x11(xpos = 1) # makes one on the left
x11(xpos = -1) # makes one on the right
Thanks you very much, I'll try that.
Is there any difference between x11 and X11?
Christophe
Patrick Connolly <[EMAIL PROTECTED]> a écrit :
On Mon, 16-Jun-2008 at 09:43AM +0200, [EMAIL PROTECTED] wrote:
I do
On Mon, 16-Jun-2008 at 09:43AM +0200, [EMAIL PROTECTED] wrote:
> I do not realy care about 5", 8" or 20", I use it when I devellop, I
> will remove it for the final package. I just want the two windows
> to not be one on the top of the other. I do not care if one in on
> right, the other left, o
X11() is the standard Unix device: see your subject line. Testing x11()
under Windows isn't relevant to your subject line (which in any case is
not helpful -- the posting guide asks you to use informative subject
lines).
There is no 'R 2.7', and you are explicitly asked in the posting guide n
Hi
I entirely agree with Patrick, and would add 'why do you think a 5"
square window is appropriate on both 8" and 30" monitors?'.
I do not realy care about 5", 8" or 20", I use it when I devellop, I
will remove it for the final package.
I just want the two windows to not be one on the top of
If you want a new device opened you can call dev.new() In current R.
X11() does have xpos and ypos, *but* there is no guarantee that any value
you choose will not be the same as the default. Indeed, with
windows(5,5,xpos=0) you will put your second window on top of the first
one in my setup.
Generally, I like to use a pdf device which can have any number of
pages.
I am proposing a graphical way a selecting a clusterization based a
quality criterion. In order to avoid local maximum, you can build
something like 10 000 clusterization. Exporting all of them has no
sence. So I open t
On Fri, 13-Jun-2008 at 04:51PM +0200, [EMAIL PROTECTED] wrote:
> Hi the list,
>
> I write a package for clusterizing longitudinal data using a non parametric
> algorithm. I develop the package under windows. To be as user friendly as
> possible, the package use some graphical procedure to "show"
Hi the list,
I write a package for clusterizing longitudinal data using a non
parametric algorithm. I develop the package under windows. To be as
user friendly as possible, the package use some graphical procedure to
"show" to the user the evolution of the cluster construction, and to
export
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