{"action":"closed","issue":{"url":"https://api.github.com/repos/forestgeo/fgeo.tool/issues/17","repository_url":"https://api.github.com/repos/forestgeo/fgeo.tool","labels_url":"https://api.github.com/repos/forestgeo/fgeo.tool/issues/17/labels{/name}","comments_url":"https://api.github.com/repos/forestgeo/fgeo.tool/issues/17/comments","events_url":"https://api.github.com/repos/forestgeo/fgeo.tool/issues/17/events","html_url":"https://github.com/forestgeo/fgeo.tool/issues/17","id":292220573,"node_id":"MDU6SXNzdWUyOTIyMjA1NzM=","number":17,"title":"fgeo classes and methods to classify tables","user":{"login":"maurolepore","id":5856545,"node_id":"MDQ6VXNlcjU4NTY1NDU=","avatar_url":"https://avatars0.githubusercontent.com/u/5856545?v=4","gravatar_id":"","url":"https://api.github.com/users/maurolepore","html_url":"https://github.com/maurolepore","followers_url":"https://api.github.com/users/maurolepore/followers","following_url":"https://api.github.com/users/maurolepore/following{/other_user}","gists_url":"https://api.github.com/users/maurolepore/gists{/gist_id}","starred_url":"https://api.github.com/users/maurolepore/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/maurolepore/subscriptions","organizations_url":"https://api.github.com/users/maurolepore/orgs","repos_url":"https://api.github.com/users/maurolepore/repos","events_url":"https://api.github.com/users/maurolepore/events{/privacy}","received_events_url":"https://api.github.com/users/maurolepore/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-01-28T17:08:05Z","updated_at":"2018-08-10T11:33:07Z","closed_at":"2018-08-10T11:33:07Z","author_association":"MEMBER","body":"The job is to homogenize the different datasets so that they can be used with the greatest number of functions.\r\n\r\nUse data from Yosemite for example. Suzanne said it's up to date\r\n\r\n* Identify each table by its names. Check the difference between names to understand what identifies each table uniquely\r\n\r\n* Check what names intersect\r\n\r\n* What variables are the same, regardless of their names. See definition in CFTS pakge\r\n\r\n* What variables are not the same\r\n\r\n* What variables matter -- the crucial names of all functions I have developed (search for `crucial_names()`)\r\n\r\n\r\n...\r\nFgeo_clasify x\r\n  If (names x match vft) as.vft\r\n  If ... as.stem\r\n\r\nvft <- f (x, ...) structure(x, class = c(vft, tibble?, data.frame))\r\n\r\nas.fgeo\r\nas_fgeo?\r\n\r\nhomo_nms.vft\r\nhomo_nms.stem\r\n..."}}
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