NLSstAsymptotic

From stats v3.2.2 by R-core R-core@R-project.org

Fit the Asymptotic Regression Model

Fits the asymptotic regression model, in the form b0 + b1*(1-exp(-exp(lrc) * x) to the xy data. This can be used as a building block in determining starting estimates for more complicated models.

Keywords: manip

Usage

NLSstAsymptotic(xy)

Arguments

xy: a sortedXyData object

Value

A numeric value of length 3 with components labelled b0, b1, and lrc. b0 is the estimated intercept on the y-axis, b1 is the estimated difference between the asymptote and the y-intercept, and lrc is the estimated logarithm of the rate constant.

Examples

library(stats)

Lob.329 <- Loblolly[ Loblolly$Seed == "329", ]
print(NLSstAsymptotic(sortedXyData(expression(age),
                                   expression(height),
                                   Lob.329)), digits = 3)

Documentation reproduced from package stats, version 3.2.2, License: Part of R 3.2.2

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