similar to: questions about nls

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,

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.

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.

I have a question about the llvm debugging records, especially wrt compile units. In the non-LLVM sense, a compile unit is essentially everything contained within a single .o file, and it is derived from one or more source and header files. Included in a compile unit are functions and global data. Dwarf records refer to compile units in the same way: a compile unit record has children which

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.

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: >

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

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

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>

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. > > >> >> On Thu, Dec

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,

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 Colleagues, Our group is also working on implementing the use of R for pharmacokinetic compartmental analysis. Perhaps I have missed something, but > fit <- nls(noisy ~ lsoda(xstart, time, one.compartment.model, c(K1=0.5, k2=0.5)), + data=C1.lsoda, + start=list(K1=0.3, k2=0.7), + trace=T + ) Error in eval(as.name(varName), data) : Object

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

Hi, Coincidentally I've been working to optimize this same case last week. I was struggling a bit to determine where to put this functionality and eventually went for the pragmatic approach of creating an experimental pass. Probably not the eventual solution, but it may provide some useful input to the discussion here. Basically, I experimented with a 'pre-inlining-transform' pass

I'm using R 2.8.1 on Ubuntu 8.10. I'm writing partly to ask what's wrong, partly to tell other users who search that there is a work around. The General Social Survey is a long standing series of surveys provided by NORC (National Opinion Research Center). I have downloaded some years of the survey data in SPSS format (here's the site:

On Aug 22, 2008, at 4:40 PM, Devang Patel wrote: > The LLVM passes are responsible to take appropriate actions based on > Function > Notes associated with function definition. For example, > > define void @fn1() notes("opt-size=1") { ... } > > The function fn1() is being optimized for size without losing > significant > performance. The inliner will

SPSS seems to have changed its default datafile format, resulting in issues for read.spss(). In Windows this results in a warning, in Debian the import completely fails: Debian (R version 2.8.0 (2008-10-20) i486-pc-linux-gnu, foreign_0.8-29) > read.spss("/home/jeroen/samples/Tomato.sav") Error in iconv(names(rval), cp, "") : unsupported conversion from 'CP65001'

Hi, I'm trying to backup a remote directory. Although the remote directory hasn't been changed after rsync's run, I realize that the supposed synchronization missed some files. Does it have to do with rsync or I miss something ? Thanks very much, Mihai. ______________________________ quad ...lu2/BACKUP/k2/mnt/i1/vbs# rsync -av --stats rsync://mlozo@k2/vobuser/user