search for: envireent

Some formula methods for S3 generic functions use the idiom returnValue$call <- sys.call(sys.parent()) to show how to recreate the returned object or to use as a label on a plot. It is often followed by returnValue$call[[1]] <- quote(myName) E.g., I see it in packages "latticeExtra" and "leaps", and I suspect it used in "lattice" as well. This idiom

Here is a case where the current scheme fails: > with(datasets::mtcars, xyplot(mpg~wt|gear)$call) xyplot(substitute(expr), data, enclos = parent.frame()) Bill Dunlap TIBCO Software wdunlap tibco.com On Thu, May 11, 2017 at 1:09 AM, Deepayan Sarkar <deepayan.sarkar at gmail.com> wrote: > On Wed, May 10, 2017 at 2:36 AM, William Dunlap via R-devel > <r-devel at

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, very sporadic and non-reproducible, I get the following type of errors: Error in get(name, envir = envir) : formal argument "envir" matched by multiple actual arguments Error in exists(cacheName, envir = envir, inherit = FALSE) : formal argument "envir" matched by multiple actual arguments Error in paste(..., sep = sep) : formal argument "sep" matched by

Hi all, I'm trying to install the mixdist package with: install.packages("mixdist") But I'm getting the following errors: * installing *source* package ‘mixdist’ ... ** R ** data ** preparing package for lazy loading ** help *** installing help indices ** building package indices ... Warning in utils::data(list = f, package = package, lib.loc = lib.loc, envir = dataEnv) :

Hi R-listers, I am trying to make a trellis boxplot with the HSuccess (y-axis) in each Rayos (beach sections) (x-axis), for each Aeventexhumed (A, B, C) - nesting event. I am not able to do so and keep receiving: Error in eval(expr, envir, enclos) : object 'Rayos' not found Please advise, Jean require(plyr) resp <- read.csv("ABC Arribada R File Dec 12 Jean

Hello. I have run the command imp<-mice(mydata, im=c("","pmm","logreg","logreg"),m=5)  for a variable with no missing data, a numeric one and two variables with binary data. I got the following message: There were 37 warnings (use warnings() to see them) > warnings() Warning messages: 1: In any(predictorMatrix[j, ]) ... : coercing argument of

I got the following warnings when I install R.oo. Are these warnings normal? Should I reinstall the package as mentioned in the warnings? How to reinstall? The sessionInfo() is at the end. > install.packages("R.oo", dependencies=T) Warning in install.packages("R.oo", dependencies = T) : argument 'lib' is missing: using '/utility/R' also installing the

On Wed, May 10, 2017 at 2:36 AM, William Dunlap via R-devel <r-devel at r-project.org> wrote: > Some formula methods for S3 generic functions use the idiom > returnValue$call <- sys.call(sys.parent()) > to show how to recreate the returned object or to use as a label on a > plot. It is often followed by > returnValue$call[[1]] <- quote(myName) > E.g., I see

On Jul 15, 2015, at 12:51 PM, William Dunlap wrote: > I think rapply() was changed to act like lapply() in this respect. > When I looked at the source of the difference, it was that typeof() returned 'language' in 3.2.1, while it returned 'list' in the earlier version of R. The first check in rapply's code in both version was: if (typeof(object) != "list")

Hi [R-2.10.0; suse linux] I am having difficulty creating S4 objects in the data directory of a package. I want to create a bunch of simple S4 objects for use in the examples section of the Rd files. It says in R-exts that: " R code should be ?self-sufficient? and not make use of extra functionality provided by the package, so that the data file can also be used without having to load

Dear group I use "restart" in part of my code, in a way that's not easily changed to "try". As I convert code from R1.5.0 to R1.6.1, I'm getting ugly messages; the help system says to contact r-devel, so here I am. This one's a bit complicated-- sorry! The context is inside a debugger (I have an R and S debugger that offers stand-alone code windows, line numbered

I've been looking at the help page for eval for a while, but I can't make sense of why this example does not work. show.a <- function() { a } init.env <- function() { a <- 200 environment() } my.env <- init.env() ls(envir=my.env) # returns this: # > ls(envir=my.env) # [1] "a" # but this does not work: eval(expression(show.a()),envir=my.env) # >

David, If you are referring to the solution that would be: rapply(list(test), eval, envir = fenv) I thought I explained in the question that the above code does not work. It does not throw an error, but the behavior is no different (at least in the output or result). Using the above code still results in the x object not being stored in fenv on 3.1.2. Dayne On Wed, Jul 15, 2015 at 4:40 PM,

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) | |

Could someone explain to me what namespaces are loaded/saved when objects are saved? Specifically, I'm using this: save(list = ls(all.names = TRUE, envir = envir), file = name, envir = envir) to save out everything from an environment. Later, loading it on another machine, I'm surprised to see the load failing for being unable to load certain packages. Could anyone help me understand

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)?

In 3.1.2 eval does not store the result of the bquote-generated call in the given environment. Interestingly, in 3.2.1 eval does store the result of the bquote-generated call in the given environment. In other words if I run the given example with eval rather than evalq, on 3.1.2 "x" is never stored in "fenv," but it is when I run the same code on 3.2.1. However, the given

After using options(error=recover), it takes a long time (too long) to get back to the prompt. Look at: Browse[1]> recover() Enter a frame number, or 0 to exit 1: window(test, start = c(15, 1), end = c(17, 1), extend = TRUE) 2: window.ts(test, start = c(15, 1), end = c(17, 1), extend = TRUE) 3: as.ts(window.default(x, ...)) 4: window.default(x, ...) 5: function () 6: eval(quote(browser()),