How to rank all samples in order of anomalous level when using ahull

[BuleSky233]

I want to evaluate the result of ahull in terms of AUC. But it needs to rank all samples in order of anomalous level . How can I achieve it? I try setting the value of parameter n to be the number of samples and ordered=TRUE in function 'anomaly' but an error occured: 'Error in findnextoutlier(scores, nextout$alpha, tmp.idx[1:(i - 1)]) : Too hard. Please reduce the number of outliers requeste'. (There are no errors when I set 'method=hdr' but I want to use ahull). Does anybody help? Thank you very much!

[robjhyndman]

ahull is not designed to do this. Eventually, as the outliers are removed, the alpha size must be reduced so much that the resulting hulls cause numerical issues.

[BuleSky233]

Thank you！