Thank you! I didn't realize I wasn't linearizing it correctly. This was
very helpful.
-Timothy
On Tue, Dec 19, 2017 at 10:29 PM, Berwin A Turlach wrote:
> G'day Timothy,
>
> On Tue, 19 Dec 2017 18:28:00 -0600
> Timothy Axberg wrote:
>
> > Should I repost the question with reply-all?
>
> Nope,
G'day Timothy,
On Tue, 19 Dec 2017 18:28:00 -0600
Timothy Axberg wrote:
> Should I repost the question with reply-all?
Nope, we got all from Jeff's post. :)
> On Tue, Dec 19, 2017 at 6:13 PM, Jeff Newmiller
> wrote:
>
> > You also need to reply-all so the mailing list stays in the loop.
> >
Should I repost the question with reply-all?
On Tue, Dec 19, 2017 at 6:13 PM, Jeff Newmiller
wrote:
> You also need to reply-all so the mailing list stays in the loop.
> --
> Sent from my phone. Please excuse my brevity.
>
> On December 19, 2017 4:00:29 PM PST, Timothy Axberg <
> axbergtimo...@g
You also need to reply-all so the mailing list stays in the loop.
--
Sent from my phone. Please excuse my brevity.
On December 19, 2017 4:00:29 PM PST, Timothy Axberg
wrote:
>Sorry about that. Here is the code typed directly on the email.
>
>qe = (Qmax * Kl * ce) / (1 + Kl * ce)
>
>##The data
Your text has unreadable characters in it. Use plain text.
Also, your attachments are not coming through. Read the Posting Guide about
attachments... best results are usually obtained by inserting the R code in the
body of your email and not attaching anything.
--
Sent from my phone. Please e
Dennis Fisher wrote on 10/12/2011 08:06:12 AM:
>
> jean
>
> initial values:
> INITEMAX <- -25
> INITEFFECT <- 25
> INITC50 <- 14
> GAMMA <- INITGAMMA <- 500
>
> see below for other issues.
>
> dennis
>
> Dennis Fisher MD
> P < (The "P Less
Dennis Fisher wrote on 10/11/2011 07:20:35 PM:
>
> Colleagues,
>
> I am fitting an Emax model using nls. The code is:
>START <- list(EMAX=INITEMAX, EFFECT=INITEFFECT, C50=INITC50)
>CONTROL <- list(maxiter=1000, warnOnly=T)
>#FORMULA <- as.formula(YVAR ~ EMAX - EFFEC
What null hypothesis are you trying to test? There is a standard null for
linear models that makes sense in a large number of cases, but what the null is
for non-linear regression is not obvious (and the coefficient = 0 may not even
be possibly, let alone interesting). If you can state what yo
optim()
optimx package
minpackLM package
and several others
JN
On 09/15/2011 06:00 AM, r-help-requ...@r-project.org wrote:
> Message: 77
> Date: Wed, 14 Sep 2011 20:44:16 +0100
> From: Liam Brown
> To: r-help@r-project.org
> Subject: [R] Nonlinear Regression
> Message-ID:
>
> Content-Typ
Hi,
I've had to do something like that before. It seems to be a "feature" of nls
(in R, but not as I recall in Splus) that it accepts a list with vector
components as 'start' values, but flattens the result values to a single
vector.
I can't spend much time explaining, but here's a fragment of
Looking at the source for nlrob, it looks like it saves the coefficients
from the results of running an nls and then passes those coefficients back
into the next nls request. The issue that it's running into is that nls
returns the coefficients as upper, LOGEC501, LOGEC502, and LOGEC503, rather
tha
As an addendum to my question, I'm attempting to apply the solution to the
robust non-linear regression function nlrob from the robustbase package, and
it doesn't work in that situation. I'm getting
allRobustFit <- nlrob(Y ~ (upper)/(1+10^(X-LOGEC50[dset])), data=all
,start=list(upper=max(all$Y),L
"Jared Blashka" wrote in message
news:aanlktinffmudugqnkudvr=fmf0wrrtsbjxjexuki_...@mail.gmail.com...
> I'm working with 3 different data sets and applying this non-linear
> regression formula to each of them.
>
> nls(Y ~ (upper)/(1+10^(X-LOGEC50)), data=std_no_outliers,
> start=list(upper=max(s
Taylor Hermes wrote:
I seek help with nonlinear regression for my data. I've run intro
trouble fitting a model to my data as follows:
rate_parameter stable_population
75 1996.1277
100 1623.2979
125 1362.3475
150 1164.6738
175 1014.8227
200 892.0851
225 794.1844
250 710.1489
275 639.6738
3
Try this version:
http://www.stats.ox.ac.uk/pub/MASS3/Exegeses.pdf
On Sun, Sep 14, 2008 at 6:53 PM, Esther Meenken <[EMAIL PROTECTED]> wrote:
> I was unable to open this file Bill Venables' excellent "Exegeses on
> Linear Models" posted at
> http://www.stats.ox.ac.uk/pub/MASS3/Exegeses.ps.gz I'd
On Sep 14, 2008, at 6:53 PM, Esther Meenken wrote:
I was unable to open this file Bill Venables' excellent "Exegeses on
Linear Models" posted at
http://www.stats.ox.ac.uk/pub/MASS3/Exegeses.ps.gz I'd be very
interested in reading it?
It's a gzipped file that expands into a ps file. On my Mac
[EMAIL PROTECTED] wrote:
> Could someone help me on the following:
> SAS has DUD (Does not Use Derivatives) for nonlinear regression.
>
> Does "R" has a similar capability?
>
nls()
--
Mike Prager, NOAA, Beaufort, NC
* Opinions expressed are personal and not represented otherwise.
* Any use of
sadly.
W.
-Original Message-
From: Spencer Graves [mailto:[EMAIL PROTECTED]
Sent: Wednesday, 21 May 2008 10:03 AM
To: Venables, Bill (CMIS, Cleveland)
Cc: [EMAIL PROTECTED]; r-help@r-project.org
Subject: Re: [R] Nonlinear regression
Let's not be so hard on SAS. I thought it was m
Let's not be so hard on SAS. I thought it was marvelous when I
first used it over 30 years ago.
Spencer Graves
[EMAIL PROTECTED] wrote:
?nls
(I always knew SAS *is* a DUD, but never that it has a DUD too...)
Bill Venables
CSIRO Laboratories
PO Box 120, Cleveland, 4163
AUSTRALI
?nls
(I always knew SAS *is* a DUD, but never that it has a DUD too...)
Bill Venables
CSIRO Laboratories
PO Box 120, Cleveland, 4163
AUSTRALIA
Office Phone (email preferred): +61 7 3826 7251
Fax (if absolutely necessary): +61 7 3826 7304
Mobile: +61 4 8819 4402
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