similar to: topenv of emptyenv

>>>>> Konrad Rudolph >>>>> on Sat, 23 Mar 2019 14:26:40 +0000 writes: >>>>> Konrad Rudolph >>>>> on Sat, 23 Mar 2019 14:26:40 +0000 writes: > I was surprised just now to find out that `topenv(emptyenv())` equals > ? `.GlobalEnv`, not `emptyenv()`. From my understanding of the > description of `topenv`, it

Dear R-users, Is there a way to test whether a particular environment e is equal to emtyenv(), or for that sake whether two environments e1 and e2 are equal? I tried a couple of ways to compare environments, but neither seem to work: > e1 <- new.env() > e2 <- new.env() > e1 == e2 Error in e1 == e2 : comparison (1) is possible only for atomic and list types > all.equal(e1,

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

Dear List I have experienced that objects generated with one of my packages used a lot of space when saved on disc (object.size did not show this!). some debugging revealed that formula and call objects carried the full environment of subroutines along, including even stuff not needed by the formula or call. here is a sketch of the problem ,---- | test <- function(x){ | x <-

Dear all, I have been trying to create an R package. This has been successfull until I tried to define classes. Currently, my procedure is the following: Start R, load the function and class definition >tmp <- function (x) {x} >setClass("rpa", contains = "list", where=topenv(parent.frame())) Use package skeleton to create directory structure:

Hi Martin, > On 22 May 2019, at 03:50, Martin Maechler <maechler at stat.math.ethz.ch> wrote: > > I'm pretty sure that all teaching and documentation about S and R > has suggested that print(f) and auto-printing should result in > the same output _ AFAIR also for S4 objects I agree with the principle that autoprint and print() should be equivalent for users. However

Thank you for your suggestion. I do know how to work around the issue. I usually build a fresh environment as a child of base-environment and then insurt the weights there. I was just trying to provide an example of the issue. emptyenv() can not be used, as it is needed for the eval (errors out even if weights are not used with "could not find function list"). For some applications

My understanding is that R will not make copies of lists if there is only one reference to the object. However, I've encountered a case where R does make copies, even though (I think) there should be only one reference to the object. I hope that someone could shed some light on why this is happening. I'll start with a simple example. Below, x is a list with one element, and changing that

Hi, this relates to the question "How to set a former environment?" asked yesterday. What is the best way to to return a function with a minimal environment from a function? Here is a dummy example: foo <- function(huge) { scale <- mean(huge) function(x) { scale * x } } fcn <- foo(1:10e5) The problem with this approach is that the environment of 'fcn' does not

On Tue, Oct 13, 2015 at 4:43 PM, Hadley Wickham <h.wickham at gmail.com> wrote: > Seems easy enough to write yourself: > > where <- function(x, env = parent.frame()) { > if (identical(env, emptyenv())) > return(NULL) > if (exists(x, envir = env, inherits = FALSE)) > return(env) > where(x, parent.env(env)) > } > > sample2 <-

I've just committed some changes to R-devel which affect environments. Specifically: - using NULL as an environment is now deprecated: use baseenv() instead. (baseenv() is already available in R 2.2.0, where it returns NULL. For most purposes it retains the same meaning in R-devel.) If you do use NULL, it will be converted to baseenv(), and a warning printed. For example: > f

I understand why the following happens ($.proto delegates to get, which ascends the parent hierarchy up to globalenv()), but I still find it anti-intuitive: > z <- 1 > y <- proto(a=2) > y$z [1] 1 Although this is well-documented behavior; wouldn't it uphold the principle of least surprise to inherit instead from baseenv() or emptyenv()? (See attached patch.) Spurious

the following is a trivialized version of some functional code i tried to use in r: (funcs = lapply(1:5, function(i) function() i)) # a list of no-parameter functions, each with its own closure environment, # each supposed to return the corresponding index when applied to no arguments sapply(funcs, function(func) func()) # supposed to return c(1,2,3,4,5) there is absolutely nothing unusual in

Hi, I have a S3 package with namespace called "myS3Pkg". Inside my package I would like to create a S4 class which extends (adds 2 slots) another S4 class from some other package. The class should be created in "myPkg" environment (and not global environment). Using: setClass("myS4class", representation("otherS4class", mydata = "numeric"),

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",

Dear R-Devel subscriber, first, let me express my thank to the R-Core team for the new release! I appreciate their efforts and time spent to enhance R. In accordance with the 'NEWS' file (see excerpt of it below), [... o Changed the environment tree to be rooted in an empty environment, available as emptyenv(). baseenv() has been modified to return an environment with emptyenv() as

Dear R-Devel subscriber, first, let me express my thank to the R-Core team for the new release! I appreciate their efforts and time spent to enhance R. In accordance with the 'NEWS' file (see excerpt of it below), [... o Changed the environment tree to be rooted in an empty environment, available as emptyenv(). baseenv() has been modified to return an environment with emptyenv() as

I?ve got the following scenario: I need to store information about an R function, and retrieve it at a later point. In other programming languages I?d implement this using a dictionary with the functions as keys. In R, I?d usually use `attr(f, 'some-name')`. However, for my purposes I do not want to use `attr` because the information that I want to store is an implementation detail that

Hi all, I have a problem where when I try to write to a 'vfat' partition (in Fedora Core 3, rsync 2.6.3) I get this error: -=-=-[ error ]-=-=- rsync: mkdir "/mnt/tle-bu/src0/tle-bu/231e2838-93b0-4f6f-8b8b-f09e24e1ed80" failed: No such file or directory (2) rsync error: error in file IO (code 11) at main.c(381) rsync: connection unexpectedly closed (8 bytes received so

For learning purposes mainly I attempted to implement hashes/maps/dictionaries (Python lingua) as S4 classes, see the coding below. I came across some rough S4 edges, but in the end it worked (for one dictionary). When testing ones sees that the dictionaries D1 and D2 share their environments D1 at hash and D2 at hash, though I thought a new and empty environment would be generated each time