cindy Guo wrote:
Hi, All,
I have a dataset with binary response ( 0 and 1) and some numerical
covariates. I know I can use logistic regression to fit the data. But I
want
to consider more locally. So I am wondering how can I fit the data with
'loess' function in R? And what will be the
Actually, loess is much more than an interpolant. I wouldn't
even call it that. It is a local regression technique that comes
with all the equipment you get in classical regression. But it
is meant for normal-like errors, which is not what you have.
-- This is misleading. The local
Are X1 and X2 both numeric? You might want to get them on equivalent
scales, and also play around with the smoothing parameter.
Try something like:
fit - locfit(Y ~ lp(X1, X2, nn=___, scale=TRUE), family=binomial)
and see what happens for different values of nn (try values between 0
and 1
Bert Gunter gunter.berton at gene.com writes:
Actually, loess is much more than an interpolant. I wouldn't
even call it that. It is a local regression technique that comes
with all the equipment you get in classical regression. But it
is meant for normal-like errors, which is not
Bert, Ryan, Alain,
You suggestions are very helpful. Thank you. I learned a lot from the
discussion.
Cindy
On Tue, Jul 28, 2009 at 8:53 AM, Ryan rha...@purdue.edu wrote:
Bert Gunter gunter.berton at gene.com writes:
Actually, loess is much more than an interpolant. I wouldn't
even
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of cindy Guo
Sent: Monday, July 27, 2009 4:06 PM
To: r-help@r-project.org
Subject: [R] local regression using loess
Hi, All,
I have a dataset with binary response ( 0 and 1) and some
-boun...@r-project.org]
On
Behalf Of cindy Guo
Sent: Monday, July 27, 2009 4:06 PM
To: r-help@r-project.org
Subject: [R] local regression using loess
Hi, All,
I have a dataset with binary response ( 0 and 1) and some numerical
covariates. I know I can use logistic regression to fit
Hi, All,
I have a dataset with binary response ( 0 and 1) and some numerical
covariates. I know I can use logistic regression to fit the data. But I
want
to consider more locally. So I am wondering how can I fit the data with
'loess' function in R? And what will be the response:
Hi, Ryan,
Thank you for the information. I tried it. But there are some error
messages.
When I use fit - locfit(Y~X1*X2,family='binomial'), the error message is
error lfproc(x, y, weights = weights, cens = cens, base = base, geth =
geth, :
compparcomp: parameters out of bounds
And when I use
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