not use multiprocessing libraries? Does R even know whether a linked library
is doing multi-processing? Does R build its own BLAS and LAPACK if its also
linking external ones?
Thanks,
Rob
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her
S3 methods which do include an ellipsis.
---------
Rob J Hyndman
Professor of Statistics, Monash University
www.robjhyndman.com
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Thank you Georg!
It definitely resolves the problem!
Adding the correct time zone (tz='GMT') returns a valid number as my
data are in solar time.
rob
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related to the couple
"2016-03-27" as date and "2" as hour. It seems not to be related to the
datetime format.
There is a similar bug on bugzilla [2] but in my case I cannot replicate it.
My OS is Win 7 and R v3.3.2.
Thank you
rob
[1] https://stat.ethz.ch/pipermail/r-hel
Thanks for the reply.
Rob
On Sat, Oct 13, 2012 at 1:57 AM, Prof Brian Ripley wrote:
> On 13/10/2012 08:09, Rob Anderson wrote:
>
>> Hi,
>>
>> I was wondering if it is safe to call R functions and/or R BLAS functions
>> from within multithreaded C/C++ code(.Call
Hi,
I was wondering if it is safe to call R functions and/or R BLAS functions
from within multithreaded C/C++ code(.Call interface)? It is not in case
with MATLAB. I was experimenting using pthreads and OpenMP.
Thanks,
Rob
[[alternative HTML version deleted
Thanks! that was useful
Rob
On Mon, Nov 7, 2011 at 6:49 AM, Duncan Murdoch wrote:
> On 11-11-07 5:24 AM, Rob Anderson wrote:
>
>> Hello Guys,
>>
>> Following up my earlier mail where I am trying to write an alternative
>> front-end for R, I had a question ab
to get an
input SEXP from a C character buffer(your R code). Calling R_ParseVector()
with this SEXP as input will give you the parsed output. It works for me.
Thanks,
Rob
On Tue, Nov 8, 2011 at 6:53 PM, KR wrote:
> Simon Urbanek r-project.org> writes:
> > Except that you do
is
meant just for the internal "eval*" function and not exposed application
writers?
Thanks,
Rob
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It is intermittent on both my systems.
Rob
On Sep 8, 2011, at 8:00 AM, luke-tier...@uiowa.edu wrote:
> On Thu, 8 Sep 2011, Martin Maechler wrote:
>
>>>>>>> Simon Urbanek
>>>>>>>on Thu, 8 Sep 2011 09:33:23 -0400 writes:
>>
&g
re release.
Regards,
Rob Hyndman
# Replacement for decompose function in the stats package
# Only changes are (1) the seasonal component is complete instead of truncated
# and (2) the original data is included in the returned object.
decompose <- function (x, type = c("additive", "mul
Thanks a lot guys. I'll try out what you suggested.
Thanks,
RJ
On Thu, Mar 24, 2011 at 8:46 AM, Dirk Eddelbuettel wrote:
>
> On 24 March 2011 at 08:08, Duncan Murdoch wrote:
> | On 11-03-23 7:35 PM, Rob Anderson wrote:
> | > Hi All,
> | >
> | > I am trying to w
Hi All,
I am trying to write a source-to-source compiler for R. I am trying to
leverage the R parser code for the purpose. I am trying to transform the
SEXP returned from the parser into an AST for our own Ruby embedded Domain
specific language.
I tried using R CMD SHBIN to compile a C function t
phics window.
This issue and sometimes very long sequences of plots (never have been
able to make that reproducible, sometimes the crash happens up to a
minute after R finishes a series of plots and I'm working in an
external editor like TextMate) are hard to pin down.
Regards,
Rob
For some reason, the help file on quantile() says "Missing values are
ignored" in the description of the x argument. Yet this is only true
if na.rm=TRUE. I suggest the help file is amended to remove the words
"Missing values are ignored".
Rob
_____
Rob
I don't think it causes a problem for existing
code.
Best wishes,
Rob
On 27/04/2008, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
> On Sat, 26 Apr 2008, Rob Hyndman wrote:
>
>
> > Can we please have a ... argument in median() to make it possible to pass
> > argu
Can we please have a ... argument in median() to make it possible to pass
arguments to specific methods.
_
Rob J Hyndman
Professor of Statistics, Monash University
Editor-in-Chief, International Journal of Forecasting
http://www.robhyndman.info/
[[alternative
e it the best route right now is to try to
bring this project the attention of the GSoC mentors.
Regards,
Rob
On Apr 17, 2008, at 3:33 AM, Mike Hansen wrote:
> I would like to re-emphasize the above points that William makes.
> Both projects could benefit a lot from working with each oth
problem still occurs? I have tried many times on my system
and can't reproduce the problem.
Thanks,
Rob
On Aug 31, 2006, at 7:42 AM, [EMAIL PROTECTED] wrote:
> Full_Name: Matt Fantle
> Version: 1.16
> OS: Mac OS 10.4.7
> Submission from: (NULL) (128.118.174.213)
>
>
>
quot;")
download.file(reg.data, filePath, quiet=TRUE)
A <- read.table(filePath, skip=60, strip.white=TRUE)
lm.data <- lm(formula(model), A)
lm.data
Rob Carnell
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Full_Name: Rob Foxall
Version: 2.2.0
OS: Windows XP
Submission from: (NULL) (149.155.96.5)
I was using multinom from nnet package, when I did something stupid -- I entered
in an incorrect factor variable as response. This factor had only one level.
Instead of R telling me not to be so dumb, it
Full_Name: Rob James
Version: 2.2.0
OS: Fedora Core 4 64 Bit
Submission from: (NULL) (24.79.225.106)
Attempting to run the configure script yields the following inscrutable error:
configure: error: --with-readline=yes (default) and headers/libs are not
available
This occurs at the following
Full_Name: Rob Hyndman
Version: 2.1.1
OS: Windows
Submission from: (NULL) (202.7.176.132)
pf(Inf,x,Inf) causes R to hang up for any value of x.
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n and
vanilla 1.0.57
compiles fine on Mac OS. My guess is, if possible, we want a single
approach
across the different platforms.
Rob
On Jul 17, 2005, at 8:29 AM, Ayal Pinkus wrote:
>> Using this instead of Tcl_Eval() gives some efficiency gain, but more
>> importantly, it avoids
e(%)' | yacas_client")
In> Type(%)
Out> "-"
In>
This last example does show the yacas server stays alive between
calls from R. yacas_client is a script.
Maybe that approach also works for maxima?
I wonder how difficult it would be to translate expressions back and
forth f
I'm interfacing to C code that uses 1-based indexing on arrays -- it
ignores the zeroth element. Thus, input vectors from R must be moved up
one, and output arrays must be moved down one.
What is the best way to deal with this using R internal code?
My current approach is:
For an input R vector
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