions. However, when I called this function with a vector argument, I got no error/warning messages in

Dear all I was writing some code that needed functions from packages 'MASS' and 'CircStats', and I received a warning saying that the function 'eqscplot' in one of the packages was masked by another 'eqscplot' from the other package (in fact 'eqscplot' from 'CircStats' seems a short version of 'eqscplot' from 'MASS'). This masking of

Hi, i found a bug in circ.plot of CircStats package, namely that the plot ingore the datasets with value = 0. it's simple to fix it, but i cannot seem to figure out where to submit the fix. is there a official procedure of submitting bug report/patch to the contributed packages? -- View this message in context:

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I want to get the minimum arc (in degrees) needed to include a set of compass directions. I would like to use the range.circular() function of the package circular, because that package understands a compass-type of angle convention, but it gives results I don't understand. Howver, I can get the correct answer in the example below, 90 degrees, using the CircStats package. How can I make the

Hi, Everybody! I have a big table which named table_x, and all the elements in the table is very large! Now I want to do the summay on the talbe_x[,3]. Unfornately, I can't get the right result! And the R give the warning messages as follow: > sum(table_x[,3]) >[1] NA >Warning message: >interger overflow in sum(.);please use sum(as.numeric(.)) (the original upper message is

Dear R helper, I hope that u can help me to sort out my problem because I sent an E-mail last night to R-list but I have not receive any help and at the same time I think this problem is not so hard. I have used the following functions before > K<-10 > prime<-c(2,3,5,7,11,13,17) > UN<-seq(1:K)%*%t(sqrt(prime)) > U1<-UN-as.integer(UN) > U<-matrix(qnorm(U1),K,7)

circ.plot in CircStats under R 1.8.0 yields incorrect plots (easily compare hist() and rose.diag()). However, the code in circ.plot has not changed. Has anyone tracked this down yet?