similar to: Problem (environment?) with R CMD CHECK

... and also all objects that actually live in the .GenericArgsEnv environment. > all( sapply( ls( .GenericArgsEnv ), function(.) is.null(environment(.)) ) ) [1] TRUE This has the consequence preventing argsAnywhere to get the args of seq.int. > argsAnywhere( seq.int ) Error in exists(".packageName", envir = envir, inherits = FALSE) : use of NULL environment is defunct

Hi All, I am encountering the following error while performing check on the R package we built: R CMD check packagename_0.99.0.tar.gz During startup - Warning message: Setting LC_CTYPE failed, using "C" * using R Under development (unstable) (2013-05-14 r62742) * using platform: x86_64-unknown-linux-gnu (64-bit) * using session charset: ASCII * checking for file

R CMD check --use-valgrind <packagename> used to run valgrind on the tests in the tests directory of the package. But it seems to have stopped. R-2.9.1 doesn't -- at least on my box -- and neither does R-2.10.0 (devel). I am not sure when this stopped. I think 2.8.x did this. The only old R I have around is 2.6.0 and it certainly does. R CMD check --help for 2.9.1 says (among other

Background: OS: Linux Mandrake 10.1 release: R 2.1.1 editor: GNU Emacs 21.3.2 front-end: ESS 5.2.3 Colleagues Since I upgraded to R 2.1.1, I am getting a an error message from R CMD INSTALL packagename that says R_HOME ('/usr/local/lib/R') not found. That's not too surprising, since R is now in /usr/lib/R, but what is confusing me is that R CMD INSTALL -l /path/to/library

tl;dr: S3 lookup no longer works in custom non-namespace environments as of R 3.6.1. Is this a bug? I am implementing S3 dispatch for generic methods in environments that are not packages. I am trying to emulate the R package namespace mechanism by having a ?namespace? environment that defines generics and methods, but only exposes the generics themselves, not the methods. To make S3 lookup work

Hi, I've seen that some packages use .packageName internally to infer their own name. Is that officially supported? I could not find it documented anywhere. There's utils::packageName(), which internally looks for .packageName. However, if the latter is not found, it may return NULL whereas an error would be more appropriate if a package name is expected. Using .packageName would give

Hi, i want to use Puppet to install all packages from a webserver (no repository) . Therefore I wrote following Script: class install_package { case "$operatingsystem" { SLES: { notify {"${operatingsystem} ${operatingsystemrelease} detected":} notify {"Installing $packagename now:":}

I recently installed R version 2.01 for OS X (version 10.3.6). I now get the following error message when I try to use the postscript function: Error in get(name.opt, envir = envir) : Object ".PSenv" not found This did not happen in previous versions of R (i.e. 1.9). I do not get this error message when using the pdf graphics device driver. Thanks, Jeff Freedman

Hi, Apologies if it has already been posted. I searched the archives and couldn't find the answer to my problem. I am building a R package and while checking it with R CMD check, I get the following error, * checking whether package 'drCCA' can be installed ... ERROR Installation failed. 00install.out shows following message, ** building package indices ... Error in

While poking around the C++ code in the dplyr package I ran across the idiom Rf_defineVar(symbol, R_UnboundValue, environment) to [sort of] remove 'symbol' from 'environment' Using it makes the R-level functions objects(), exists(), and get() somewhat inconsistent and I was wondering if that was intended. E.g., use SHLIB to make something from the following C code that

I've noticed the following oddity where capture.output() prevents eval() from evaluating an expression in the specified environment. I'm not sure if it is an undocumented feature or a bug. It caused me many hours of troubleshooting. By posting it here, it might save someone else from doing the same exercise. Start by defining foo() which evaluates an expression locally in a given

Hi I migrated from Linux to Mac, but I don't this has anything to do with it, but I am not sure. I am writing a small logger package, in which I have a file aaa.R: ,---- | .logData <- new.env() | assign("loggingThreshold", 10, envir = .logData) | assign("logToFile", FALSE, envir = .logData) | assign("logFileName", NULL, envir = .logData) | |

my understanding of `eval' behaviour is obviously incomplete. my question: usually `eval(expr)' and `eval(expr, envir=parent.frame())' should be identical. why does the last `eval' (yielding `r3') in this code _not_ evaluate in the local environment of function `f' but rather in the global environment (if `f' is called from there)?

Folks, Is there any implementation available in R for the simultaneous selection of lag order and rank of a nonstationary VAR as described in Chao & Phillips (1999): Model selection in partially nonstationary vector autoregressive processes with reduced rank structure, J. Econ. (91). Or any other systematic procedure for the consistent selection of lag order and cointegration rank? I

Hi, I've just created: newEnvEval <- function(..., hash=FALSE, parent=parent.frame(), size=29L) { envir <- new.env(hash=hash, parent=parent, size=size); evalq(..., envir=envir); envir; } # newEnvEval() so that I can create an environment and assign objects to it in one go, e.g. env <- newEnvEval({ a <- 1; b <- 2; }); print(env$a); Does this already exists somewhere?

In a short course he is teaching here, Bill Venables has shown how to cache the results of a recursive calculation so that later invocations of the functions are speeded up. His example is an ingenious way of calculating all the subsets of size r from a set of size n. His version of this function for R stored these cached values in the global environment. I suggested that it might be preferable

Hi all, I have following environments loaded with my current R session: > search() [1] ".GlobalEnv" "package:stats" "package:graphics" "package:grDevices" [5] "package:utils" "package:datasets" "package:methods" "Autoloads" [9] "package:base" How can I find the objects

Dear R-helpers, I have been trying to carry out some variance ratio tests such as Lo-MacKinlay test and Chow-Denning test. However, When I write the function LM <- Lo.Mac(y,kvec) or any other functions I don’t get the results displayed. The only sign I get is < I don’t understand what’s wrong (is it the package, misspecification of the function, Vista). I am really stuck in and I would be

Hi R users! I was looking at some of the example code for the "environment" function. Here it is: e1 <- new.env(parent = baseenv()) # this one has enclosure package:base. e2 <- new.env(parent = e1) assign("a", 3, envir=e1) ls(e1) ls(e2) exists("a", envir=e2) # this succeeds by inheritance exists("a", envir=e2, inherits = FALSE)

Is it possible to create an environment that has no parent (or an empty parent)? I would have thought e <- new.env(parent=NULL) would work, but it acts as though the parent is the base namespace: > get("close", envir = e) function (con, ...) UseMethod("close") <environment: namespace:base> I can use inherits = FALSE in this case: > get("close",