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% $Id: SSasympOrig.Rd,v 1.1 2003/12/11 07:16:06 ripley Exp $\name{SSasympOrig}\title{Asymptotic Regression Model through the Origin}\usage{SSasympOrig(input, Asym, lrc)}\alias{SSasympOrig}\arguments{\item{input}{a numeric vector of values at which to evaluate the model.}\item{Asym}{a numeric parameter representing the horizontal asymptote.}\item{lrc}{a numeric parameter representing the natural logarithm ofthe rate constant.}}\description{This \code{selfStart} model evaluates the asymptotic regressionfunction through the origin and its gradient. It has an\code{initial} attribute that will evaluate initial estimates of theparameters \code{Asym} and \code{lrc} for a given set of data.}\value{a numeric vector of the same length as \code{input}. It is the value ofthe expression \code{Asym*(1 - exp(-exp(lrc)*input))}. If all ofthe arguments \code{Asym} and \code{lrc} arenames of objects, the gradient matrix with respect to these names isattached as an attribute named \code{gradient}.}\author{Jose Pinheiro and Douglas Bates}\seealso{\code{\link{nls}}, \code{\link{selfStart}}}\examples{Lob.329 <- Loblolly[ Loblolly$Seed == "329", ]SSasympOrig( Lob.329$age, 100, -3.2 ) # response onlyAsym <- 100; lrc <- -3.2SSasympOrig( Lob.329$age, Asym, lrc ) # response and gradientgetInitial(height ~ SSasympOrig(age, Asym, lrc), data = Lob.329)## Initial values are in fact the converged valuesfm1 <- nls(height ~ SSasympOrig( age, Asym, lrc), data = Lob.329)summary(fm1)\dontshow{xx <- seq(0, 5, len = 101)yy <- 5 * (1- exp(-xx/(2*log(2))))par(mar = c(0, 0, 3.5, 0))plot(xx, yy, type = "l", axes = FALSE, ylim = c(0,6), xlim = c(-1, 5),xlab = "", ylab = "", lwd = 2,main = "Parameters in the SSasympOrig model")usr <- par("usr")arrows(usr[1], 0, usr[2], 0, length = 0.1, angle = 25)arrows(0, usr[3], 0, usr[4], length = 0.1, angle = 25)text(usr[2] - 0.2, 0.1, "x", adj = c(1, 0))text(-0.1, usr[4], "y", adj = c(1, 1))abline(h = 5, lty = 2, lwd = 0)arrows(-0.8, 2.1, -0.8, 0, length = 0.1, angle = 25)arrows(-0.8, 2.9, -0.8, 5, length = 0.1, angle = 25)text(-0.8, 2.5, expression(phi[1]), adj = c(0.5, 0.5))segments(1, 2.525, 1, 3.5, lty = 2, lwd = 0.75)arrows(0.2, 3.0, 0, 3.0, length = 0.08, angle = 25)arrows(0.8, 3.0, 1, 3.0, length = 0.08, angle = 25)text(0.5, 3.0, expression(t[0.5]), adj = c(0.5, 0.5))}}\keyword{models}