Automated flagging of common spatial and temporal errors in biological and palaeontological collection data, for the use in conservation, ecology and palaeontology.
when all species in the dataset do not pass the test of minimum occurrences
splist <- splist[test >= min_occs]
it returns a list without elements. The function is able to warn you and continue, however, if the method is quantile and there's a sampling threshold set (sampling_thresh > 0 ) then it troughs an error.
I have resolved the issue by adding
if (sampling_thresh > 0 & length(flags)>0) {}
when all species in the dataset do not pass the test of minimum occurrences splist <- splist[test >= min_occs] it returns a list without elements. The function is able to warn you and continue, however, if the method is quantile and there's a sampling threshold set (sampling_thresh > 0 ) then it troughs an error.
I have resolved the issue by adding if (sampling_thresh > 0 & length(flags)>0) {}
Just a suggestion Cheers, Pep