From: Quin Wills <quin.wills_at_googlemail.com>

Date: Tue 14 Feb 2006 - 14:18:00 EST

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 Received on Tue Feb 14 14:22:14 2006

Date: Tue 14 Feb 2006 - 14:18:00 EST

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)?

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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 Received on Tue Feb 14 14:22:14 2006

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