[R] ecdf() to nls() - how to transform data?

[Jochen1980]

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 ) ) 

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