Dear all
I have got some problems with a least-squares regression using the function nls.
I want to estimate h, k and X of the following formula by using nls :
exp(2*200*(q^2-4*h/k-0.25+(2/k-0.5+4*h^2/k^2)*log(abs((k*q^2+2*h*q-1)/(0.25*k-h-1)/((-k*q^2-2*h*q+1)*X)
y as defined by c(0.009747
On 8/8/07, Michael Petram [EMAIL PROTECTED] wrote:
Dear all
I have got some problems with a least-squares regression using the function
nls.
I want to estimate h, k and X of the following formula by using nls :
Hello,
I was trying to fit a generalized logistic curve and my code for testing
if the function nls is working is like this
###
#define the generalized logistic curve function
glogit=function(a, b, c, m, t, x)
{
tmp = 1/(1 + t * exp(-b * (x - m)))^(1/t)
model.func = a + tmp * c
#define
Sorry that I specified the x as
x=c(0, 0.4, 0.7, 1, 1.4, 1.6, 1.8, 2:10)
The error message is the same.
Thanks.
Hanna
- Original Message -
From: Yimeng Lu
To: r-help@stat.math.ethz.ch
Sent: Thursday, July 14, 2005 11:19 PM
Subject: problems with nls function
Hello,
The start list should only contain parameters, not x. Also
your function appears to have multiple errors including
reference to temp (presumably intended as tmp?)
and b(x-m) which presumably should be b*(x-m).
On 7/14/05, Yimeng Lu [EMAIL PROTECTED] wrote:
Sorry that I specified the x as
