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
Hello, I am working on a small data set and trying to find values of Qmax
and Kl for the equation
qe = (Qmax * Kl * ce) / (1 + š¾l* ce)
I found my Qmax and Kl through the linear model butam now trying to find
them through the "nls" function however an error comes up that I am
unfamiliar with. I ha
Hello everyone,
I am looking into time series data compression at the moment.
The idea is to fit a curve on a time series of n points so that the maximum
deviation on any of the points is not greater than a given
threshold. In other words, none of the values that the curve takes at the
points
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
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 - EFFECT * XVAR^GAMMA
/ (XVAR
801.408.8111
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Tatiana Donnay
> Sent: Thursday, September 15, 2011 6:41 AM
> To: r-h...@stat.math.ethz.ch
> Subject: [R] Nonlinear regression question
>
> Hel
Hello,
If I understand good, I can't have p-value for the nls model.
I have 2 vectors. And I'am doing
model <- nls(crf ~a*(1-exp(-x/b)) + c, data= d,
start = list(a=1, b=3, c=0))
and I want to know If my result is significat, if I can't have p-value, how can
I know it?
Thank y
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:
I'm wondering what packages exist to implement nonlinear least squares
regression in R other than 'nls'. Are there packages which implement
methods to estimate the optimum values of the parameters which do not
use the Gauss-Newton algorithm e.g. use Nelder Mead. In particular,
I'd be interested whe
Hi,
we have a function that calculates a value for each day of the year.
For example an iterative function like
actvalue_0 := 0
actvalue_ {t+1} := actvalue_t + f(param_1,param_2,actvalue_t)
and for some days we have measurements. Now we want to choose param_1
and param_2 so that the function va
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$Y),L
"Jared Blashka" wrote in message
news:aanlktinffmudugqnkudvr=fmf0wrrtsbjxjexuki_...@mail.gmail.com...
> I'm working with 3 different data sets and applying this non-linear
> regression formula to each of them.
>
> nls(Y ~ (upper)/(1+10^(X-LOGEC50)), data=std_no_outliers,
> start=list(upper=max(s
I'm working with 3 different data sets and applying this non-linear
regression formula to each of them.
nls(Y ~ (upper)/(1+10^(X-LOGEC50)), data=std_no_outliers,
start=list(upper=max(std_no_outliers$Y),LOGEC50=-8.5))
Previously, all of the regressions were calculated in Prism, but I'd like to
be
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
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
300 578.0496
325 525.496
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
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of [EMAIL PROTECTED]
Sent: Wednesday, 21 May 2008 9:23 AM
To: r-help@r-project.org
Subject: [R] Nonlinear regression
Could someone help me on the following:
SAS has DUD (Does not Use Derivatives) for nonlinear regression.
Does "R"
Phone: +61 7 3286 7700
mailto:[EMAIL PROTECTED]
http://www.cmis.csiro.au/bill.venables/
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of [EMAIL PROTECTED]
Sent: Wednesday, 21 May 2008 9:23 AM
To: r-help@r-project.org
Subject: [R] Nonlinear
Could someone help me on the following:
SAS has DUD (Does not Use Derivatives) for nonlinear regression.
Does "R" has a similar capability?
I am not good at derivatives and may get my derivative wrong before
feeding it to a nonlinear regression procedure.
Any help would be much appreciated.
L
Dear R users.
I would like to ask you a nonlinear regression
problem that I have. Thr model is
y=integrate(1/[(a+b*cos(x))*sqrt{(a+b*cos(x))^2-h^2}],from 0
to x)
I tried the following code in writing the function and the
minimization:
y=c( 3.2, 3.4, 3.2, 3, 3.4, 3.1, 3.2, 3.3, 3.5, 3.4, 3.2,
Hi, are you aware of any R packages that can fit a nonlinear
regression model to a dataset with power exponential distributed
random errors?
Daniel
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posti
I would appreciate some suggestions about nonlinear regression available in
R ... possible methods and plenty of worked out examples
I have a bunch of noisy curves representing breathing amplitude from medical
physics experiments recoding patients' breathing tracks in form of
Amplitude, Phase
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