similar to: Random Fields

I have asked the same question on stackoverflow but did not get a satisfying answer. I am trying to simulate a lognormal spatial random field but I need the simulated value in a certain range. So I need some easy to use functions to generate a truncated Gaussian field to start with. To be specific, I need a function like GaussRF from the RandomFields package or grf from the geoR package to

Hello I am trying to install the RandomFields package by using install.packages("RandomFields") but the process fails. I think that if I pass to the g++ compiler the -lgfortran option might work. Could you please help me do this? I would like to thank you in advance for your help Best Regards Alex [[alternative HTML version deleted]]

I have been unable to install the package RandomFields. I am using R 2.9.0-4 on Ubuntu 9.04. To install, I use the command: sudo R CMD INSTALL RandomFields_1.3.37.tar.gz The output follows below. Any help Would be appreciated. D. Hoysak Brandon University * Installing to library ?/usr/local/lib/R/site-library? * Installing *source* package ?RandomFields? ... ** libs g++

I have been unable to install the package RandomFields. I am using R 2.9.0-4 on Ubuntu 9.04. To install, I use the command: sudo R CMD INSTALL RandomFields_1.3.37.tar.gz The output follows below. Any help Would be appreciated. D. Hoysak Brandon University * Installing to library ?/usr/local/lib/R/site-library? * Installing *source* package ?RandomFields? ... ** libs g++

i played around and i get the hang of save and load. I just have two final questions : 1) is loading the RandomFields package the only way to check if a file ( created through the save function ) is out there or not ? Because, I generally won't know if one has been created yet or not. 2) Suppose, you have the case where you created and saved a file. When you do an ls() without loading that

I would like to compute the MC test (rfm.test) available in the package MarkedPointProcess (for the data BITOEK for example) in order to test the dependence between the marks and their locations. Why the syntax of rfm.test is false here? I have the message : ****************************** ML WARNING! Forbidden values! -- if there are too many warnings try narrower lower and upper bounds for the

We've added a column at http://cran.r-project.org/web/checks/check_summary.html of test results using the Sun Studio compiler: it is intended that these will be updated weekly. The Sun Studio compiler is that used on Solaris: these runs were on the Linux version. All the other platforms are using gcc 4, so this provides an opportunity for checking for use of gcc-specific features and

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

Hello, I am presently trying to get a feel for the various packages out there that allow me to both analyze and simulate random fields. The package RandomFields is nice, but there are still a few aspects of its implementation that are confusing to me and I was hoping someone could help clarify things for me. It could also be that my questions reflect a lack of knowledge pertaining to random

I don't understand what is happening! I have a (large) object sim1, an matrix list with dim c(101,101) where each element is an 3*3 matrix. I am subsetting that with a matrix coo, of dim c(100,2), of unique indices, but the resulting object has length 99, not 100 as expected. Code reproducing the problem follows: library(RandomFields) set.seed(123) sim0 <- GaussRF(x=seq(0, 100, by=1),

I am getting the above warning following loading of Geneland 3.1.5 on unix , while a simple plot sends output to the pdf file ( see attached code) no output results from Geneland functions, resulting in empty pdf files > library (Geneland) Loading required package: RandomFields Loading required package: fields Loading required package: spam Package 'spam' is loaded. Spam version

Hi, I'm having some difficulty installing the RandomFields package in R 1.7.0 under FreeBSD. I've installed the geoR package with no difficulties. Following are the errors that I get: * Installing *source* package 'RandomFields' ... ** libs c++ -I/usr/local/lib/R/include -I/usr/local/include -mieee-fp -fPIC -O -pipe -c MPP.cc -o MPP.o c++ -I/usr/local/lib/R/include

Hi R people: I am new to R. I am writing a function to (1) produce a sparse stochastic Gaussian 2D field and (2) perform a systematic transect sampling on this field, this carried out many times in a simulation framework. My function does a good job at producing the random field (a matrix of zeros and some manifestations of the stochastic process, depending on a parameter of the function

Hi all, anyone has an idea how I could fix this? \donttest{ ## Set colors from colorspace package with a fallback col <- try(colorspace::rainbow_hcl(5), silent = TRUE) %||% rainbow(5) } The problem is that this makes R CMD check freak out (http://www.r-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/falsy-00check.html) if the colorspace package is not declared as a dependency.

Not really a bug (I eventually discovered), but ... When running GaussRF()/DoSimulateRF() with n>1, the default pch="!" prints backspaces to the terminal, which causes problems (LaTeX barfs) if you're running this within an Sweave() job. Setting RFparameters(pch="") fixes the problem. Could put this in the documentation, but I don't know where you could

The package list was accessed October 28, 10:13 am MST using Windows XP and mirror USA (CA 1). Bill Morphet, Ph.D.

Dear List I am using the RandomFields package, and I have a problem when 2d-kriging, with an anisotropy, some values from an irregular network. It works well when : - 2d-kriging, without any anisotropy, some data from an irregular network - 2d-kriging, with and without anisotropy, some data from a regular network - 3d-kriging, with and without anisotropy, some data from a regular network Here is

Hello everyone. I am trying to build up understanding in R by trying to develop just some simple scenarios. I would like to explain you what I am trying to do and what I did so far. I would like to put inside a RasterLayer (raster package) a Gaussian field (for given covariance) using grf function (geoR package) 1. First I created a Raster Layer object r <- raster() # Default values are

Hi, Please see the email exchanges below. I am having trouble generating output that is large enough for our needs, specifically when using the GaussRF function. However, when I wrote Dr. Schlather (the author of the GaussRF function), he indicated that there is also a limit imposed by R itself. Is this something that we can overcome? Thank you very much for any assistance you may provde.

I am receiving the above error ( full r session output below) the script runs OK in windows. and "genotypes" and "ploidy" are both correct arguments any suggestions would be most welcome Nevil Amos MERG/ACB Monash University School of Biological Sciences > library(Geneland) Loading required package: RandomFields Loading required package: fields Loading required