On Tue, 14 Apr 2009, jimm-pa...@gmx.de wrote:
Hi all,
I'm fitting a line to my dataset. Later I want to predict missing values that exceed the
[min,max] interval of my empirical data, therefore I choose surface=direct
for extrapolation.
Hi all,
I'm fitting a line to my dataset. Later I want to predict missing values that
exceed the [min,max] interval of my empirical data, therefore I choose
surface=direct for extrapolation.
l1-loess(y1~x1,span=0.1,data.frame(x=x1,y=y1),control=loess.control(surface=direct))
In my application
Below.
Bert Gunter
Genentech Nonclinical Biostatistics
650-467-7374
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of jimm-pa...@gmx.de
Sent: Tuesday, April 14, 2009 10:08 AM
To: r-help@r-project.org
Subject: [R] Forcing the
On Tue, Apr 14, 2009 at 1:08 PM, jimm-pa...@gmx.de wrote:
I'm fitting a line to my dataset. Later I want to predict missing values that
exceed the [min,max] interval of my empirical data, therefore I choose
surface=direct for extrapolation.
Hi Torsten,
If you are fitting a line, why are you using loess? Why not simply
use lm to fit a regression line that goes through the origin? (i.e.
with no intercept).
Julian
jimm-pa...@gmx.de wrote:
Hi all,
I'm fitting a line to my dataset. Later I want to predict missing values that
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