similar to: Suggestion: Not having to export .conflicts.OK in name spaces

Hi, in (at least) R v2.14.2 and R v2.15.0 alpha, '.conflicts.OK' is not exported and hence to seen by library(). DETAILS: In R-devel thread '[Rd] Suggestion: Not having to export .conflicts.OK in name spaces' on Mar 17-22, 2010 [https://stat.ethz.ch/pipermail/r-devel/2010-March/057017.html] it was discussed that one had to export '.conflicts.OK' in the namespace,

Hi all, The dict package provides a dictionary (hashtable) data structure much like R's built-in environment objects, but with the following differences: - The Dict class can be subclassed. - Four different hashing functions are implemented and the user can specify which to use when creating an instance. I'm sending this here as opposed to R-packages because this package will

Hi All, I have written a Java MapReduce code that runs on Hadoop. My intention is to create an R package which will call the Java code and execute the job. Hence, I have written a similar R function. But when I call this function from R terminal, the Hadoop job is not running. Its just printing few lines of warning messages and does nothing further. Here is the execution scenario: *>

Hello, (Dear Richard, I hope you don't mind being Cc:'d on this thread in R-devel. This is one of the ways we can prevent similar problems from happening in the future.) Sometimes, package authors who use both exportPattern('.') and utils::globalVariables(...) get confusing WARNINGs about undocumented exports: https://stat.ethz.ch/pipermail/r-package-devel/2024q1/010531.html I

Is there a way to query a package to see what dynamic shared libraries are loaded with it? The reason I ask is because during development, I want to unload libraries so that they can be reloaded without restarting R. I want to make it automatic so that you can just pass in the name of the package, and it will unload all the relevant shared libraries. Typically, the name of the shared library is

I am only reporting this because it is the current release branch and not devel. R-2.13 from svn revision 55957 builds fine, but fails make check. This happened with a fresh svn checkout 12 hours ago and it still happens as of now. Two days ago I could build R-2.13 and it passed make check on the same system, so I doubt it is a system problem. But just in case my system details are a fresh

Hi, > x <- charToRaw("ABCDEFGx") > x[c(1:3, NA, 6)] <- x[8] *** caught segfault *** address 0x8402423f, cause 'memory not mapped' Possible actions: 1: abort (with core dump, if enabled) 2: normal R exit 3: exit R without saving workspace 4: exit R saving workspace Cheers, H. > sessionInfo() R version 2.10.0 Under development

I think Rscript has a problem running files that have mac encodings for newline (^M rather than ^J on linux). If I source the file within R, it works okay: > source('j.R') [1] "MEA_data/sernagor_new/CRX_P7_1.txt" But if I run the file using Rscript on a linux box I get a strange error message: $ Rscript --vanilla j.R " Execution halted The example script j.R is at

Is it safe to call setGeneric twice, assuming some setMethod's for the target function occur in between? By "safe" I mean that all the setMethod's remain in effect, and the 2nd call is, effectively, a no-op. ?setGeneric says nothing explicit about this behavior that I can see. It does say that if there is an existing implicity generic function it will be (re?)used. I also tried

Hi, from 'Writing R Extensions' [R version 2.11.0 Under development (unstable) (2010-03-16 r51290)] one can read: "The optional `Imports' field lists packages whose name spaces are imported from but which do not need to be attached. [...] Versions can be specified, but will not be checked when the namespace is loaded." Is it a design decision that version specifications

Hi the list, I am writing a package that happen to not be compatible with linux because I did not know that the function "savePlot" was available only on windows. Is there a list of "incompatible" function? How can I get this kind of information? Thanks Christophe

It appears that the runtime for an R script can more than double if a few references to a function foo() are replaced by more explict references of the form pkgname::foo(). The more explicit references are of course required when two loaded packages define the same function. I can understand why use of this mechanism is not free in an interpreted environment like R, but the cost seems rather

Sorry mistake from me. This was another problem in my mind , but with RMySQL. Christian > library(RMySQL) > library(sqldf) > sqldf("Select * from mtcars") Fehler in mysqlNewConnection(drv, ...) : RS-DBI driver: (Failed to connect to database: Error: Access denied for user 'user'@'localhost' (using password: NO) ) Fehler in if (dbname ==

Hi, I'm working in R 2.11.1 x64 on Windows x86_64-pc-mingw32. I'm trying to insert a very large CSV file into a SQLite database. I'm pretty new to working with databases in R, so I apologize if I'm overlooking something obvious here. I'm trying to work with the American Community Survey data, which is two 1.3GB csv files. I have enough RAM to read one of them into memory,

Hi, I have just learned how to use compile and link libraries using "make" and how to create R projects using R CMD build or INSTALL. My understanding of both is somewhat limited and hence the question. I have a main library written in c which depends on other external libraries. Main library is to be called from R using .Call. The goal is to create a single R project that will

Hi everybody, I tried to analyze a custom Affymetrix 3'-biased Array. So I wanted to make a cdf package. (My CDF file size is 1.12Go). I tried several methods but the same error occured Method 1 > #Set the working directory > setwd("D:/Analyse R/Cel files") > #library to create cdf env > library("makecdfenv") >#Create cdf environment >pkgpath

Hi, I have a MapReduce Java code, which I am calling from R using rJava. I have prepared the R package and tested that successfully. But when I deployed the package in a cluster and executed it, I am getting ClassNotFoundException. If I run the same job directly without integrating with R, it runs perfectly. Here is my R code: library(rJava) muMstSpark <- function(mesosMaster = NULL, input =

On 14 October 2008 at 09:39, Simon Blomberg wrote: | Hi, is anyone else getting this error? Could this be a bug?: | | > update.packages(ask=FALSE) | Error in read.dcf(pkgpath, fields = fields) : | Line starting 'unix; ...' is malformed! | | > sessionInfo() | R version 2.8.0 RC (2008-10-12 r46696) | x86_64-pc-linux-gnu Confirmed in plain R using the same package built this

On 14 October 2008 at 09:39, Simon Blomberg wrote: | Hi, is anyone else getting this error? Could this be a bug?: | | > update.packages(ask=FALSE) | Error in read.dcf(pkgpath, fields = fields) : | Line starting 'unix; ...' is malformed! | | > sessionInfo() | R version 2.8.0 RC (2008-10-12 r46696) | x86_64-pc-linux-gnu Confirmed in plain R using the same package built this

Hi there, When I extract data from SQLite to R, the data types (or modes) of the extracted data seems to be determined by the value of the first row. Please see the following example. When I put the missing values first, the column extracted is of the mode character. > str(dbGetQuery(sql.industry, + "select pya_var from annual_data3 + order by