similar to: Possible bug in base::namespaceImportFrom?

Hi all, I have a problem with a package that imports two other packages which both export a method for the `[` primitive function. I set up a reproducible example here: https://github.com/kforner/namespaceImportFrom_problem.git Basically, the testPrimitiveImport package imports testPrimitiveExport1 and testPrimitiveExport2, which both export a S4 class and a `[` method for the class. Then: R

Dear list, It seems that a package (pkgB) using another package (pkgA) with S4 generics formed by taking existing functions (for example 'plot') must not import the existing functions ('plot') in its namespace to avoid the warning "replacing previous import: plot". Suppose we use the simple 'import' directive in the name space of pkgB. pkgA and pkgB files would

Hi, I've noticed an issue with S4 methods and namespaces which only arises in particular, difficult to reproduce configurations. One example is the ggbio package in Bioconductor, which currently emits these warnings when its namespace is loaded: ---------------------- library(ggbio) Loading required package: ggplot2 Attaching package: ‘ggbio’ The following object(s) are masked from

Doing it like this: genericForPrimitive <- function(f, where = topenv(parent.frame()), mustFind = TRUE) { ans = .BasicFunsList[[f]] ## this element may not exist (yet, during loading), dom't test null if(mustFind && identical(ans, FALSE)) stop(gettextf("methods may not be defined for primitive function %s in this version of R",

I have followed the instructions on how to build a Windows package and everything seems to work EXCEPT that I can't see the data files that I have loaded into the data directory. I have placed the appropriate data in the data directory (as in the instructions). There are 3 data sets, which I can see when I use the command in R. Details below. I have searched everywhere to try to fix this, but

PkgA wishes to write a method for 'unique' on S4 class 'A'. ?Methods indicates that one should setGeneric("unique") setClass("A") unique.A <- function(x, incomparables=FALSE, ...) {} setMethod(unique, "A", unique.A) Both S3 and S4 methods need to be exported in the NAMESPACE import(methods) S3method(unique, A)

Here's another issue (that might well be operator error): > install.packages("lattice") ... ... ** save image Loading required package: grid Error in importIntoEnv(impenv, impnames, ns, impvars) : object(s) 'dev.list', 'cm.colors', 'gray', 'heat.colors' are not exported by 'namespace:graphics' Execution halted ERROR: execution of

I decided to update my packages and then had a problem with loading the Matrix package http://cran.at.r-project.org/bin/windows/contrib/2.4/Matrix_0.9975-9.zip This is what happened when I tried to load it in: > library("Matrix") Error in importIntoEnv(impenv, impnames, ns, impvars) : object 'Logic' is not exported by 'namespace:methods' Error:

I find system.file() handy for writing examples, but if the user mistypes its arguments or if a package is not up to date its return value of "" can lead to trouble. This forces the example to be wordier than I'd like. E.g., the following example works > scan(what="", sep="\n", system.file("DESCRIPTION")) Read 9 items [1] "Package:

Hi all, I recently (today) updated the Matrix package and installed the latticeExtra package, but then when I tried to load the lme4 package, I got the following error message:- > library(lme4) Loading required package: Matrix Loading required package: latticeExtra Error in importIntoEnv(impenv, impnames, ns, impvars) : object(s) '.__C__lmeRep' are not exported by

I assigned a class the first problem in Pinheiro & Bates, which uses the data set PBIB from the SASmixed package. I have recently downloaded 2.0.1 and its associated packages. On trying library(SASmixed) data(PBIB) library(nlme) plot(PBIB) I get a warning message Warning message: replacing previous import: coef in: namespaceImportFrom(self, asNamespace(ns)) after library(nlme) and a

I've used packages for some years now and seldom had any trouble using the tgz files. Now I've come across something I've never seen before. > version _ platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 2 minor 1.0 year 2005 month 04 day 18 language R > library(lme4) Loading required package: methods

Dear R users, Im trying to load *"xlsx"* package which depends on *"xlsxjars"* and * "rJava"* packages. All the 3 packages (zipped files) are installed successfully in windows. I have added "C:\Program Files\Java\jre1.6.0_03\bin\client" to the PATH variable to get rJava working. However, the following error message results after inputting

Dear members, I can't install "nser" package. It is not in cran but install_version and install_github both are not working: > install_version("nser",version = "1.4.0") Downloading package from url: https://cran.rstudio.com//src/contrib/Archive/nser/nser_1.4.0.tar.gz These packages have more recent versions available. It is

I also just noticed that there is a bug: identical(ans, FALSE) should be is.null(ans). So no error is thrown: > methods:::genericForPrimitive("foo") NULL Will fix. On Wed, Jan 21, 2015 at 3:13 PM, Peter Haverty <haverty.peter at gene.com> wrote: > Doing it like this: > > genericForPrimitive <- function(f, where = topenv(parent.frame()), mustFind > = TRUE) {

It says that nser requires the most recent version of magrittr that you do not have installed. You must update magrittr before attempting to install nser: update.packages(oldPkgs = "magrittr") or at the prompt you were presented before, choose to update magrittr before installing nser. On Sun, Apr 9, 2023, 17:55 akshay kulkarni <akshay_e4 at hotmail.com> wrote: > Dear

Hi, I vaguely recall this was discussed in the past, but I cannot remember the context. The code below shows the problem: ---<---------------cut here---------------start-------------->--- R> library(stats4) R> library(lme4) Loading required package: Matrix Attaching package: 'Matrix' The following object(s) are masked from package:stats : xtabs

Hi all, The function call series genericForPrimitive -> .findBasicFuns -> .findAll happens 4400 times while the GenomicRanges package is loading. Each time .findAll follows a chain of environments to determine that the methods namespace is the only one that holds a variable called .BasicFunsList. This accounts for ~10% of package loading time. I'm sure there is some history to that

Hi, further down from the problem I asked about yesterday I encounter the following problem (please appologize for the lengthy mail - I have not found a brief example making the issue clear): - using R packages making use of namespaces & - S4 classes when using --with-package-versions in the install call: Pkgs install ok and the first pkg 'base' can be loaded in R

i think these two code snippets exhibit a bug. they are identical but for the inclusion of an initial line in snippet [2] [1] setMethod("Math", signature(x = "numeric"), function(x) "Works") getGeneric("sqrt")(4) [2] getGeneric("sqrt")(4) setMethod("Math", signature(x = "numeric"), function(x) "Works")