{"action":"reopened","issue":{"url":"https://api.github.com/repos/biocore/qiime/issues/1865","labels_url":"https://api.github.com/repos/biocore/qiime/issues/1865/labels{/name}","comments_url":"https://api.github.com/repos/biocore/qiime/issues/1865/comments","events_url":"https://api.github.com/repos/biocore/qiime/issues/1865/events","html_url":"https://github.com/biocore/qiime/issues/1865","id":54394628,"number":1865,"title":"make_rarefaction_plots average plots' behavior","user":{"login":"adamrp","id":2574407,"avatar_url":"https://avatars.githubusercontent.com/u/2574407?v=3","gravatar_id":"","url":"https://api.github.com/users/adamrp","html_url":"https://github.com/adamrp","followers_url":"https://api.github.com/users/adamrp/followers","following_url":"https://api.github.com/users/adamrp/following{/other_user}","gists_url":"https://api.github.com/users/adamrp/gists{/gist_id}","starred_url":"https://api.github.com/users/adamrp/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/adamrp/subscriptions","organizations_url":"https://api.github.com/users/adamrp/orgs","repos_url":"https://api.github.com/users/adamrp/repos","events_url":"https://api.github.com/users/adamrp/events{/privacy}","received_events_url":"https://api.github.com/users/adamrp/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/biocore/qiime/labels/enhancement","name":"enhancement","color":"84b6eb"},{"url":"https://api.github.com/repos/biocore/qiime/labels/question","name":"question","color":"cc317c"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2015-01-14T23:53:39Z","updated_at":"2015-01-20T18:45:09Z","closed_at":null,"body":"Currently, for average plots, if *any* sample in the category being averaged does not have enough sequences, then the point is not generated (and the curve ends early).\r\n\r\nWhat I'd really like to see is an option to override this behavior. In other words, if a sample in a category does not have the minimum number of sequences, then that sample is dropped and the average is calculated using the remaining samples in the category (and in the data table, the `N` is reported). Another option might control the minimum number of samples that should be used to generate a data point, and default to `1`. Is there a reason that either of these suggestions is a bad idea (scientifically or statistically), or is it just something that no one has implemented yet?"}}