I don't see why this is relevant to R-devel rather than R-help.
Your script must be very old: the NEWS for R 1.9.0 said
Packages ctest, eda, modreg, mva, nls, stepfun and ts have been
merged into stats, and lqs has been returned to MASS.
That's 5 years ago now.
Function nls() still exists, and is in the 'stats' package which is
loaded in a default R session.
On Wed, 4 Mar 2009, per243 wrote:
I need to make nonlinear regression with the posterior script, but how is the
problem? I have error in library (nls), package 'nls' has been merged into
'stats'.
It was _not_ an error:
library(nls)
Warning message:
package 'nls' has been merged into 'stats'
so if your script did not run something else was the error. (We don't
have the dataset, so cannot reproduce what you did.)
I need help?
What other forms I have to make nonlinear regression? and how I find to
calculate statistics y residuals, scatterplot.
Please read 'An Introduction to R' and then a basic book on
statistics with R.
thanks
SCRIPT
ros<-read.table("Dataset.csv",header=T,sep=",")
ros
attach(ros)
# preliminaries
options(width=44)
options(digits=3)
## Nonlinear Regression
par(mfrow=c(1,2))
attach(ros)
plot(U1.7km, R, main="(a)")
library(nls)
mod1<-nls(R ~
beta1*(U1.7km^beta2)+(Hm^beta3)),start=list(beta1=2.031,beta2=0.800,beta3=-0.255),
trace = TRUE)
summary(mod1)
coef(mod1)
coef(summary(mod1))
lines(R, fitted.values(mod1), lwd=2)
plot(R, residuals(mod1), type="b", main="(b)")
abline(h=0, lty=2)
--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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