Hi

Try

x <- -(1:100)/10
set.seed(1)
y <- 100 + 10 * exp(x / 2) + rnorm(x)/10

short cut to starting values
lm(log(y) ~-log(x+10))
Call:
lm(formula = log(y) ~ -log(x + 10))

Coefficients:
(Intercept)
      4.624

nlmod <- nls(y ~  A + B * exp(C * x), start=list(A=90, B=5,C=0.1))

Formula: y ~ A + B * exp(C * x)

Parameters:
    Estimate Std. Error t value Pr(>|t|)
A 100.009079   0.017797  5619.4   <2e-16
B   9.999993   0.042718   234.1   <2e-16
C   0.499529   0.004495   111.1   <2e-16

Residual standard error: 0.09073 on 97 degrees of freedom

Number of iterations to convergence: 5
Achieved convergence tolerance: 0.00000002475

I will leave you to plot the results as a check

Duncan

Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2351
Email: home: mac...@northnet.com.au

At 09:16 26/04/2013, you wrote:
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Greets,

I'm trying to learn to use nls and was running the example code for an exponential model:

> x <- -(1:100)/10
> y <- 100 + 10 * exp(x / 2) + rnorm(x)/10
> nlmod <- nls(y ~  Const + A * exp(B * x))
Error in B * x : non-numeric argument to binary operator
In addition: Warning message:
In nls(y ~ Const + A * exp(B * x)) :
  No starting values specified for some parameters.
Initializing 'Const' to '1.'.
Consider specifying 'start' or using a selfStart model

Presumably, the code should work if it is part of an example on the help page. In perusing various help forums for similar problems, it also appears that others believe this syntax should work in the model formula.

Any ideas?

Perhaps also, a pointer to a comprehensive and correct document that details model formulae syntax if someone has one?

Thanks & Best Regards,
Steven



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