similar to: Random Cluster Generation Question

I am trying to generate two dimensional random coordinates. For randomly distributed data I have simply used >xy<-cbind(runif(100),runif(100)) However I also want to generate coordinates that are more uniformly distributed, and coordinates that are more contagiously distributed than the above. Can anyone make any suggestions Thanks. Dr Terry Beutel Rangeland Scientist Animal

Hi all, before I roll my own, naive implementation of a particular spatial point process, I thought I'd ask whether this has already been done. Specifically, I am looking for essentially the opposite of the Strauss and Mate'rn processes included in library(spatial) and documented in MASS. I am examining daily travel patterns, focusing on just the destinations of trips, not the

Dear All, I was searching through the spatstat manual in order to find a function to simulate a Poisson pattern only within a fixed radius (circular moving window) around individual points. If points are distributed heterogeneously over a large area this may help to only assess deviation from CSR within the window and thus does not require additional information on a covariate. I could not find

Dear All, I'd like to fit a "kind" of logistic model to small data-set using nonlinear least-squares regression. A transcript of R-script are reproduced below. Estimated B and T (the model's coeff, herein B=-8,50 and T=5,46) seem appropriate (at least visually) but are quite diff from those obtained w/ SPSS (Levenberg-Marquardt): B=-19,56 and T=2,37. Am I doing something wrong in

Deadline - 6th February 2015 Five PhD awards to begin September 2015, (one including an additional MRes award in Urban Sustainability and Resilience in collaboration with UCL?s Centre for Urban Sustainability and Resilience), are available for work associated with the Economic and Social Research Council (ESRC) funded Consumer Data Research Centre, based at University College London (UCL) and the

Coming to Hamburg next week ? The European Open File System (EOFS) and Open Scalable FileSystem (OpenSFS) would love to see you at ISC?12 June 17?-21, 2012, in Hamburg, Germany. Visit our booth (#765) to meet Lustre experts, participate in informative talks, ask hard questions, and join the various events we are hosting. First off, there''s a full scheduled of Lustre talks, each with

Coming to Hamburg next week ? The European Open File System (EOFS) and Open Scalable FileSystem (OpenSFS) would love to see you at ISC?12 June 17?-21, 2012, in Hamburg, Germany. Visit our booth (#765) to meet Lustre experts, participate in informative talks, ask hard questions, and join the various events we are hosting. First off, there''s a full scheduled of Lustre talks, each with

Coming to Hamburg next week ? The European Open File System (EOFS) and Open Scalable FileSystem (OpenSFS) would love to see you at ISC?12 June 17?-21, 2012, in Hamburg, Germany. Visit our booth (#765) to meet Lustre experts, participate in informative talks, ask hard questions, and join the various events we are hosting. First off, there''s a full scheduled of Lustre talks, each with

On Thu, 04 Jun 2009 22:55:04 +0200, Pertti Kellomäki <pertti.kellomaki at tut.fi> wrote: > Hi Adam, > > John is right, the TCE stuff would be useful for you. Our > compiler targets a processor template that the designer can > populate pretty freely. The compiler then reads the architecture > description and creates an LLVM backend on the fly. > > Please don't

I am making a barplot using barplot2 from gplots where each bar represents a specific tree species. I have formatted the species names on the x-axis so that the genus name is above the species name and have then rotated the labels 45 degrees to save room. This is my code: >columncolor<-c("grey20", "grey20", "grey20", "grey70",

Hi, I am having trouble understanding how to approach a simulation: I have a sample of n=250 from a population of N=2,000 individuals, and I would like to use either permutation test or bootstrap to test whether this particular sample is significantly different from the values of any other random samples of the same population. I thought I needed to take random samples (but I am not sure how

Hello everybody Anyone, to know a gateway that works with nextel simm cards? I'm looking for them, in internet, but I did'n look. Best regards -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20080129/0527ba52/attachment.htm

hi, everybody, please help me with this question: If I want to do iteration for 1000 times, however, for the 500th iteration, there is NaN appears. Then the iteration will stop. If I don't want the stop and want the all the 1000 iterations be done. What shall I do? suppose I have x[1:1000] and z[1:1000],I want to do some calculation for all x[1] to x[1000]. z=rep(0,1000) for (i in 1:1000){

Dear R experts: I need to get this plot, but also with 95% confidence interval bands: hour <- c(1, 2, 3, 4, 5, 6) millivolts <- c(3.5, 5, 7.5, 13, 40, 58) plot(hour, millivolts, xlim=c(1,10), ylim=c(0,1000)) pm <- lm(millivolts ~ poly(hour, 3)) curve(predict(pm, data.frame(hour=x)), add=TRUE) How can the 95% confidence interval band curves be plotted too? Sincerely,

Hello - and sorry for a possibly stupid question, I'm just starting to learn rgenoud. I am defining a function with 5 parameters (p1, p2, p3, p4a, and p4b) and then want to optimize it using genoud. But I am doing something wrong. Before genoud is even able to run it says: "Error in p2 + 1.2 : 'p2' is missing". I assume I did not specify it right. My code is below. The task

Hi Folks, I'm advising someone who's a beginner with R, and therefore wants the simplest answer possible. The issue is to produce a plot using plot(x,y,...) where, on the X-axis, the tick-marks should be on the lines of: -- Range of X-axis: 0:1000 -- tick-marks labelled "0","200",...,"800","1000" -- unlabelled tick-marks every 50 from 0 to

Dear expert How can we plot diagonal across (from bottom-left-hand corner to top right-hand corner), at any given coordinate range For example > plot(c(-2,3), c(-1,5), type = "n", xlab="x", ylab="y", asp = 1) or > plot(c(0,1000), c(0,334), type = "n", xlab="x", ylab="y", asp = 1) I tried abline with the following but failed:

Hi, I need a bit of guidance with the sapply function. I've read the help page, but am still a bit unsure how to use it. I have a large data frame with about 100 columns and 30,000 rows. One of the columns is "group" of which there are about 2,000 distinct "groups". I want to normalize (sum to 1) one of my variables per-group. Normally, I would just write a huge

I've been using asterisk for 3+ years now, I love it, but it doesnt love me back. :-) It was crashing frequently and seemingly randomly prior to this latest upgrade. Not sure what version it was running prior to upgrade (it was probably an old CVS HEAD from 2+ years go.) Anyway, currently running 1.4.21.2. == Problem == Problem is that its crashing for seemingly no reason at all, no

I am considering putting together a 'micro server' that I can easily travel with. I am seriously considering the decTOP, as at $99 (plus the cost of a 256MB SIMM) is amazingly priced. But I want to run on batteries, so trash a real hard drive. I have a couple of IDE to Compact flash adapters that support 2 flash cards. So I was considering a 4Gb (or even 2Gb) cheap real fash card