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Hi all, I am quite new in the world of parallelization and I wonder if there is a way to increase the speed of creation of a parallel socket cluster. The time spend to include threads increase exponentially with the number of thread considered and I use of computer with two 8 cores CPU and thus showing a total of 32 threads in windows 7. Currently, I use the default parameters (type =

Dear R community, I do know, that an R function is constructing a copy of any object passed as argument into a function. I program on a larger S4 project for a package, and I arrived at a point where I have to think a little harder on implementation style (especially to spare users complex object handling). I have a function foo(), taking as input arguments two S4 objects of different class

Hi everyone, I am using package knitr, FIRST TIME. I don't have access to RStudio. Read through Yihui's page, didn't find it helpful. Stuck on terms Rnw, GFM (GitHub Flavored Markdown). Never used Sweave, so the reference is not helping. Is there a simple step-by-step example WITHOUT RStudio? My question: What is the procedure? The documentation explains the functions, but does

Is there anyway with some experience in using armadillo in R C++ extensions? My problem is the following: I programmed a function in a header looking like #include <armadillo> inline arma::vec foo(input) { ... do something return an arma::vec object } compiling this via R CMD INSTALL packagename (PKG_CXXFLAGS = -I/folder/of/armadillo and armadillo_bits in my package) I get the

Dear R-Users, I need a very fast and reliable database solution so I try to serialize a data.frame (to binary data) and to store this data to an SQLite database. This is what I tried to do: library(RSQLite) con <- dbDriver("SQLite") db <- dbConnect(con, "test") dbSendQuery(db, 'CREATE TABLE frames("simID" INT, "data" BLOB)') data.bin <-

Dear R-Devels, I am writing right now my own package that makes use of 'tempfile' and there within with 'path.package'. When I install it, I get the error: Error in path.package("mypackage") : none of the packages are loaded. Here is the code, I use in my package: ".defaultDBPath" <- function() { db.path <- tempfile(pattern =

Dear R-Devels, I installed on my Mac OS X 10.9 system several R-3.0.2 versions, differing by the compiler used to build R. I can load them via my environment-modules. Now, what I want to have is for each version an own working directory such that .RData and .Rhistory are not loaded from a different version. I did that by adding setwd(?~/Library/R/R-gcc") to my Rprofile.site. This works

Dear R-users, I am working on a project that uses S4-classes. At some point I encountered the problem - well known to R - that I have to pass 3 different objects to a function, that should modify several slots of them and of course there is no passing by reference in R. Then I read this thread by Steve Lianoglou: https://stat.ethz.ch/pipermail/r-help/2010-August/250468.html, which offers from

Dear R-users, I have the following problem: I am running the function 'pvcm' from the 'plm' Panel Data package. Inside this function 'solve' is called and gives for a certain individual data series an exception because of singularity. I would like to know which individual data series causes this error. I tried to debug it, but this is truly painful, as solve is called

Dear R-Devels, I am designing right now a package intended to simplify the handling of market microstructure data (tick data, order data, etc). As these data is most times pretty huge and needs to be reordered quite often (e.g. if several security data is batched together or if only a certain time range should be considered) - the package needs to handle this. Before I start, I would like to

Dear R-Users, I am having some trouble running an R extension on our cluster (linux). I call C++ code in which I use a) the Scythe Statistical Library and b) OpenMP. Most of the jobs run without a problem, but some arbitrary jobs throw an exception of the kind printed below while running in a parallel loop. The behavior is to me not reproducible, although at every run of 729 Jobs it at least