Gabor Grothendieck wrote:
> On Wed, Apr 21, 2010 at 4:26 PM, Peter Dalgaard wrote:
...
>> I.e., that R reverts to using indicator variables when the intercept is
>> absent.
>
> Is there any nice way of getting contr.sum coding for the interaction
> as opposed to the ugly code in my post that I us
On Wed, Apr 21, 2010 at 11:38 PM, Berwin A Turlach
wrote:
>> > # But I was expecting this since I am using contr.sum
>> > cbind(1, model.matrix(~ fac)[,2:3] * scores)
>> fac1 fac2
>> 1 1 -2 0
>> 2 1 -1 0
>> 3 1 0 0
>> 4 1 1 0
>> 5 1 2 0
>> 6 1 0 -2
>> 7
G'day Gabor,
On Wed, 21 Apr 2010 14:00:33 -0400
Gabor Grothendieck wrote:
> Below are two cases where I don't seem to be getting contr.sum
> contrasts even though they were specified. Are these bugs?
Short answer: no. :)
> The first case is an interaction between continuous and factor
> varia
Hi all,
Today, i just installed the newest R version 2.10.1 and other necessary
tools for building R package under windows,e.g. Rtools, perl. All are the
newest version.
After the correct configuration under windows (configuration should be
correct), i use it to re-check my old package. I fou
There appears to be a bug in RUnit.
Given a testsuite testsuite.math, say, when I run:
runTestSuite(testsuite.math)
this works fine, provided there are no extraneous files in the
unit test subdirectory.
But if there are any Emacs temp files (with names that
end with '~') then runTestSuite gets
If I were worried about the time this loop takes,
I would avoid using i%nt. For the attached C code
compile with gcc 4.3.3 with -O2 I get
> # INTEGER() in loop
> system.time( r1 <- .Call("my_rep1", 1:3, 1e7) )
user system elapsed
0.060 0.012 0.071
> # INTEGER() before loop
On Apr 21, 2010, at 4:39 PM, Simon Urbanek wrote:
>
> On Apr 21, 2010, at 4:13 PM, Romain Francois wrote:
>
>> Le 21/04/10 21:39, Simon Urbanek a écrit :
>>>
>>>
>>> On Apr 21, 2010, at 3:32 PM, Romain Francois wrote:
>>>
Le 21/04/10 17:54, Matthew Dowle a écrit :
>
>> From cop
On Wed, Apr 21, 2010 at 4:26 PM, Peter Dalgaard wrote:
> As for case #1, the rules are tricky in cases where interactions are
> present without main effects, but AFAICS, what you observe is
> essentially the same effect as
>
>> model.matrix(~fac-1, contrasts=list(fac="contr.sum"))
> fac1 fac2 fa
On Apr 21, 2010, at 4:13 PM, Romain Francois wrote:
> Le 21/04/10 21:39, Simon Urbanek a écrit :
>>
>>
>> On Apr 21, 2010, at 3:32 PM, Romain Francois wrote:
>>
>>> Le 21/04/10 17:54, Matthew Dowle a écrit :
> From copyVector in duplicate.c :
void copyVector(SEXP s, SEXP t
Gabor Grothendieck wrote:
> R version 2.10.1 (2009-12-14)
> Copyright (C) 2009 The R Foundation for Statistical Computing
> ISBN 3-900051-07-0
>
> R is free software and comes with ABSOLUTELY NO WARRANTY.
> You are welcome to redistribute it under certain conditions.
> Type 'license()' or 'licence
Le 21/04/10 21:39, Simon Urbanek a écrit :
On Apr 21, 2010, at 3:32 PM, Romain Francois wrote:
Le 21/04/10 17:54, Matthew Dowle a écrit :
From copyVector in duplicate.c :
void copyVector(SEXP s, SEXP t)
{
int i, ns, nt;
nt = LENGTH(t);
ns = LENGTH(s);
switch (TYPEOF(
On Apr 21, 2010, at 3:32 PM, Romain Francois wrote:
> Le 21/04/10 17:54, Matthew Dowle a écrit :
>>
>>> From copyVector in duplicate.c :
>>
>> void copyVector(SEXP s, SEXP t)
>> {
>> int i, ns, nt;
>> nt = LENGTH(t);
>> ns = LENGTH(s);
>> switch (TYPEOF(s)) {
>> ...
>> case
On Apr 21, 2010, at 2:15 PM, Seth Falcon wrote:
> On 4/21/10 10:45 AM, Simon Urbanek wrote:
>> Won't that miss the last incomplete chunk? (and please don't use
>> DATAPTR on INTSXP even though the effect is currently the same)
>>
>> In general it seems that the it depends on nt whether this is
>
Le 21/04/10 17:54, Matthew Dowle a écrit :
From copyVector in duplicate.c :
void copyVector(SEXP s, SEXP t)
{
int i, ns, nt;
nt = LENGTH(t);
ns = LENGTH(s);
switch (TYPEOF(s)) {
...
case INTSXP:
for (i = 0; i< ns; i++)
INTEGER(s)[i] = INTEGER(t)[i % nt]
On 4/21/10 10:45 AM, Simon Urbanek wrote:
Won't that miss the last incomplete chunk? (and please don't use
DATAPTR on INTSXP even though the effect is currently the same)
In general it seems that the it depends on nt whether this is
efficient or not since calls to short memcpy are expensive (ver
R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
Natural
Matt,
On Apr 21, 2010, at 11:54 AM, Matthew Dowle wrote:
>> From copyVector in duplicate.c :
>
> void copyVector(SEXP s, SEXP t)
> {
>int i, ns, nt;
>nt = LENGTH(t);
>ns = LENGTH(s);
>switch (TYPEOF(s)) {
> ...
>case INTSXP:
>for (i = 0; i < ns; i++)
>INTEGER(s)[i
>From copyVector in duplicate.c :
void copyVector(SEXP s, SEXP t)
{
int i, ns, nt;
nt = LENGTH(t);
ns = LENGTH(s);
switch (TYPEOF(s)) {
...
case INTSXP:
for (i = 0; i < ns; i++)
INTEGER(s)[i] = INTEGER(t)[i % nt];
break;
...
could that be replaced with :
c
Simon,
I see what you mean, and I agree it would be nice to have a connection.
That would be the natural way in S.
Yet, connections are driven by R. You cannot open a connection and let
the connected device trigger some R code when data is available, don't you?
Otherwise, I don't understand
Philippe,
unfortunately that approach has one major drawback - it does not give you a
connection. As I said in the previous e-mail it is fairly easy to talk to a tty
directly, but the challenge is to turn it into a connection. I don't like the
Tcl approach for several reasons, one of them being
The CRAN package check page now shows results on Sparc Solaris 10
using a server donated by Sun.
This box tests several different aspects from the existing Intel-based
test boxes:
- the CPU is big-endian.
- it does not have extended-precision doubles in FPU registers. (It
does support long
There is another option I use since a couple of years to pilot
scientific devices, to program my chemostats, etc. and that is
platform-independent: Tcl.
Tcl i/o design is excellent and very robust, and Tcl/Tk is integrated in
R with the tcltk package.
It is really just a mather of a few line
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