V2.4.0.
hc
Call:
hclust(d = dist(mtx2, method = manh), method = average)
Cluster method : average
Distance : manhattan
Number of objects: 9
plot(hc)
identify(hc)
Error in cutree(x, k = 2:MAXCLUSTER) : elements of 'k' must be between 1 and 9
David Farrar, Ph.D
It's good to see this sort of thing discussed.
For my current approach, I keep a fairly static directory for function
libraries,
another one for large data sets, and others for projects. I try to define
tasks (probably like your analyses) within projects. There is a project
All,
I have done a cluster analysis analysis of some spatial locations,
based on variables other than lat-long, and want to show the results
on a map to see if my clusters have some geographic meaning.
For kmeans (etc.) I would just use different symbols (etc.)
to distinguish
I am just joining this thread. Regarding a tendency of journals to lock out
the use of particular packages, there are rumours that SAS proc mixed has to be
used for particular things. I wonder if whether R might displace SAS or proc
mixed in such a role could depend on wether there the QA
In addition to the 25 numbers, I assume you have coordinates of each field.
Otherwise, I don't understand what you are trying to do. I think ecologists
like to use a test due to Mantel in this situation.
The prefix auto means self, of course, the idea being that measurements
I seem to remember a term lurking variable.
Bert Gunter [EMAIL PROTECTED] wrote:
... But of course this is always the question underlying all empirical -- or
maybe even scientific -- analysis: is there some other perhaps more
fundamental variable out there that I'm missing that would
book.
HTH,
Miltinho
Brazil
David Farrar [EMAIL PROTECTED] escreveu:
In addition to the 25 numbers, I assume you have coordinates of each field.
Otherwise, I don't understand what you are trying to do. I think ecologists
like to use a test due to Mantel in this situation
at
Legendre Legendre text book.
HTH,
Miltinho
Brazil
David Farrar escreveu:
In addition to the 25 numbers, I assume you have coordinates of each field.
Otherwise, I don't understand what you are trying to do. I think ecologists
like to use a test due to Mantel in this situation
Something like this may be reasonably efficient. I create a length-500
list of 1400*4 matrices of uniform random numbers.
Farrar
numArrays - 500 # number of arrays
arrDim1 - 1400 # array num. rows
arrDim2 - 4 # array num. cols
arrList - list(numArrays,
that package.
You might have a look at the bayesm package. For that, you can find lots of
examples in a text on Bayes in marketing (Rossi et al.)
David Farrar
New River Analytic
540-818-7373
Frank Grex [EMAIL PROTECTED] wrote:
Hi, I need a help to know whether I can perform
I like to monitor simulation by reporting some current values to the
console, every 25th iteration say. I think it might be nice to have
that appear in a separate window. Anyone know how?
regards,
David Farrar
New River Analytic
[[alternative HTML version
I would like to do recursive partitioning when the response is a
count variable subject to overdispersion, using say negative
binomial likelihood or something like quasipoisson in glm. Would
appreciate any thoughts on how to go about this (theory/computation).
If I understand the rpart
Have a look at the function arguments. I think the function may not split a
set of fewer than 20 objects, which is a default setting that can be changed.
In addition to rpart, you might want to look at tree.
regards,
Farrar
Wensui Liu [EMAIL PROTECTED] wrote:
with seeing more
Stella,
An obvious answer is
?step
However, I'm having a bit of a problem with it, lately. I got it wording
with backwards selection, then it didn't work when I changed the direction
from backward to both (backwards and forwards). I would like to know
whatever you find that works.
Regarding interpretable output, I assume you have looked at the
mds plot?
regards,
Farrar
[EMAIL PROTECTED] wrote:
Hi,
I wonder if anyone knows a study dealing with the minimum valid number of
observations when using CART?.
On top of that, when using RandomForest, is it
Zia,
I'm not an expert on Kriging, or on the particular package. It sounds like
you just want to know how to anti-log the predictions,. which shouldn't be
hard. However, depending on what you actually need to predict, it seems your
predictions might be biased, right?
regards,
An idea for an interactive approach is to create a distance matrix with 1 or
0 according as pairs are on the same or different clusters, input that to
hclust, plot, and run identify.hclust.
regards,
Farrar
Monica Pisica [EMAIL PROTECTED] wrote:
Hi Nataniel,
As far as i know
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