I would like to use the boot() and boot.ci() functions from library("boot") for very large data sets(~50 000) with type="bca".
If R(number of bootstraps) is too small, it will give the following error:
Error in bca.ci(boot.out, conf, index[1L], L = L, t = t.o, t0 = t0.o, :
estimated adjustment 'a' is NA
I wouldn't want it to be too large either.
What is a good number for R? I know it would depend on the size of the data.