/10/3 Renaud Lancelot :
> I see C:/R\R-2.11.1\share\texmf\Rd.sty which is my current R
> installation. By the way, there is no error during the compilation
> with
>
> R CMD Rd2dvi --no-clean dja.Rd
>
> So, it looks that the problem is located elsewhere...
>
> Thank you
:
> On 03/10/2010 1:14 PM, Renaud Lancelot wrote:
>>
>> Thank you very much. My LaTeX installation is up to date (very
>> recently updated with MIKTeK update facility).
>> I have run R CMD Rd2dvi --no-clean dja.Rd and the result looks OK. I
>> have put
?
Renaud
2010/10/3 Duncan Murdoch :
> On 03/10/2010 12:23 PM, Renaud Lancelot wrote:
>>
>> Dear all,
>>
>> I have a problem with an Rd file containing French accentuated
>> characters. I have uploaded the file at
>> http://filex.cirad.fr/get?k=cjW7lImMaNC6Ci
datasets methods
[8] base
other attached packages:
[1] fortunes_1.4-0
--
Renaud Lancelot
EDEN Project, coordinator
http://www.eden-fp6project.net/
UMR CIRAD-INRA "Contrôle des maladies animales exotiques et émergentes"
Joint research unit "Control of emerging and exotic animal d
Dear Kevin,
I often use Epi Info to develop questionnaires and databases with MSc
/ PhD students for the purpose of field surveys. It's straightforward
to send queries in the Epi Info databases (MS Access format) and
retrieve data using packages like RODBC.
All the best,
Renaud
2010/8/31 Sulliv
Thank you for this explanation. As the package maintainer for aod
(second warning message), I found where the warning came from and will
post an update soon.
Kind regards,
Renaud
2007/4/1, Prof Brian Ripley <[EMAIL PROTECTED]>:
> On Sun, 1 Apr 2007, Renaud Lancelot wrote:
>
quot;
other attached packages:
aodRODBC fortunes svIO R2HTML svMisc svSocketsvIDE
"1.1-18" "1.1-8" "1.3-2" "0.9-5" "1.58" "0.9-5" "0.9-5" "0.9-5"
--
Renaud LANCELOT
Département Systèmes Biol
(mm)"
> > fm <- lme(distance ~ poly(age, 3, raw=3DTRUE) + Sex, data =3D Orthodont=
,
> random =3D ~1)
> > predict(fm, Newdata)
> M01 M01 M01 M01 M02 M02
> 25.52963 26.51111 27.99259 29.43703 21.75617 22.73765
> attr(,"label
; > fm <- lme(distance ~ poly(age, 3, raw=TRUE) + Sex, data = Orthodont,
> random = ~1)
> > predict(fm, Newdata)
> M01 M01 M01 M01 M02 M02
> 25.52963 26.51111 27.99259 29.43703 21.75617 22.73765
> attr(,"label")
> [1] &q
Full_Name: Renaud Lancelot
Version: Version 2.3.0 (2006-04-24)
OS: MS Windows XP Pro SP2
Submission from: (NULL) (82.239.219.108)
I think there is a bug in predict.lme, when a polynomial generated by poly() is
used as an explanatory variable, and a new data.frame is used for predictions. I
guess
it should behave in this manner.
>
> ______
> R-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>
--
Renaud LANCELOT
Directeur Adjoint chargé des Affaires Scientifiques
Deputy Director for Scientific Affairs
Départ
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