ts
could help doing this, as I can't insert multiple xlab's (x variable and
A levels, or y variable and B levels) and can't decide which side to use
for writing them.
Does anybody have a hint ? Thank you very much !
--
Ir. Yves BROSTAUX
Unité de Statistique et Informatique
Faculté un
or such a task, in case I would encounter this problem
again ?
--
Ir. Yves BROSTAUX
Unité de Statistique et Informatique
Faculté universitaire des Sciences agronomiques de Gembloux (FUSAGx)
8, avenue de la Faculté
B-5030 Gembloux
Belgique
Tél: +32 81 62 24 6
way to mix different page
orientation in a single postscript device that I missed ?
--
Ir. Yves BROSTAUX
Unité de Statistique et Informatique
Faculté universitaire des Sciences agronomiques de Gembloux (FUSAGx)
8, avenue de la Faculté
B-5030 Gembloux
Belgique
T
ownames can
vary).
Eric Lecoutre's code does exactly what I want, many thanks to both of you.
Richard A. O'Keefe a écrit :
Yves Brostaux <[EMAIL PROTECTED]> wrote:
I want to produce a factor from a subset of the combination of two
vectors. I have the vectors a et b in a data-fra
[18] High
Levels: Low < Medium < High
I was looking for a vectorized solution (apply style) binding
data-frames df and cas, but didn't succeed avoiding the for loop. Could
anybody bring me the ligths over the darkness of my ignorance ? Thank
you very much in
Je suis absent du bureau jusqu'au mardi 1er juin. Vous pouvez faire suivre les
demandes urgentes au secrétariat de STATINFO qui transmettra à qui de droit ([EMAIL
PROTECTED])
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Hello !
I try to plot some data with lattice function xyplot. These data are
separated in two groups by a factor. If I let the default color and symbol
settings, I get the right legent with auto.key. But if I change them by col
and pch arguments, the plot is right but the legend still reflects
size of 100, which took
individually about 4 seconds at most, ran effectively in a little bit more
than 15 minutes for the whole set.
The problem arise with a sample size of 500, increasing single function
computation time normally, but not the whole process !?
At 11:37 28/05/03, you wrote:
Yves Br
Dear members,
I'm using R to do some test computation on a set of parameters of a
function. This function is included in three for() loops, first one for
replications, and the remaining two cycling through possible parameters
values, like this :
for (k in replicates) {
data <- sampling from
0
phyllosticta-leaf-spotphytophthora-rot
3 5
powdery-mildew purple-seed-stain
4 5
rhizoctonia-root-rot
5
Cheers,
And
Well, thank you for your answer, but this is not doing the right thing,
that is predicting the Class value for the test set Soybean[test,]. It
gives instead prediction for data used for forest computation (ignoring all
data with NA's) ; 'data' argument is simply ignored as the right name for
th
(sb.rp, Soybean[test,], type="class")
Thank you all for any advice you can give to me.
--
Ir. Yves Brostaux - Statistics and Computer Science Dpt.
Gembloux Agricultural University
8, avenue de la Faculté B-5030 Gembloux (Belgium)
Tél : +32 (0)81 62 24 69
E
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