similar to: Problem using option packeg with new R version (PR#13498)

Happy 2013! Can someone with more knowledge of edge case scoping/eval rules explain what is happening below? Happens in all the versions of R I have on hand. Behavior itself is confusing, but ?as.environment also provides no clue. The term used in that doc is 'search list', which is ambiguous, but the see also section mentions search(), so I would *think* that is what is intended.

On 8/7/2017 1:02 PM, Daniel Berlin wrote: > Can someone fill me in on the issue with the dominator tree, > precisely, during inlining? > We now have the capability of quickly keeping it up to date without > too much trouble (it may require pushing it through a bunch of places, > but the actual changes to do should be easy). If I'm not mistaken (which I very well could be

On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com> wrote: On Thu, Dec 15, 2016 at 11:38 AM, David Blaikie <dblaikie at gmail.com> wrote: On Thu, Dec 15, 2016 at 11:26 AM Teresa Johnson <tejohnson at google.com> wrote: Trying to wrap my brain around this, so a few questions below. =) Sure thing - sorry, did assume a bit too much arcane context here.

Hi all, I am trying to create a function that will open connections to all files of one type within the working directory. I've got the function to open the connections, but I am having a bugger of a time trying to get these connections named as objects in the workspace. I am at the point where I can do it outside of the function, but not inside, using assign. I'm sure I'm

Hi, when designing libraries for R, is it possible to call C/Fortran subroutines from other dynamically loaded code? The following example crashes R: ********* fn1.c ***************** void twice(int *i) { *i = 2 * *i; } ********************************* ********* fn2.c ***************** extern int twice(int *i); void negtwice(int *i) { *i = -1 * twice(i); }

Hi, when designing libraries for R, is it possible to call C/Fortran subroutines from other dynamically loaded code? The following example crashes R: ********* fn1.c ***************** void twice(int *i) { *i = 2 * *i; } ********************************* ********* fn2.c ***************** extern int twice(int *i); void negtwice(int *i) { *i = -1 * twice(i); }

On Thu, Dec 15, 2016 at 2:08 PM, David Blaikie <dblaikie at gmail.com> wrote: > On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com> > wrote: > > On Thu, Dec 15, 2016 at 11:38 AM, David Blaikie <dblaikie at gmail.com> > wrote: > > > > On Thu, Dec 15, 2016 at 11:26 AM Teresa Johnson <tejohnson at google.com> > wrote: >

Full_Name: James Signorovitch Version: 2.2.1 OS: WinXP Submission from: (NULL) (134.174.182.203) In the code below, fn1() and fn2() fail with the messages given in the comments. Strangely, fn2() fails for all data sets I've tried except for those with 100 rows. The same errors occur if glm() is used in place of lm(), or if R 2.1.1 is used on a unix system. Thanks for looking into this.

On Thu, Dec 15, 2016 at 4:17 PM Teresa Johnson <tejohnson at google.com> wrote: > On Thu, Dec 15, 2016 at 2:08 PM, David Blaikie <dblaikie at gmail.com> wrote: > > On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com> > wrote: > > On Thu, Dec 15, 2016 at 11:38 AM, David Blaikie <dblaikie at gmail.com> > wrote: > > > > On

On Thu, Dec 15, 2016 at 4:20 PM, David Blaikie <dblaikie at gmail.com> wrote: > > > On Thu, Dec 15, 2016 at 4:17 PM Teresa Johnson <tejohnson at google.com> > wrote: > >> On Thu, Dec 15, 2016 at 2:08 PM, David Blaikie <dblaikie at gmail.com> >> wrote: >> >> On Thu, Dec 15, 2016 at 1:30 PM Teresa Johnson <tejohnson at google.com>

> > Hello everyone, > > I have the following R code for a multivariable function: > > > > fn2<-function(x,y,z){(y+2*z)/(5*y-x*z)} > > > > fn2(-5,-2,3) > [1] 0.8 > > > > No problems. > > === > > If, however, I call the function using a vector substitution for the > arguments, R sees this as 3 separate calls to the function while

Hi - I'm having a really hard time w/understanding R's get function, and would appreciate any help with this. Specifically, I'm using a for loop to call a function. I'd like the function to have access to the variable being incremented in the for-loop, i.e. t.fn <- function() return( get( "i" ) ) t.fn2 <- function() { for ( i in 1:5 ) cat( t.fn(),

Dear Development Group, In trying to answer the subject question myself, I found this thread initiated by Tony from five years ago: http://tolstoy.newcastle.edu.au/R/help/05/12/18169.html. I recently stumbled upon the following S4 answer to Tony's question: setClass("fooWfcn", representation(dat1="vector", dat2="vector",

Dear list, A while ago, I posted a question asking how to use data or subset arguments in a user-defined function. Duncan Murdoch suggested the following solution in the context of a data argument: data <- data.frame(a=c(1:10),b=c(1:10)) eg.fn <- function(expr, data) { x <- eval(substitute(expr), envir=data) return(mean(x)) } eg.fn(a,data) I've

All, I'm working on an improvement to the inline cost model, but I'm unsure how to proceed. Let me begin by first describing the problem I'm trying to solve. Consider the following pseudo C code: *typedef struct element { unsigned idx; } element_t; * *static inline unsigned char fn2 (element_t *dst_ptr, const element_t *a_ptr, const element_t *b_ptr,

Hi, > Suppose I have the following source: > > file1: > #include "file2" > #include "file3" > int fn1(void) ... > > file2: > int a; > > file3: > int fn2(void) ... > > then fn1, along with all the base types etc appear to be in compile unit > "file1", the variable a appears to be in compile unit

For those who suggest other ways to do this, I ALREADY HAVE ANOTHER DESIGN SOLUTION, DESCRIBED AT THE END. That being said, I want to know if it's possible to reference a slot in an S4 class from another slot, i.e. I'd like to have the "self.*" semantics of Python so that I can reuse a slot. That is, for various reasons it would be nice to be able to do something like:

Dear all, I would really appreciate if somebody can help me to understand what does the phrase "Vectorize your function" mean? And what is the job of Vectorize() function in doing that? I have read many threads where experts suggest to Vectorize the function, which will speed up entire calculation (and more elegant ofcourse.) I used to think that vectorizing function means, to create a

On 8/4/2017 2:06 PM, Daniel Berlin wrote: > A few notes: > I'm a bit surprised IPO copy/constant propagation doesn't get this > case, but i didn't look if the lattice supports variables. > In particular, in your example, given no other call sites, it should > eliminate the dead code. > (In a real program, it may require cloning). In the actual program

Dear List, I've been looking tirelessly for a solution to this dilemma but without success. Perhaps someone has an idea that will guide me in the right direction. Suppose I have the following data.frame: DF = data.frame(X = c(114.5508, 114.6468, 114.6596, 114.6957, 114.6828, 114.8903, 114.9519, 114.8842, 114.8579, 114.8489), Y = c(47.14094, 46.98874, 46.91235, 46.88265, 46.80584, 46.67022,