Thanks for the isoMDS pointer. I found one
implementation
of isomap at
http://user.cs.tu-berlin.de/~astro/kmethods
though the web page suggests the code may be immature.
--- Jari Oksanen [EMAIL PROTECTED] wrote:
On Thu, 2006-06-15 at 07:13 +0300, Jari Oksanen
wrote:
1) use
Hello,
I'm curious if anyone has encounted a version of this
problem
(and it's solution) involving finding a consistent set
of scales
for subsets of survey data.
The goal is to obtain peoples' rankings of pairwise
similarity of a large
number of items, on a 1..5 scale for example, and
average
Hello
I will be applying MDS (actually Isomap) to make a
psychological
concept map of the similarities between N concepts.
I would like to scale to a large number of concepts,
however, the
resulting N*(N-1) pairwise similarities is prohibitive
for a user survey.
I'm thinking of giving people
Hello,
I'm curious if anyone has encounted a version of this
problem
(and it's solution) involving finding a consistent set
of scales
for subsets of survey data.
The goal is to obtain peoples' rankings of pairwise
similarity of a large
number of items, on a 1..5 scale for example.
How
Thanks for your time, this is the answer I was looking
for.
I would say that R is rather bad at calculating the
bounding box
in this case - it seems to not understand the basic
aspect
ratio of the plot. But, knowing this, fixing it is
possible;
it was the vague feeling that I must be doing
Hello,
suppose one is forming a probability p(x,y), where the
x,y
axes are somewhat accidental and rotation is possible.
I'm thinking about whether the discrete entropy H(x,y)
should change
if the probability is rotated in the x,y plane.
My current conclusion is that it _does_ change, at
and type specified in trellis.device
call).
Martin
On 15/03/2006, at 2:44 PM, context grey wrote:
--- Duncan Murdoch [EMAIL PROTECTED] wrote:
The R graphics model is that the drawing surface
is
established first,
then the things you draw are adjusted to fit in
it.
R won't
Hello,
I recently posted a question about my troubles with
importing
a lattice/trellis figure into latex.
To recap,
The figure contains 3 scatterplots, so it should have
roughly a 1:3 sort
of aspect ratio, in order to make each of the
scatterplots square.
Instead, the whole figure comes out
Thank you. However I don't think I understand the
response here.
In what sense do I want a nonstandard layout?
Is because I am specify aspect=1/1 in the xyplot() ?
If so, then is there some other way to cause the
scatterplot
to be rougly square? I took this out and looked at
the result
--- Duncan Murdoch [EMAIL PROTECTED] wrote:
The R graphics model is that the drawing surface is
established first,
then the things you draw are adjusted to fit in it.
R won't change the
shape of the display because you are drawing more
things on it.
Thanks, this comment clarifies
Hi, a problem involving postscript bounding boxes:
I'm composing three scatterplots into a single figure,
postsript for publication.
The individual scatterplots should be square, so
the overall figure should have a roughly 1:3 sort of
aspect ratio.
By default however, the overall figure comes
Hi,
Apology for this question being off the topic (OT) of
R, though I expect
this list might be the best place on the net to ask
this question.
In brief, the question is: what classification
algorithm
can one use if the features are histograms?
I have a classification problem, and believe
Hi,
Is there something like a hashtable or (python)
dictionary in R/Splus?
(If not, is there a reason why it's not needed /
typical way to accomplish the same thing?)
Thank you
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