Hello all.
I'm doing a large scale simulation study and every so often I get an error
that stops the simulation. I would like to ignore the errors and identify
the particular iterations where they occurred. I have tried:
options(error = expression(NULL))
which I thought would ignore the error, but the simulation is still stopped
when an error occurs. I do not think try() is a good idea because of the
significant computational time (that I think) it would add.
Specifically I am using factanal() from the mva library and the error is:
Error in factanal(Data, factors = 1, rotation = "none") :
Unable to optimize from these starting value(s)
Although I increasing the number of starting values attempted would
(presumably) help reduce the number or errors, I'm looking for a way that
they are ignored and these (likely) untrustworthy results identified.
Thanks for any thoughts,
Ken
Hello all. I'm doing a simulation study and every so often I get an error that stops the simulation. I would like to ignore the errors *and* identify the particular iterations where they occurred. I have tried: options(error = expression(NULL)) which I thought would ignore the error, but the simulation is still stopped when an error occurs. I do not think try() is a good idea because of the significant computational time (that I think) it would add. Specifically I am using factanal() from the mva library and the error is: Error in factanal(Data, factors = 1, rotation = "none") : Unable to optimize from these starting value(s) -I am using R 1.7.1 on a Windows XP machine. Although increasing the number of starting values attempted would reduces the number or errors, I'm looking for a way that they are ignored and these (likely) untrustworthy results identified. Thanks for any thoughts, Ken