Hi Peter,
Quoting Peter Ehlers :
On 2011-02-18 12:32, Juergen Rose wrote:
Am Freitag, den 18.02.2011, 11:53 -0800 schrieb Peter Ehlers:
On 2011-02-18 11:16, Juergen Rose wrote:
If do:
library("e1071")
example(svm)
I get:
svm> data(iris)
svm> attach(iris)
svm> ## classification m
Dear Jürgen,
I just tried update.packages (checkBuilt = TRUE), it did not solved the
issue.
Was just a guess.
Nevertheless thanks,
Bitte, bitte.
In case that helps tracking down the problem:
it works with my normal R as well as with r-devel. In case it helps you, I also
put the installati
Am Freitag, den 18.02.2011, 21:42 +0100 schrieb Claudia Beleites:
> update.packages (checkBuilt = TRUE)
Dear Claudia,
I just tried update.packages (checkBuilt = TRUE), it did not solved the
issue.
Nevertheless thanks,
Juergen
__
R-help@r-project.org
On 2011-02-18 12:32, Juergen Rose wrote:
Am Freitag, den 18.02.2011, 11:53 -0800 schrieb Peter Ehlers:
On 2011-02-18 11:16, Juergen Rose wrote:
If do:
library("e1071")
example(svm)
I get:
svm> data(iris)
svm> attach(iris)
svm> ## classification mode
svm> # default with factor res
Dear Jürgen,
did you update.packages (checkBuilt = TRUE) ?
I recently had segfaults, too on 64bit linux (with rgl, though) and they
disappeared only after updating with checkBuilt (including also the packages
originally installed via Dirk's .deb packages.
HTH,
Claudia
On 02/18/2011 09:32
Am Freitag, den 18.02.2011, 11:53 -0800 schrieb Peter Ehlers:
> On 2011-02-18 11:16, Juergen Rose wrote:
> > If do:
> >> library("e1071")
> >> example(svm)
> >
> > I get:
> >
> >
> > svm> data(iris)
> >
> > svm> attach(iris)
> >
> > svm> ## classification mode
> > svm> # default with factor res
On 2011-02-18 11:16, Juergen Rose wrote:
If do:
library("e1071")
example(svm)
I get:
svm> data(iris)
svm> attach(iris)
svm> ## classification mode
svm> # default with factor response:
svm> model<- svm(Species ~ ., data = iris)
svm> # alternatively the traditional interface:
svm> x<
If do:
> library("e1071")
> example(svm)
I get:
svm> data(iris)
svm> attach(iris)
svm> ## classification mode
svm> # default with factor response:
svm> model <- svm(Species ~ ., data = iris)
svm> # alternatively the traditional interface:
svm> x <- subset(iris, select = -Species)
svm> y <- S
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