Hi, I am using ecdf-function and want to use the ecdf()-data-points for nls() as data-parameter. nls() expects 'list' or 'environment' as a data-type, knots(ecdf(mydata)) gives me 'numeric'. What should I do now?
Thanks in advance - Jochen Here is the code: ################################################# # --- Fit --- # Gumbel-Dist-Function, cumulative, http://en.wikipedia.org/wiki/Gumbel_distribution # ( - ( x - mue ) / beta ) # ( -e )^ # F(x) = e^ # formula for fitting-function # formula: y ~ I( exp(1) ^ ( - exp(1) ) ^ ( - ( x - mue ) / beta ) ) # data: ecdf( hgd$V1 ) # start: list( mue=0.1, beta=0.025 ) gpfunction <- ecdf( hgd$V1 ) gplistrange <- seq( 0.0, 1, by=0.001 ) gplist <- gpfunction( gplistrange ) print( gplist ) print( class( gplist ) ) print("---") #res <- nls( y ~ I( exp(1) ^ ( - exp(1) ) ^ ( - ( x - mue ) / beta ) ), df, list( mue=0.1, beta=0.025 ), trace=TRUE ) #print( summary( res ) ) -- View this message in context: http://r.789695.n4.nabble.com/ecdf-to-nls-how-to-transform-data-tp3671754p3671754.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.
