I am running the nnet package as
> neural.soft<-nnet(custcat~region+ed+marital+tenure+age+address+income,size=3,softmax=TRUE) > This returns the error message : formal argument "softmax" matched by multiple actual arguments Here the dependent variable "custcat" is a factor with 4-levels. This error does not crop up for any other arguments of nnet(), including entropy=TRUE, linout=TRUE and censored=TRUE This post : http://userprimary.net/posts/2010/03/16/reentrant-bugs-without-concurrency/ http://userprimary.net/posts/2010/03/16/reentrant-bugs-without-concurrency/ identifies the error message formal argument "< >" matched by multiple actual arguments as a bug arising out of the R-internals function matchArgs Is there a work-around to this problem? I am using R version 2.12.2 (2011-02-25) Regards, Yashwanth -- View this message in context: http://r.789695.n4.nabble.com/Error-formal-argument-softmax-matched-by-multiple-actual-arguments-tp4260949p4260949.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]] ______________________________________________ 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.
