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I´m following Pinheiro & Bates 2000 pp.345. I want to fit a nls model, and modified a bitt the logistic model. I want to create a self-start function, but an error shows. When I run "logist3P" the error "parameter ‘scal’ does not occur in the model formula" shows. I think that the problem is because I put a formula for the "scal" parameter. How can I put the formula for "scal" and aboid the error?

logistin3P <- function(mCall, LHS, data)
{
  xy <- sortedXyData(mCall[["x"]], LHS, data)
  if(nrow(xy)<3) {stop("Too few distinct input values to fit a logistic")}
  Asym <- max(abs(xy[,"y"]))
  if(Asym !=max(xy[,"y"])) Asym <- -Asym #negative asymptote
  xmid <- NLSstClosestX(xy, 0.5 * Asym)
  scal <- (((log(Asym)+log(Asym*0.75))/ log(Asym*0.75))/((xmid*1.5)-xmid))         
  value <- c(Asym, xmid, scal)
  names(value) <- mCall[c("Asym","xmid","scal")]
  value
}

logist3P <- selfStart(~Asym/(1+exp(- scal(x-xmid))), initial = logistin3P, parameters = c("Asym","xmid","scal"))

1 Answers1

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I believe you're missing a * after scal in the model argument:

logist3P <- selfStart(~Asym/(1+exp(- scal*(x-xmid))), initial = logistin3P, parameters = c("Asym","xmid","scal"))
bograt
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