similar to: help with nprmpi

Dear all, I have a large dataset of randomly generated weighed sample for which I wish to compute a kernel density estimate. I have used the "np" package successfully for smaller datasets, however for the larger ones, they take too long when using the cross validation options for bandwidth selection ("cv.ls" or "cv.ml"). Of course, they are much quicker with

Dear Readers, Sorry to bother you. Have been try to read my data into R (something I have done in the past) but having an error message with this one. Any possible help please? Thanks. Oz This is the error I am getting (please see bold): > setwd("D:/Replication/") >library(gmp) > dataFrame2=read.table("data.txt",header=T) Error in scan(file, what, nmax,

Dear useRs, We are pleased to announce that versions 0.50-1 of the np package and its MPI-aware counterpart, the npRmpi package, are now available on CRAN: http://cran.r-project.org/web/packages/np/index.html http://cran.r-project.org/web/packages/npRmpi/index.html In these versions we add new functionality: - new methods for multivariate mixed-data bandwidth selection for unconditional and

Dear useRs, We are pleased to announce that versions 0.50-1 of the np package and its MPI-aware counterpart, the npRmpi package, are now available on CRAN: http://cran.r-project.org/web/packages/np/index.html http://cran.r-project.org/web/packages/npRmpi/index.html In these versions we add new functionality: - new methods for multivariate mixed-data bandwidth selection for unconditional and

Dear R users, A parallel implementation of the np package titled `npRmpi' is now available on CRAN. This package can take advantage of multiple core computing environments to reduce the run time associated with the methods contained in the np package. Kindly see the vignette for details and examples on modifying np code and running it in a parallel environment. You are requested to seek

Dear R users, A parallel implementation of the np package titled `npRmpi' is now available on CRAN. This package can take advantage of multiple core computing environments to reduce the run time associated with the methods contained in the np package. Kindly see the vignette for details and examples on modifying np code and running it in a parallel environment. You are requested to seek

Hi List, I'm using npRmpi to run some density equality tests and place the output into a matrix. I've put together some crude functions for the purpose, but I'm receiving the following error when npdeneqtest() reached the bootstrap; FATAL ERROR: Memory allocation failure (type DBL_VECTOR). Program terminated. I'm running Ubuntu Lucid 64bit with 4 cores and 12GB of memory. My R

Dear mac folks, I have started porting a large legacy toolset maintained in windows and heavily mpi laden so it can be used across platforms in R... so I am building a package out of it. On this note, I am noticing that almost all of the mpi dependent packages do not compile on the CRAN repositories.... with the basic issue that it appears it can not find mpi installed: configure: error:

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.

Running linux 10.04 ubuntu. Looks like Ubuntu automatically updated to version 2.13. I was running version 2.12 until today. But now I'm getting error messages when I use the require or library command and one of the packages I've downloaded in the past. For example: > require(quantmod) Loading required package: quantmod Warning message: In library(package, lib.loc = lib.loc,

Dear all, I'm trying to rerun some data linkage exercises in R (they are designed to be done in SPSS, SAS or STATA) The exercise in question is to relabel the column "treat" to "1", if "yearsep" is smaller than 1988 and columns "proc1"-"proc3" contain the values 56.36 or 59.81. My pathetic solution to do this in R currently looks like

Hi, I just installed the 2.13 version for Mac (without uninstalling the previous versions). I transferred the folder library containing the packages I normally use to the 2.13 library folder. When I require any package this is what I get: require(ape) Loading required package: ape Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object

Hi, I am trying to install the network package at my work computer. I'm using R version 2.12.0 (2010-10-15) At home I can use the Package Installer, but at work this is blocked by our firewall. What I usually do is download the Mac binary and copy it to R.Framework/Resources/Library, but this isn't working with network. I get the following, which I think means I have the wrong binary for

Hello, on Mon Nov 9 17:57:04 CET 2009 I've sent an e-mail to the R mailing list (see below), about a failing regression test. Yet nobody replied, while (obviously) the situation didn't change (installation still fails, and might continue to do so in the future). I wonder whether somebody has to say something here? Shall a bug report be submitted? Or will R 2.10.1 have fixed the bug?

Problem: I updated from r.2.12 to r.2.13 and when I use library(car) for example it says: > library(car) Error in library(car) : there is no package called 'car' So I found that the packages I had before are located in: C:\Users\Documents\R\win-library\2.12 Now they're in: C:\Users\Documents\R-2.13.0\src\library I tried to use control+a and drag them over to the folder

I'm preparing to install 2.13, so I need a clarification about package location on disk. On window the packages I have installed are under C:\Users\mvalle\R\win-library\2.12 and the ones that come with R are under "C:\Program Files\R\library" If I execute update.packages() from the R gui, it fails because it finds e.g. Matrix as a package that should be updated but the process

Hi, everybody I'm setting up a new CRAN mirror and filled up the disk space the server allotted me. I asked for more, then filled that up. Now the system administrators want me to buy an $800 fiber channel card and a storage device. I'm going to do that, but it does make want to suggest to you that this is a problem. CRAN now is about 68GB, and about 3/4 of that is in the bin folder,

Hello, I'm trying to install the dspam plugin to dovecot. So far, I've Installed dovecot 1.0.2 from RPM and set up Installed dspam 3.8.0, set up and integrated with postfix, using dspam as local delivery agent before dovecot's deliver Downloaded the dovecot 1.0.2 source in order to compile the C file http://johannes.sipsolutions.net/Projects/dovecot-dspam-integration/

Hi, Has something changed regarding the useDynLib in the NAMESPACE file in packages? I've written a package that works in e.g. 2.12/2.13 but simply cannot find the dynamic library under windows. The version on CRAN is older than the one I'm talking about and depends on a newer version of R but I want to make the package available to people with older versions. >

I get this (with R-2.12 and R-2.13, didn't try with earlier versions): > max(c(NaN, NA)) [1] NA > max(c(NA, NaN)) [1] NaN I get the same thing with min(). The fact that the result of 'max(x)' or 'min(x)' depends on the order of the elements in 'x' is surprising. It also seems to contradict the man page: By definition the min/max of a numeric vector