Dear all, I have some count data and I would like to know how can I assess which are the items in my dataset that have a count significantly smaller or bigger than I would expect (each item with the same number of counts, i.e. from a uniform distribution). Example file: Item Count A0001 48 A0002 39 A0003 28 A0004 16 A0005 13 A0006 2 ... ... A9999 15 Best regards, Jo?o Fadista
Seemingly Similar Threads
- Dovecot METADATA plugin configuration
- still getting weird .{inbox} folder creations with latest -test7
- Saving Drafts with Roundcube marks old Mails in INBOX as unread.
- Bug#776094: dovecot-imapd: corrupts mailbox after trying to retrieve it (fwd)
- Bug#776094: dovecot-imapd: corrupts mailbox after trying to retrieve it (fwd)