Thanks for the info. some notes below:
--- On Mon, 5/18/09, Max Kuhn wrote:
From: Max Kuhn
Subject: Re: [R] bagged importance estimates in earth problem
To: "Joseph Retzer"
Cc: gavin.simp...@ucl.ac.uk, "R help"
Date: Monday, May 18, 2009, 1:03 PM
> If you read my m
ers).
Again, a more careful read of my original email would have made that clear.
Thanks,
--- On Mon, 5/18/09, Max Kuhn wrote:
From: Max Kuhn
Subject: Re: [R] bagged importance estimates in earth problem
To: "Joseph Retzer"
Cc: gavin.simp...@ucl.ac.uk, "R help"
Date: Mond
: "Joseph Retzer"
Cc: "R help"
Date: Saturday, May 16, 2009, 5:19 PM
On Sat, 2009-05-16 at 08:57 -0700, Joseph Retzer wrote:
> I was trying to produced bagged importance estimates of attributes in earth
> using the caret package with the following commands:
>
> fi
I was trying to produced bagged importance estimates of attributes in earth
using the caret package with the following commands:
fit2 <- bagEarth(loyalty ~ ., data=model1, B = 10)
bagImpGCV <- varImp(fit2,value="gcv")
My bootstrap estimates are produced however the second command "varImp"
p
in LaTeX
To: "Joseph Retzer" <[EMAIL PROTECTED]>
Cc: "R help" <[EMAIL PROTECTED]>
Date: Saturday, July 26, 2008, 2:58 AM
There is no 'R 2.7' (see the posting guide). Have you followed the
advice
in the posting guide of using the latest (R-patched) version
I'm using R 2.7 on an Intel MAC.
When I produce a pdf graph, I save the output window from the menu to a pdf
file. This gives a very nice quality graph.
However when I include the graph in a LaTeX document (actually beamer
presentation) using \includegraphics I get a graphic with a very light
I'm running a cluster analysis with many observations (approx. 7,000) using
both continuous and categorical variables. PAM is a theoretically appealing
approach however I believe the number of observations makes its use untenable.
CLARA, which uses the PAM algorithm seems like the algorithm to u
I'm running a cluster analysis with many observations (approx. 7,000) using
both continuous and categorical variables. PAM is a theoretically appealing
approach however I believe the number of observations makes its use untenable.
CLARA, which uses the PAM algorithm seems like the algorithm to u
I've been searching for R code which performs the Howard Harris variant of
k-means clustering but cannot seem to locate it. The Hartigan-Wong algorithm
seems quite similar but not the same.
Does anyone know of code that would accomplish this? The algorithm looks
simple enough to implement mys
When using cl_medoid to create a consensus clustering I've noticed that the
list element in the resulting object containing the cluster assignments by case
will switch between the [1] and [3] positions. This has happened when
re-running the code without changes.
Has anyone else experienced this
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