I am writing a package, which contains several functions and variables.
The variables are for internal use by functions.
Functions are ment to be callable by a user.
However, the function cannot access these variables.
The package contains only R code, and was created using package.skeleton
pa
This is my first package, and clearly, I'm missing something.
After reading again manuals about name spaces and hooks, I have defined the
function .onLoad,
which implicitly assigns all internal variables with <<-
Then I have deleted previous package directory and changed the call to
package.skele
Can somebody help me?
I need the C/C++ code for the R's qbeta function.
Can you send it to me a [EMAIL PROTECTED] ?
PS: I'm italian, i can't speak english very well...
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R-devel@r-project.org mailing list
h
On Friday 25 May 2007 05:02, Gatsu wrote:
> Can somebody help me?
>
> I need the C/C++ code for the R's qbeta function.
R is open-source, so you can simply download the source and look at whatever
parts you like.
Sean
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R-devel@r-project.org mailing
I am sorry, my previous questions about hiding variables from users in a
package were obscure and vague, and would like to clarify them.
This should be a basic question.
I am writing my first package.
It has several functions, which should be callable by users.
These functions use several variabl
Thank you for the answer.
Here is everything.
ac9wl<-c(412,440,488,510,532,555,650,676,715)
ac9nw<-length(ac9wl)
AB2C <-function(a,b,model.type="S") {
nza<-dim(a)[1]
nwa<-dim(a)[2]
nzb<-dim(b)[1]
nwb<-dim(b)[2]
if(nza!=nzb || nwa!=ac9nw || nwb!=ac9nw) {
warning('AB2C: Dimension
On 5/25/2007 7:27 AM, Vladimir Eremeev wrote:
> Thank you for the answer.
>
> Here is everything.
>
> ac9wl<-c(412,440,488,510,532,555,650,676,715)
> ac9nw<-length(ac9wl)
>
> AB2C <-function(a,b,model.type="S") {
> nza<-dim(a)[1]
> nwa<-dim(a)[2]
> nzb<-dim(b)[1]
> nwb<-dim(b)[2]
>
>
I do use this function.
Here is the example session, run from the newly created directory, without
.Rdata and .Rhistory files.
=== begin
R version 2.5.0 Patched (2007-05-13 r41549)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
R is free software and comes with
By removing the data directory (which package.skeleton has created, and where
it has put all my variables in files with .rda extension) and adding one
more file to the R directory, containing the variable assignments.
Vladimir Eremeev wrote:
>
> I do use this function.
> Here is the example ses
R has debugging features: see 'Writing R Extensions'. Please make use of
them, e.g. options(error=recover) will enable you to explore the
environments that are visible.
We can only guess at this, not having function AB2C.
On Fri, 25 May 2007, Vladimir Eremeev wrote:
>
> I am sorry, my previou
Some days ago, there was a discussion about the command
formatC(exp(1),digits=100,width=-1)
Converting a double value to a string, from which the double may be
reconstructed exactly, may be useful. So, I did some experimentation
with it in my linux installation of R-2.5.0.
I generated a vector
Hello all,
I want to highlight a recent change in R-devel to the larger developeR
community. As of r41495, R maintains a global cache of CHARSXPs such
that each unique string is stored only once in memory. For many
common use cases, such as dimnames of matrices and keys in
environments, the resu
On Fri, 25 May 2007, Sean Davis wrote:
> On Friday 25 May 2007 05:02, Gatsu wrote:
>> Can somebody help me?
>>
>> I need the C/C++ code for the R's qbeta function.
>
> R is open-source, so you can simply download the source and look at whatever
> parts you like.
>
Finding the qbeta function may t
Thanks in advance to anyone that might be able to help me with this
problem. I have not been able to find a reference to it in the
documentation on online sources, so I am turning to this group.
I am running R 2.4.1 under Red Hat Enterprise Linux 4, on an x86_64
platform (multi-core Intel Xeon pr
On Friday 25 May 2007 7:12 pm, Michael Braun wrote:
> Thanks in advance to anyone that might be able to help me with this
>
> Also, it is not just the compiled call that slows down. EVERYTHING
> slows down, even those that consist only of standard R functions. The
> time for each of these functio
Vladimir:
Thanks for your response. I have done as you requested (with a smaller
dataset--the patterns are still there). Here is the gc()-laden output.
I don;t fully understand the meaning of all parts of these reports. But
it does look like the number of objects grows (and it grows faster on
On 25 May 2007 at 19:12, Michael Braun wrote:
| So I'm stuck. Can anyone help?
It sounds like a memory issue. Your memory may just get fragmented. One tool
that may help you find leaks is valgrind -- see the 'R Extensions' manual. I
can also recommend the visualisers like kcachegrind (part of KD
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