similar to: An inconsistency with promise in attributes

Hi all, It's possible to capture the expression associated with a promise (using substitute). Is there any way to capture the environment associated with a promise? Similarly, is there any way to tell if something is a promise without accidentally evaluating it? Thanks! Hadley -- RStudio / Rice University http://had.co.nz/

Is there some way of displaying the expression and evaluation environment associated with a promise? I have found the following: > # first run these two commands to set up example > e <- new.env() > delayedAssign("y", x*x, assign.env = e) > # method 1. shows expression but not evaluation environment > str(as.list(e)) List of 1 $ y: promise to language x * x >

Hi, The problem arises when I lazyLoad() the .Random.seed from a previously saved database. To simplify the process of reproducing the problem, see the example below: ## this assignment may not really make sense, but illustrates the problem delayedAssign('.Random.seed', 1L) typeof(.Random.seed) # [1] "integer" rnorm(1) # Error in rnorm(1) : # .Random.seed is not an integer

Hi, The problem arises when I lazyLoad() the .Random.seed from a previously saved database. To simplify the process of reproducing the problem, see the example below: ## this assignment may not really make sense, but illustrates the problem delayedAssign('.Random.seed', 1L) typeof(.Random.seed) # [1] "integer" rnorm(1) # Error in rnorm(1) : # .Random.seed is not an integer

I've noticed quite a few messages relating to large data sets bedeviling R users, and having just had to program my way through one that actually caused a "Bus error" when I tried to read it in, I'd like to ask two questions. 1) Are there any facilities for aggregation of data in R? ( I admit that this will not do much for the large data set problem immediately) 2) Is there any

Dear List, While trying to define a customised CITATION file for a package, following R-exts, I realised that if I use only one 'citEntry' I got both a text description and a BibTex entry for the package, as for the 'nlme' package: -------------------------- citation('nlme') To cite package 'nlme' in publications use: Jose Pinheiro, Douglas Bates, Saikat

Function in the base library of R 1.8.0 seems to use a search path with base coming before the local environment. I think this is intentional and is related to base being a namespace. > log <- function(x, base) 200 > log(1) [1] 200 > log10 function (x) log(x, 10) <environment: namespace:base> > log10(1) [1] 0 > This is most problematic when you are creating a

Greetings, The following is based on a question I raised on Stackoverflow: https://stackoverflow.com/questions/46280120/calling-printls-str-in-function-affect-behavior-of-rep/46283979#46283979 Start a new R session with an empty Global Env. Then define: f <- function(n) { print(ls.str()) rep("hello", times = n) } Now run: f(x) Instead of getting the expected "object

If .../<pkg>/man/ contains a filename beginning with [, such as [.datetimes, Rdconvlib.pl cannot convert that help file into latex at INSTALL time. [Using --no-latex is a workaround.] The error given is: # R INSTALL ssCatalogues : help >>> Building/Updating help pages for package `ssCatalogues' Formats: text html latex example /^[.datetimes$/: unmatched [] in regexp at

Hello R-help, I've noticed that my 'parallel' jobs take too much memory to store and transfer to the cluster workers. I've managed to trace it to the following: # `payload` is being written to the cluster worker. # The function FUN had been created as a closure inside my package: payload$data$args$FUN # function (l, ...) # withCallingHandlers(fun(l$x, ...), error =

The following code snippet causes R to hang. This example might be a bit contrived as I was experimenting and trying to understand promises, but uses only base R. It looks like it is looking for "not_a_variable" recursively but since it doesn't exist it goes on indefinitely. x0 <- new.env() x1 <- new.env(parent = x0) parent.env(x0) <- x1 delayedAssign("v",

On Sat, May 11, 2024 at 9:34?AM luke-tierney--- via R-devel <r-devel at r-project.org> wrote: > > On Sat, 11 May 2024, Travers Ching wrote: > > > The following code snippet causes R to hang. This example might be a > > bit contrived as I was experimenting and trying to understand > > promises, but uses only base R. > > This has nothing to do with promises.

After a bunch of discussion in the core group, we have decided to deprecate the delay() function (which was introduced as "experimental" in R 0.50). This is the function that duplicates in R code the delayed evaluation mechanism (the promise) that's used in evaluating function arguments. The problem with delay() was that it was handled inconsistently (e.g. sometimes you would see

Forgive me if this isn't relevant, but: are you stripping off the output you need (e.g., parameter estimates) and throwing away what you don't (e.g., residuals)? Reid Huntsinger -----Original Message----- From: Saikat DebRoy [mailto:saikat at stat.wisc.edu] Sent: Wednesday, March 21, 2001 12:15 PM To: Han Lai Cc: R-help Subject: Re: [R] Is there any help for "Cannot allocate vector

Hello- I understand that it's convention, when comparing two models using the anova function anova(model1, model2), to put the more "complicated" (for want of a better word) model as the second model. However, I'm using lme in the nlme package and I've found that the order of the models actually gives opposite results. I'm not sure if this is supposed to be the case

Hello, I am interested in using nlme to model repeated measurements, but I don't seem to get good CIs. With the code below I tried to generate data sets according to the model given by equations (1.4) and (1.5) on pages 7 and 8 of Pinheiro and Bates 2000 (having chosen values for beta, sigma.b and sigma similar to those estimated in the text). For each data set I used lme() to fit a model,

Did not seem to reach Saikat DebRoy, this might be the forum. Bendix -----Original Message----- From: BXC (Bendix Carstensen) Sent: 24. november 2008 15:00 To: 'saikat at stat.wisc.edu'; 'stvjc at channing.harvard.edu' Subject: read.ssd It's always annoyed me that that read.ssd crashed on datasets with long variable names, but the other day a collegue of mine pointed out to

I have some questions about S4 style methods and generics. First of all, is there any way of using default values for arguments in the generics/methods? My own experiments show that such arguments are always ignored. The green book seems to be silent on this matter. The second question is about using a non-trivial function body for generics. Page 351 of the green book gives an example of this

Dear List, RMySQL is old and wouldn't install on R 2.0.1. How should the source be rewritten to be accepted by R 2.0.1. With thanks Fredrik Lundgren

Would introducing the new frame, with the call to local(), cause problems when you use frame counting instead of <<- to modify variables outside the scope of lapply's FUN, I think the frame counts may have to change. E.g., here is code from actuar::simul() that might be affected: x <- unlist(lapply(nodes[[i]], seq)) lapply(nodes[(i + 1):(nlevels - 1)],