{"action":"closed","issue":{"url":"https://api.github.com/repos/nicholasjhorton/SDM4inR/issues/9","repository_url":"https://api.github.com/repos/nicholasjhorton/SDM4inR","labels_url":"https://api.github.com/repos/nicholasjhorton/SDM4inR/issues/9/labels{/name}","comments_url":"https://api.github.com/repos/nicholasjhorton/SDM4inR/issues/9/comments","events_url":"https://api.github.com/repos/nicholasjhorton/SDM4inR/issues/9/events","html_url":"https://github.com/nicholasjhorton/SDM4inR/issues/9","id":145484451,"number":9,"title":"issues with Chapter 25","user":{"login":"nicholasjhorton","id":530542,"avatar_url":"https://avatars.githubusercontent.com/u/530542?v=3","gravatar_id":"","url":"https://api.github.com/users/nicholasjhorton","html_url":"https://github.com/nicholasjhorton","followers_url":"https://api.github.com/users/nicholasjhorton/followers","following_url":"https://api.github.com/users/nicholasjhorton/following{/other_user}","gists_url":"https://api.github.com/users/nicholasjhorton/gists{/gist_id}","starred_url":"https://api.github.com/users/nicholasjhorton/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/nicholasjhorton/subscriptions","organizations_url":"https://api.github.com/users/nicholasjhorton/orgs","repos_url":"https://api.github.com/users/nicholasjhorton/repos","events_url":"https://api.github.com/users/nicholasjhorton/events{/privacy}","received_events_url":"https://api.github.com/users/nicholasjhorton/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2016-04-03T11:41:57Z","updated_at":"2016-04-03T11:47:15Z","closed_at":"2016-04-03T11:47:15Z","body":"\r\nOn Mar 28, 2016, at 4:05 PM, Susan Wang <swang@amherst.edu> wrote:\r\n\r\nNick,\r\n\r\nThanks for making these. I’m just starting to look at them, so I apologize for not providing feedback in the past. Some thoughts:\r\n\r\n\t• I hesitate to superimpose the smoothing line because I think it is a potential source of confusion, unless you’ve already covered it before.\r\n\t• Page 4, qqnorm. I’ve been using the new xqqmath() function to get a superimposed diagonal line. \r\n\t• I’d probably avoid using the same variable name ‘Diabetes’ to refer to both the data frame and the variable inside of it. \r\n\t• For logistic regression, you can superimpose the logistic curve by doing:\r\nm2 <- glm(Diabetes ~ BMI, data=Diabetes, family=binomial)\r\nf2 <- makeFun(m2)\r\nxyplot(Diabetes ~ BMI, data=Diabetes)\r\nplotFun(f2, add=T)\r\n\r\nThis looks really promising and I’m already thinking about ways of incorporating this next semester. Thank you for doing this!\r\n\r\n-Susan\r\n"}}