On Jun 13, 2010, at 10:20 PM, array chip wrote:
Hi, this is not R technical question per se. I know there are many excellent
statisticians in this list, so here my questions: I have dataset with ~1800
observations and 50 independent variables, so there are about 35 samples per
variable. Is
Hi,
Marcs explanation is valid to a certain extent, but I don't agree with
his conclusion. I'd like to point out the curse of
dimensionality(Hughes effect) which starts to play rather quickly.
The curse of dimensionality is easily demonstrated looking at the
proximity between your datapoints.
Dear all,
(this first part of the email I sent to John earlier today, but forgot to put it
to the list as well)
Dear John,
Hi, this is not R technical question per se. I know there are many excellent
statisticians in this list, so here my questions: I have dataset with ~1800
observations
I think the real issue is why the fit is being
done. If it is solely to interpolate and condense
the dataset, the number of variables is not an important issue.
If the issue is developing a model that will
capture causality, it is hard to believe that can
be accomplished with 50+ variables.
Joris,
There are two separate issues here:
1. Can you consider an LR model with 50 covariates?
2. Should you have 50 covariates in your LR model?
The answer to 1 is certainly yes, given what I noted below as a general working
framework. I have personally been involved with the development
On Mon, 14 Jun 2010, Joris Meys wrote:
Hi,
Marcs explanation is valid to a certain extent, but I don't agree with
his conclusion. I'd like to point out the curse of
dimensionality(Hughes effect) which starts to play rather quickly.
Ahem!
... minimal, self-contained, reproducible code ...
correlation, How would LR model behave?
Thanks
John
- Original Message
From: Charles C. Berry cbe...@tajo.ucsd.edu
To: Joris Meys jorism...@gmail.com
Cc: r-help@r-project.org; Marc Schwartz marc_schwa...@me.com
Sent: Mon, June 14, 2010 8:32:02 AM
Subject: Re: [R] logistic regression
: Charles C. Berry cbe...@tajo.ucsd.edu
To: Joris Meys jorism...@gmail.com
Cc: r-help@r-project.org; Marc Schwartz marc_schwa...@me.com
Sent: Mon, June 14, 2010 8:32:02 AM
Subject: Re: [R] logistic regression with 50 varaibales
On Mon, 14 Jun 2010, Joris Meys wrote:
Hi,
Marcs explanation is valid
Hi, this is not R technical question per se. I know there are many excellent
statisticians in this list, so here my questions: I have dataset with ~1800
observations and 50 independent variables, so there are about 35 samples per
variable. Is it wise to build a stable multiple logistic model
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