{"action":"opened","issue":{"url":"https://api.github.com/repos/sjPlot/devel/issues/86","labels_url":"https://api.github.com/repos/sjPlot/devel/issues/86/labels{/name}","comments_url":"https://api.github.com/repos/sjPlot/devel/issues/86/comments","events_url":"https://api.github.com/repos/sjPlot/devel/issues/86/events","html_url":"https://github.com/sjPlot/devel/issues/86","id":125578410,"number":86,"title":"y axis goes from 0 to 1 for binomial glms","user":{"login":"rubenarslan","id":831109,"avatar_url":"https://avatars.githubusercontent.com/u/831109?v=3","gravatar_id":"","url":"https://api.github.com/users/rubenarslan","html_url":"https://github.com/rubenarslan","followers_url":"https://api.github.com/users/rubenarslan/followers","following_url":"https://api.github.com/users/rubenarslan/following{/other_user}","gists_url":"https://api.github.com/users/rubenarslan/gists{/gist_id}","starred_url":"https://api.github.com/users/rubenarslan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rubenarslan/subscriptions","organizations_url":"https://api.github.com/users/rubenarslan/orgs","repos_url":"https://api.github.com/users/rubenarslan/repos","events_url":"https://api.github.com/users/rubenarslan/events{/privacy}","received_events_url":"https://api.github.com/users/rubenarslan/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2016-01-08T09:54:36Z","updated_at":"2016-01-08T09:54:36Z","closed_at":null,"body":"Instead of shrinking to the range of the observed effects. That way you can't see small effects. I don't really see why this should be the (default) behaviour anyway, but maybe it could be optionally turned off.\r\n\r\nWorkaround is: `sjp.int(by_method, type = \"eff\", showCI = F, printPlot = F, plevel = 1)$plot.list[[1]] + ylim(0.5,0.6)`, but would require some work to first get actual range of effects from df.list."}}