Hello,

I have a question regarding the boot function.  I am non-parametrically
bootstrapping a function that I've written to estimate survival for
animals following some closed form estimators (i.e. no optimization
needed).  I'm using the boot function for this and it performs well when
using inputs with say less than 30,000 animals (each record = one animal
with 4 columns of info).  With larger datasets (~50,000) animals, and
1000 bootstraps, the program errors out based on a lack of memory.  The
problem seems to be that the boot function creates the entire 1000
bootstrap databases at once; is the an option for the boot function
where one can go through one iteration at a time (and save the output
from that iteration which contains MUCH less information than the
input)?  In these sorts of studies, samples sizes of 50,000 animals are
often required.

Thanks for any help,

Jack 


        [[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.

Reply via email to