{"action":"created","issue":{"url":"https://api.github.com/repos/NMGRL/pychron/issues/1499","repository_url":"https://api.github.com/repos/NMGRL/pychron","labels_url":"https://api.github.com/repos/NMGRL/pychron/issues/1499/labels{/name}","comments_url":"https://api.github.com/repos/NMGRL/pychron/issues/1499/comments","events_url":"https://api.github.com/repos/NMGRL/pychron/issues/1499/events","html_url":"https://github.com/NMGRL/pychron/issues/1499","id":326599157,"number":1499,"title":"generalized means for K/Ca, K/Cl, etc.","user":{"login":"wcmcintosh","id":6126423,"avatar_url":"https://avatars3.githubusercontent.com/u/6126423?v=4","gravatar_id":"","url":"https://api.github.com/users/wcmcintosh","html_url":"https://github.com/wcmcintosh","followers_url":"https://api.github.com/users/wcmcintosh/followers","following_url":"https://api.github.com/users/wcmcintosh/following{/other_user}","gists_url":"https://api.github.com/users/wcmcintosh/gists{/gist_id}","starred_url":"https://api.github.com/users/wcmcintosh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wcmcintosh/subscriptions","organizations_url":"https://api.github.com/users/wcmcintosh/orgs","repos_url":"https://api.github.com/users/wcmcintosh/repos","events_url":"https://api.github.com/users/wcmcintosh/events{/privacy}","received_events_url":"https://api.github.com/users/wcmcintosh/received_events","type":"User","site_admin":false},"labels":[{"id":66108500,"url":"https://api.github.com/repos/NMGRL/pychron/labels/Enhancement","name":"Enhancement","color":"84b6eb","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2018-05-25T17:02:28Z","updated_at":"2018-05-25T20:14:36Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"Your idea of having a generalized approach to mean value for K/Ca, K/Cl, etc. (each with associated mean and error methods) seems very good, essentially putting K/Ca/ K/Cl etc (and age??) on equal  footing.  \r\n\r\nOne potential spinoff is being able to calculate and plot means for values like %rad, moles39, etc, facilitating plotting subgroup mean values on stacked ideograms, or using group mean values for comparisons among samples.\r\n\r\nFor %rad  and moles 39, integrated means might be the method to select, but we never had this capability before."},"comment":{"url":"https://api.github.com/repos/NMGRL/pychron/issues/comments/392167905","html_url":"https://github.com/NMGRL/pychron/issues/1499#issuecomment-392167905","issue_url":"https://api.github.com/repos/NMGRL/pychron/issues/1499","id":392167905,"user":{"login":"jirhiker","id":2035568,"avatar_url":"https://avatars0.githubusercontent.com/u/2035568?v=4","gravatar_id":"","url":"https://api.github.com/users/jirhiker","html_url":"https://github.com/jirhiker","followers_url":"https://api.github.com/users/jirhiker/followers","following_url":"https://api.github.com/users/jirhiker/following{/other_user}","gists_url":"https://api.github.com/users/jirhiker/gists{/gist_id}","starred_url":"https://api.github.com/users/jirhiker/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jirhiker/subscriptions","organizations_url":"https://api.github.com/users/jirhiker/orgs","repos_url":"https://api.github.com/users/jirhiker/repos","events_url":"https://api.github.com/users/jirhiker/events{/privacy}","received_events_url":"https://api.github.com/users/jirhiker/received_events","type":"User","site_admin":false},"created_at":"2018-05-25T20:14:36Z","updated_at":"2018-05-25T20:14:36Z","author_association":"MEMBER","body":"\"omitting points as required where no valid data exists\" This is the most contentious aspect. I think its bad practice to do this automatically because its very difficult to do so that the user is not confused\r\n\r\n"}}
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