Greetings.
Is there any way to get R to take a regression model object and draw a
plot of the regression function? How about overlaying that plot over a
scatterplot of the actual data? Thanks in advance for any help anyone
can provide.
Aaron
-
Aaron Solomonâ (âben Saul Josephâ) âAdelman
E
It works great now. Thanks, guys!
Aaron
On 20 ××× 2004, at 10:10, Duncan Murdoch wrote:
On Mon, 20 Sep 2004 10:00:19 -0400, [EMAIL PROTECTED] wrote :
Greetings.
These days I find myself writing a lot of functions to handle routine
things. One of these is a function to create a scatterplot of
var
Greetings.
These days I find myself writing a lot of functions to handle routine
things. One of these is a function to create a scatterplot of
variables and draw a lowessed line so I can get some idea if there's
any relationship between them.
lowessed.plot <- function(x, y)
{ plot(x, y)
sions returned
identical results. Thanks again, everybody.
Aaron
-
Aaron Solomon (ben Saul Joseph) Adelman
E-mail: [EMAIL PROTECTED]
Web site: http://people.musc.edu/~adelmaas/
AOL Instant Messenger & Yahoo! Messenger: Hiergargo
AIM chat
On 22 ××× 2004, at 06:09, [EMAIL PROTECTED] wrote:
Message: 5
Date: Wed, 21 Jul 2004 13:48:53 +0200
From: [EMAIL PROTECTED] ( Bj?rn-Helge Mevik )
Subject: Re: [R] Precision in R
To: [EMAIL PROTECTED]
Message-ID: <[EMAIL PROTECTED]>
Content-Type: text/plain; charset=iso-8859-1
Since you didn't say a
(It doesn't seem
to be in the R Language Definition.) Thanks in advance for any help
anyone can provide.
Aaron
-
Aaron Solomon (ben Saul Joseph) Adelman
E-mail: [EMAIL PROTECTED]
Web site: http://people.musc.edu/~adelmaas/
AOL Instant Messenger & Yahoo! Messenger: Hierg
Greetings.
I'm getting started learning R, and I'm trying to reproduce some models
I've done previously in SAS. I'm trying to fit simple Poisson
regressions, and I keep getting impossible results: the models predict
negative numbers of cases for many observations. The code for the
models are
