Hello all- I got some help on this. While it did not fix the problem with nls, one can get around the problem by creating a data frame with the NAs excluded. As follows:
goodidx<-which(! is.na(warming$T10cm)) warming2<-warming[goodidx,] warm.10<-nls(umoles60~alpha*exp(beta*T10cm),start = start,data=warming2) Note there is also a package on on CRAN(nlmrt) that tries to be more aggressive in finding a solution to nls type problems. The function wrapnls() in nlmrt runs a Marquardt code then nls (same calling sequence, but will not yet handle weights, nor every possible expression, though it does most). Elizabeth -- View this message in context: http://r.789695.n4.nabble.com/nls-NAs-tp4644689p4646182.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
