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
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,
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
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.
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
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
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
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
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,
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
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
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 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
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
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
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
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