Dear All,
I have made a script in R (r_nonlinear_leastsquare.R) to fit an exponential
decay curve to my data using nls module:
-
args - commandArgs(trailingOnly = TRUE)
Hello,
I am running a simple nls model (which a friend ran OK) but I get the
following error:
Error in nls(y ~ R * (1 - (x/K)^2), data = nls.dat, start = list(R = 0.3, :
object 'R_nls_iter' not found
Does anyone know what the 'R_nls_iter' error is?
The data are:
x=1:8 ;
On 02-04-2012, at 20:48, Jeff Breiwick wrote:
Hello,
I am running a simple nls model (which a friend ran OK) but I get the
following error:
Error in nls(y ~ R * (1 - (x/K)^2), data = nls.dat, start = list(R = 0.3, :
object 'R_nls_iter' not found
Does anyone know what the
On 02-04-2012, at 21:20, Jeff Breiwick wrote:
Thanks for that. Sorry, I did forget to give some basics:
You should also reply to the list so that other can follow the thread.
I am also sending this the list.
Running R-1.15.0 (x64) on Windows 7.
I assume you mean R2.15.0
The data I
Thanks to Berend for his help with this. The problems seems to have been due
to an environment that wasn't clean. I also gave x y that were
untransformed. But I am able to get results now.
Jeff
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R-help@r-project.org mailing list
Hello there,
I am using NLS for fitting a complex model to some data to estimate a couple
of the missing parameters. The model is -
y ~ (C+((log(1-r))*exp(-A*d)*(-1+r+exp(d*(A-B)))/(r*(-A*d+d*B+log(1-r)
where A, B and C are unknown.
In order to test the model, I generate data by setting
Diviya Smith wrote on 09/20/2011 01:03:22 PM:
Hello there,
I am using NLS for fitting a complex model to some data to estimate a
couple
of the missing parameters. The model is -
y ~
(C+((log(1-r))*exp(-A*d)*(-1+r+exp(d*(A-B)))/(r*(-A*d+d*B+log(1-r)
where A, B and C are unknown.
I dont think *r* is related to the problem. I am not trying to estimate *r* and
so basically I am giving the model the correct value of *r* and so log(1-r)
should not go to infinity.
For test data, I generate data from the same model and add noise (using *r
norm*), with the following parameters -
Diviya Smith diviya.smith at gmail.com writes:
I dont think *r* is related to the problem. I am not trying to
estimate *r* and
so basically I am giving the model the correct value of *r* and so log(1-r)
should not go to infinity.
For test data, I generate data from the same model and
Also I have this problem that many times the method converges to a local
maximum...if I run it a few times, I often get the expected answer.
Is there any way to fix this problem by changing the convergence conditions?
I have tried changing the nls.control {stats} but hasn't helped much. Any
I've been trying to run some analysis using the nls function in R but keep
coming up with an error message which I don't understand how to fix. The
message follows here:
Error in nls(formula = f.p, data = n.data, start = list(S = 1, a = -0.1, :
singular gradient
In addition: Warning
I am trying to perform an nls for a valid negative exponential function:
zz=nls(y~constant+a.est*2.7183^(b.est*x),start=list(constant=4.0,a.est=-4,b.est
= -.005),trace=T)
and am getting a number of different error messages, the most problematic
of which is Error in nls(ring.area ~ constant +
On 09/07/2010 1:51 PM, Jim Bouldin wrote:
I am trying to perform an nls for a valid negative exponential function:
zz=nls(y~constant+a.est*2.7183^(b.est*x),start=list(constant=4.0,a.est=-4,b.est
= -.005),trace=T)
and am getting a number of different error messages, the most problematic
of
1. The expression you gave us is clearly not the one that produced the
error: it involved ring.area and ba.beg.
2. You don't tell us what x and y are, so we can't reproduce anything.
Sorry, I guess that was unclear. I changed the response and independent
variable names to y and x
On 09/07/2010 2:36 PM, Jim Bouldin wrote:
1. The expression you gave us is clearly not the one that produced the
error: it involved ring.area and ba.beg.
2. You don't tell us what x and y are, so we can't reproduce anything.
Sorry, I guess that was unclear. I changed the response and
On 2010-07-09 13:29, Duncan Murdoch wrote:
On 09/07/2010 2:36 PM, Jim Bouldin wrote:
1. The expression you gave us is clearly not the one that produced
the error: it involved ring.area and ba.beg.
2. You don't tell us what x and y are, so we can't reproduce
anything.
Sorry, I guess that
Jim Bouldin wrote:
When I try to run the following non-linear regression with variables
index1 and prl3:
beta = 4
nls(index1~beta*(1/prl3),start = list(beta = 4))
I get this error message:
Error in nls(index1 ~ beta * (1/prl3), start = list(beta = 4)) :
REAL() can only be applied to a
When I try to run the following non-linear regression with variables
index1 and prl3:
beta = 4
nls(index1~beta*(1/prl3),start = list(beta = 4))
I get this error message:
Error in nls(index1 ~ beta * (1/prl3), start = list(beta = 4)) :
REAL() can only be applied to a 'numeric', not a
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