for(i in 1:20){
try({
lo <- nls(y~y0+a/(1+(x/x0)^b),start=list(y0=0.1,a=a0,x0=x00,b=-8.1))
beta[i] <- lo$m$getPars()[4]
})
}Now beta[i] will only be assigned if nls runs without error.
Hadley
r.ghezzo wrote:
Hello, I have a program with this section:
..
for(i in 1:20){
lo <- nls(y~y0+a/(1+(x/x0)^b),start=list(y0=0.1,a=a0,x0=x00,b=-8.1))
beta[i] <- lo$m$getPars()[4]
}
..
If the fit works this is OK but if the fit fails, the whole program fails so:
..
for(i in 1:20){
try(lo <- nls(y~y0+a/(1+(x/x0)^b),start=list(y0=0.1,a=a0,x0=x00,b=-8.1)))
beta[i] <- lo$m$getPars()[4]
}
..
but the try catches the error in nls and beta[i] gets assigned beta[i-1] from the previous loop. This is bad but no so bad as it can be checked,
Now in some cases the error is in i=1 and the program stops!!
is there a way to set lo$m$getPars() to zero before the call?
I tried to understand the use of tryCatch() but frankly it is above me. Sorry
Thanks for any help
Heberto Ghezzo
Meakins-Christie Labs
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