[R] An error in fitting a non linear regression

[Petr PIKAL]

Hi

r-help-bounces at r-project.org napsal dne 24.02.2009 11:31:22:

> 
> Hi,
> 
> Thank you for the reply and suggestions.
> 
> I have two questions?
> 1) If I want to use log, it seems that I have to take log from both 
sides of
> the model which will lead to lm(log(q)~log(-depth)). What is 
tehdifference
> between this syntax and lm(log(q) ~ I(-depth))?


If you have 

y = a*exp(-b*x) then log of this equation is

log(y) = log(a) - b * x

at least I was told that by my teacher back at school some decades ago 
that log(exp(x)) = x.

You can prove it by

log(exp(whatever))

interactively in R

Regards
Petr

> 
> 2) How can I calculate the R-squared of a fitted non linear model?
> 
> Regards
> Saeed
> 
> 
> Christian Ritz-3 wrote:
> > 
> > Hi Saeed,
> > 
> > one approach is to try out several initial value combinations for a 
and b.
> > 
> > It often helps to find initial values of the same order of magnitude 
and
> > of the same sign
> > as the final estimates.
> > 
> > To get such initial values, you could linearize the model:
> > 
> > lm(log(q) ~ I(-depth))
> > 
> > 
> > and supply the estimated coefficients from the linear regression as
> > starting values:
> > 
> > nreg <- nls(q ~ a*exp(-b*depth), start = list(a = 0.76168, b = 
-0.08484))
> > summary(nreg)
> > 
> > 
> > Christian
> > 
> > ______________________________________________
> > R-help at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> > 
> > 
> 
> -- 
> View this message in context: 
http://www.nabble.com/An-error-in-fitting-a-non-
> linear-regression-tp22118160p22179525.html
> Sent from the R help mailing list archive at Nabble.com.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide 
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.