Dear All,
I was trying to call a self-defined function that performs nonlinear
regression and gets the corresponding prediction upper limit using nls2
package. However, weird thing happened. When I called the function in the
main program, an error message "fitted(nlsmodel): object 'nlsmodel' not
found" came up. But when I directly ran the codes inside the function, no
error came up and the codes worked well. I have never encountered this
problem with all the other self-defined functions, only this one, so I doubt
it is caused by something in the nls2 package.
I attached my main program and the function as follows. Thank you all in
advance.
# Main program
rm(list=ls())
x <- c(0,1,3,4,5,2,10,4,6,8,7)
y <- seq(0,10,1)
ftestnls(x,y) # Call the function
# function 'ftestnls(v1,v2)'
# v1 <- x
# v2 <- y
ftestnls <- function(v1,v2){
datalist <- list(v1=v1,v2=v2)
startvalues <- list(a0=v1[1],a1=0,a2=0)
# Perform nonlinear regression
require(nls2)
nlsmodel <- nls(v1~a0 + a1*v2 + a2
*sin(2*pi*v2/365.25),data=datalist,start=startvalues, trace=TRUE)
# Fitted data and prediction interval
fitted <-
predict(as.lm(nlsmodel),se.fit=TRUE,interval="confidence",level=0.95)
uplim <- fitted$fit[,3]
return(uplim)
}
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