Try this: coef(A)
On 2/13/06, Quin Wills <[EMAIL PROTECTED]> wrote: > The question is general for all functions, but here is a specific example - > > > > # For the logistic regression of the following correlated variables: > > C <- c(457, 1371, 4113, 12339, 37017, 111051, 333153, 999459) > > E <- c(0.003858377, 0.014334578, 0.014092836, 0.737950754, 0.996371828, > 0.997482379, 1.005569257, 0.994382856) > > > > # The nls function: > > A = nls(E~(Em*C^p)/(C50^p + C^p), start = list(Em=0.8, p=3, C50=1e3)) > > > > # Returns the following parameter estimates for Em, p and C50: > > Nonlinear regression model > > model: E ~ (Em * C^p)/(C50^p + C^p) > > data: parent.frame() > > Em p C50 > > 0.9989113 4.7957189 9934.6481397 > > residual sum-of-squares: 0.0002856567 > > > > How do I access these parameter values from this output/function so that it > would go into a vector c(Em,p,C50)? > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
