similar to: About Torus Rndamiztion

Dear R users. I have data observed on the surface of a torus, and am trying to fit the nonlinear regression using the geodesic equation on a torus. Could anyone give me a helpful advise on this problem? I would definitely appreicate your reply. Sincerely, SUNGSU KIM [[alternative HTML version deleted]]

Hello, I have 2D-data on a torus, i.e. they are scattered within [0:2pi) and are supposed to be periodic with period 2pi. Is there a way in R for a kernel density estimation for such data? I found this article http://www.dmqte.unich.it/personal/dimarzio/density46.pdf but a) I don't fully understand the article (my knowledge in statistics is poor) b) I did not understand which Eq.

Friends-- I'm stumped! Cannot get mount.cifs to work over a tun connection. How would you trouble-shoot this? 1. It cannot be openvpn causing the problem: I can ping across the connection both directions on all machines. 2. It cannot be samba causing the problem: I can mount.cifs the smb shares on the lan (using the identical credentials file) without any issue. 3. Have iptables

Hi all, I am running R 2.5.0 under Windows XP Media Center Edition. Here's a problem that's been stumping me for a few days now, and I can't find anything useful in the archives. I am using voronoi.mosaic (tripack package) to create proximity polygons for a study of vegetation competition and dynamics. The points lists are read in from a file for each plot, then 8 duplicates

Dear Dr. Bivand and R-users, I have a 5 by 5 grid, say, location[1:5,1:5], and I want to know the indices of 8 neighbours of each cell. For example, for location[2,2], its neighbour coordinates are [1,1:3], [2,1], [2,3] and [3,1:3]. Sometimes I also need to remove edge effects (torus = TRUE). I have tried "cell2nb" function in your spdep package. Here's my example: > neigh

Hi all, I'm currently implementing quasi random generation (torus) on R (package randtoolbox available on CRAN). Even if it is not a great idea, I decided to use the machine time to initiate the seed. So when the seed is not specified by the user, the pkg uses the time machine time. Hence the following R code should produce different uniform variates : > for(i in

Here is the patch with my changes. Most work went into the decoder. I just changed on the encoder if something was nessesary to build the library. You can find the patch here (quite big).. http://torus.untergrund.net/code/theora_mmx_vc2005.diff Please let me know if the encoder works without problems. I just did a very brief testing of it. The decoder has been tested against the test

Dear Helper: Thank you very much for your time on this question. It is a little long and complicated. Generate a clustered pattern in [0; 1]2 as follows: (a) Generate n, say 20, independent cluster centers (which can be called parents) that are distributed i.i.d. uniformly in the unit square; (b) then m,say 100, daughters are assigned i.i.d. uniformly to these parents and such that each

Hi, this reminds me of my troubles of setting up samba BDC at remote company branch. Connection was done by IPSEC tunnel between 2 mikrotik routers. Thing was, ipsec supports only unicast, but not multicast,nor broadcast. Solved it by adding L2TP tunnel that support the above mentioned mechanisms. So ended up with the l2tp (which has very weak encryption and is very old and vulnerable)

Generate a clustered pattern in [0; 1]2 as follows: (a) Generate nc, say 20, independent cluster centres (which can be called parents) that are distributed i.i.d. uniformly in the unit square; (b) then n daughters are assigned i.i.d. uniformly to these parents and such that each daughter is located i.i.d. uniformly in a disk of radius r = 0:1 centred at her parent, under the periodic boundary

Hi all ! I would like to simulate spatial lattice/areal data with a conditional autoregressive (CAR) structure, for a given neighbouring matrix and for a autocorrelation "rho". Is there any package or function in R to perform it ? I found the function "CARsimu" in the hdeco library, but this is not what I'm looking for Thanks in advance Dae-Jin --

Hi all, I am sorry if this is a very basic quesion, but I have no experience with analyzing spatial data and could not find the right function/package quickly. Any hints would be much appreciated. I have a matrix of spatial point patterns like the one below and want to find the number of independent components (if that's the right term) in that matrix (or in that image). x=matrix(c(0,1,0,0,0,

Hi list, I am using read.csv to read data from csf files, but noticed that the numeric data (those larger than 10 power 9) are rounded to the nearest million (10 power 6). Any solution? Thanks Arvin -- Sent from my mobile device

Hi it smells like a homework, this list has no homework policy. Anyway, maybe the sample approach could be used. Generate x,y coordinates - ?expand.grid sample n centers - ?sample select all points within defined area - ?point.in.polygon, package sp select desired number of points - ?sample Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org]

Dear R helpers, I have a data set with 4 types (W, C, E & S). Now I have values for all types plus all possible combinations (the order is unimportant): W, C, WC, E, WE, CE, WCE, S, WS, CS, WCS, ES, WES, CES & WCES. Ideally I would like to represent everything in one graph and as concise as possible. Drawing 4 circles and depicting it as overlap just gives me 13 out of the 15

Dear useRs, I'd like to announce a new package called geozoo, short for geometric zoo. It's a compilation of functions to produce high-dimensional geometric objects, including hypercubes and hyperspheres, Boy's surface, the hyper torus and a selection of polytopes. For a complete list, as well as images and movies, visit

Hi, I have a question on testing spatial autocorrelation on raster data including NA-values. In particular, I like to calculate Moran?s I and Geary?s C indices by using inverse distance weighting matrices. Calculating Moran?s I with moran.test works fine, because the function contains the option "na.action=na.pass". Unfortunately, the function geary.test does not contain this

Hi List, I have used XML in R version 2.9.2. The code is working fine using Rv2.9.2 and its related XML package. Now I am using Rv2.13.1 and its related XML package, but I get the following error: Error in UseMethod("xmlName", node) : no applicable method for 'xmlName' applied to an object of class "NULL" Any idea? Thanks Arvin [[alternative HTML version

Hi again, I measured my fragment reconstructions against the compiler output from GCC and well - the new codes perform better, so I brushed up my gcc inline assembler skills and made a port. Code is here: http://torus.untergrund.net/code/mmxfrag.c All routines perform much better now. Inter2 alone got a speedup of factor 5 on Pentium-M. Athlon CPU's execute roughly 3 times faster.

Dear list useRs, I have to generate a random set of coordinates (x,y) in [-1 ; 1]^2 for say, N points. At each of these points is drawn a circle (later on, an ellipse) of random size, as in: > N <- 100 > > positions <- matrix(rnorm(2 * N, mean = 0 , sd= 0.5), nrow=N) > sizes<-rnorm(N, mean = 0 , sd= 1) > plot(positions,type="p",cex=sizes) My problem is to