Full_Name: Peiyi Xi
Version: R 2.2.0
OS: Windows XP Professional
Submission from: (NULL) (128.2.3.141)
When I use rgamma(n, shape, rate ) to generate gamma samples, it
gives zeros when both shape and rate are very small.
But we know that if x follows a gamma distribution, x should be positive.
It says clearly that showArgs is for use by .External, not .Call (it is
introduced in a paragraph about the differences):
@example
showArgs - function(...) .External(showArgs, ...)
@end example
and that is the main user error here. Pairlists are not needed when used
as documented.
On Wed, 30
Duncan Murdoch [EMAIL PROTECTED] writes:
I think we need an option to R CMD check rather than a new field in the
DESCRIPTION. Currently a package could be mentioned for any of these
reasons:
1. To make functions, examples or vignettes work
2. To allow optional functionality in functions,
FrL == friedrich leisch [EMAIL PROTECTED]
on Wed, 30 Aug 2006 09:34:13 +0200 (MEST) writes:
Duncan Murdoch [EMAIL PROTECTED] writes:
I think we need an option to R CMD check rather than a new field in the
DESCRIPTION. Currently a package could be mentioned for any of these
On Wed, 30 Aug 2006, Martin Becker wrote:
Prof Brian Ripley wrote:
No one else seems to have responded to this.
Please see `Writing R Extensions' for how to time things in R.
Thank you very much for the pointer to system.time(), although I read most of
'Writing R Extensions', I must
On 8/30/2006 3:21 AM, [EMAIL PROTECTED] wrote:
On 8/29/2006 4:13 PM, Paul Gilbert wrote:
Duncan Murdoch wrote:
[...]
This doesn't address the problem of someone who hasn't got the package
installed yet, though perhaps CRAN could put a version of that man page
(or all of them) online for
On 8/30/2006 6:33 AM, Prof Brian Ripley wrote:
On Wed, 30 Aug 2006, Martin Becker wrote:
Prof Brian Ripley wrote:
No one else seems to have responded to this.
Please see `Writing R Extensions' for how to time things in R.
Thank you very much for the pointer to system.time(), although I
Full_Name: Mark James Kelly
Version: 2.3.1
OS: Windows
Submission from: (NULL) (193.63.127.224)
Sequence produces slightly inaccurate results.
#This (supposedely) creates a sequence 0.060,0.065,0.070.0.30
thingnor=(seq(0.06,0.30,by=0.005))
#This does the same but rounds to three decimals
Duncan Murdoch schrieb:
McLeish published algorithms to simulate these directly in a recent
issue of CJS. I don't have the reference handy, but I think it's 2004
or 2005.
Duncan Murdoch
Thank you for this reference, I think it is the 2002 article *Highs and
lows: Some properties of the
On 8/30/2006 3:21 AM, [EMAIL PROTECTED] wrote:
On 8/29/2006 4:13 PM, Paul Gilbert wrote:
Duncan Murdoch wrote:
[...]
This doesn't address the problem of someone who hasn't got the package
installed yet, though perhaps CRAN could put a version of that man page
(or all of them) online for
On 8/30/2006 7:44 AM, Martin Becker wrote:
Duncan Murdoch schrieb:
McLeish published algorithms to simulate these directly in a recent
issue of CJS. I don't have the reference handy, but I think it's 2004
or 2005.
Duncan Murdoch
Thank you for this reference, I think it is the 2002
FrL == friedrich leisch [EMAIL PROTECTED]
on Wed, 30 Aug 2006 09:34:13 +0200 (MEST) writes:
Duncan Murdoch [EMAIL PROTECTED] writes:
I think we need an option to R CMD check rather than a new field
in the
DESCRIPTION. Currently a package could be mentioned for any of
On 30 August 2006 at 14:04, [EMAIL PROTECTED] wrote:
| Debian has Depends/Recommends/Suggests and after 10 years of using Debian
| I would still have to got to the Debian guidelines to learn what the exact
| difference between the latter two is. There certainly is a distinction,
It's all defined
A revision of r-devel 2.4.0 is being committed today with changes to
method and class management.
The changes are internal but extensive. All packages that use S4
methods and classes need to be reinstalled from source to use the new
version.
The main effects are to speed up method caching
Kurt Hornik [EMAIL PROTECTED] writes:
An internal environment variable called
_R_CHECK_FORCE_SUGGESTS_
which controls this has been in place for quite some time now. One can
trivially add a Perl R CMD check configure variable for it. I am a bit
hesitant to add a --force-suggests cola to
On 8/30/2006 4:44 AM, Martin Maechler wrote:
FrL == friedrich leisch [EMAIL PROTECTED]
on Wed, 30 Aug 2006 09:34:13 +0200 (MEST) writes:
Duncan Murdoch [EMAIL PROTECTED] writes:
I think we need an option to R CMD check rather than a new field in
the
DESCRIPTION.
Dirk Eddelbuettel [EMAIL PROTECTED] writes:
Now, while we're at it, Debian also has a field called Enhances: and IIRC
it provides a means to communicate a relationship 'the other way'. Ie a
package foo, rather than being 'pulled in' by a package bar via a Depends,
makes itself available to
Full_Name: Patrick Lenon
Version: 2.3.1
OS: Solaris 10
Submission from: (NULL) (144.92.92.204)
During ./configure of R 2.3.1 (R-home directory of `/u/home/lenon/R/ru231/') I
got this feedback shown below.
configure: WARNING: floatingpoint.h: present but cannot be compiled
configure: WARNING:
Hi,
The .checkRversion helper function is defined twice in
available.packages. I'm pretty sure one definition will suffice.
Untested patch below.
+ seth
diff --git a/src/library/utils/R/packages.R b/src/library/utils/R/packages.R
index 0b84f02..5184992 100644
---
Duncan Murdoch wrote:
On 8/30/2006 4:44 AM, Martin Maechler wrote:
FrL == friedrich leisch [EMAIL PROTECTED]
on Wed, 30 Aug 2006 09:34:13 +0200 (MEST) writes:
Duncan Murdoch [EMAIL PROTECTED] writes:
I think we need an option to R CMD check rather than a new field in
the
[Cross-posting to BioC-devel to]
Thank you for this.
The changes are internal but extensive. All packages that use S4
methods and classes need to be reinstalled from source to use the new
version.
Is there an easy way to detect if a package is using S4 or not? If
so, I could scan my
John Chambers wrote:
A revision of r-devel 2.4.0 is being committed today with changes to
method and class management.
The changes are internal but extensive. All packages that use S4
methods and classes need to be reinstalled from source to use the new
version.
A footnote on this.
Henrik Bengtsson wrote:
[Cross-posting to BioC-devel to]
Thank you for this.
The changes are internal but extensive. All packages that use S4
methods and classes need to be reinstalled from source to use the new
version.
Is there an easy way to detect if a package is using S4 or not?
If
On 8/30/06, Prof Brian Ripley [EMAIL PROTECTED] wrote:
On Wed, 30 Aug 2006, Henrik Bengtsson wrote:
[Cross-posting to BioC-devel to]
Thank you for this.
The changes are internal but extensive. All packages that use S4
methods and classes need to be reinstalled from source to use
On 8/30/2006 1:35 PM, John Chambers wrote:
Henrik Bengtsson wrote:
[Cross-posting to BioC-devel to]
Thank you for this.
The changes are internal but extensive. All packages that use S4
methods and classes need to be reinstalled from source to use the new
version.
Is there an easy way to
Duncan Murdoch wrote:
On 8/30/2006 12:28 PM, Paul Gilbert wrote:
Duncan Murdoch wrote:
On 8/30/2006 4:44 AM, Martin Maechler wrote:
FrL == friedrich leisch [EMAIL PROTECTED]
on Wed, 30 Aug 2006 09:34:13 +0200 (MEST) writes:
Duncan Murdoch [EMAIL PROTECTED] writes:
I think we
Henrik Bengtsson [EMAIL PROTECTED] writes:
I think it's more complicated than this. First of all, is it
mandatory for a package to be explicit about 'methods'? Second, there
are many packages that imports 'methods' implicitly via dependency of
other S4 packages, .e.g see many Bioconductor
First, I compliment you all
for such a useful project as R.
Suggestion: If read.table() could
take input from a character string,
then one could write
raw=
x y z
1 2 3
4 5 6
df = read.table(raw,head=TRUE)
Of course, one can
cat() to write raw into a
temporary file,
and
Hello!
I have already reported on this behaviour at [1] and now I have checked
the same example on r-devel and the problem is still there. Thomas
Lumley inidicated problem [2]. Example:
n - 50
x - runif(n=n)
y1 - 2 * x + rnorm(n=n)
y2 - 5 * x + rnorm(n=n)
y2[sample(1:n, size=5)] - NA
y -
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