On Mar 10, 2011, at 08:44 , Henrik Bengtsson wrote:
> Hi,
>
> I've just created:
>
> newEnvEval <- function(..., hash=FALSE, parent=parent.frame(), size=29L) {
> envir <- new.env(hash=hash, parent=parent, size=size);
> evalq(..., envir=envir);
> envir;
> } # newEnvEval()
>
> so that I can c
Hi,
I've just created:
newEnvEval <- function(..., hash=FALSE, parent=parent.frame(), size=29L) {
envir <- new.env(hash=hash, parent=parent, size=size);
evalq(..., envir=envir);
envir;
} # newEnvEval()
so that I can create an environment and assign objects to it in one go, e.g.
env <- new
On Wed, 2011-03-09 at 17:15 -0900, Zepu Zhang wrote:
> Hello list,
>
> I have the following scenario:
>
> f1 <- function(a)
> {
> # doing things; may need 'a', but does not change 'a'.
>
> g <- function(x)
> {
> sum(x + a)# Say. Use 'a'; does not change 'a'.
Th
Hello list,
I have the following scenario:
f1 <- function(a)
{
# doing things; may need 'a', but does not change 'a'.
g <- function(x)
{
sum(x + a)# Say. Use 'a'; does not change 'a'.
}
optimize(f = g, lower = 0, upper = 1)
}
f2 <- function()
{
Hi,
If I have a cluster of heterogenous machines, each with their own
self-optimized ATLAS, do I need to compile R on each machine to tell it to
take advantage of the local ATLAS? Or is it sufficient to compile R once
with the appropriate --with-blas and --with-lapack flags, and then trus
match() is a red herring here -- it is really a very specific thing that has to
do with the fact that you're running unique() on a matrix. Also it's much
easier to reproduce:
> x=c(1,1+0.2e-15)
> x
[1] 1 1
> sprintf("%a",x)
[1] "0x1p+0" "0x1.1p+0"
> unique(x)
[1] 1 1
>
On Wed, Mar 09, 2011 at 08:48:10AM -0600, Terry Therneau wrote:
> I stumbled onto this working on an update to coxph. The last 6 lines
> below are the question, the rest create a test data set.
>
> tmt585% R
> R version 2.12.2 (2011-02-25)
> Copyright (C) 2011 The R Foundation for Statistical Com
I stumbled onto this working on an update to coxph. The last 6 lines
below are the question, the rest create a test data set.
tmt585% R
R version 2.12.2 (2011-02-25)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-unknown-linux-gnu (64-bit)
# Lin
I never said I wasn't going to fix the bug, and believe me big banks do want
their apps to be of high quality, but until the bugs are fixed I want my app to
die instead of becoming a zombie. But thanks for your opinion and all others
that offered help along the way.
Wayne
-Original Messa
On Tue, Mar 8, 2011 at 10:41 PM, wrote:
> That did the trick. Thank you soo much Simon!
But really you *should* fix the segfault. Either you know why it
happens, in which case you should spot it before it happens and do
something sensible, or you don't know why it happens, in which case it
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