{"action":"created","issue":{"url":"https://api.github.com/repos/LearningToTalk/L2TDatabase/issues/20","repository_url":"https://api.github.com/repos/LearningToTalk/L2TDatabase","labels_url":"https://api.github.com/repos/LearningToTalk/L2TDatabase/issues/20/labels{/name}","comments_url":"https://api.github.com/repos/LearningToTalk/L2TDatabase/issues/20/comments","events_url":"https://api.github.com/repos/LearningToTalk/L2TDatabase/issues/20/events","html_url":"https://github.com/LearningToTalk/L2TDatabase/issues/20","id":139328962,"number":20,"title":"import tp1 fruit stroop","user":{"login":"tjmahr","id":1890315,"avatar_url":"https://avatars.githubusercontent.com/u/1890315?v=3","gravatar_id":"","url":"https://api.github.com/users/tjmahr","html_url":"https://github.com/tjmahr","followers_url":"https://api.github.com/users/tjmahr/followers","following_url":"https://api.github.com/users/tjmahr/following{/other_user}","gists_url":"https://api.github.com/users/tjmahr/gists{/gist_id}","starred_url":"https://api.github.com/users/tjmahr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tjmahr/subscriptions","organizations_url":"https://api.github.com/users/tjmahr/orgs","repos_url":"https://api.github.com/users/tjmahr/repos","events_url":"https://api.github.com/users/tjmahr/events{/privacy}","received_events_url":"https://api.github.com/users/tjmahr/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2016-03-08T16:47:12Z","updated_at":"2016-05-16T14:03:30Z","closed_at":null,"body":"- [x] create table \r\n- [x] gather scores from info and dates from date-tracking from both sites.\r\n- [ ] only push scores that have dates\r\n- [ ] rerun script to sync information as new dates arrive\r\n- [ ] document table in database"},"comment":{"url":"https://api.github.com/repos/LearningToTalk/L2TDatabase/issues/comments/219432732","html_url":"https://github.com/LearningToTalk/L2TDatabase/issues/20#issuecomment-219432732","issue_url":"https://api.github.com/repos/LearningToTalk/L2TDatabase/issues/20","id":219432732,"user":{"login":"tjmahr","id":1890315,"avatar_url":"https://avatars.githubusercontent.com/u/1890315?v=3","gravatar_id":"","url":"https://api.github.com/users/tjmahr","html_url":"https://github.com/tjmahr","followers_url":"https://api.github.com/users/tjmahr/followers","following_url":"https://api.github.com/users/tjmahr/following{/other_user}","gists_url":"https://api.github.com/users/tjmahr/gists{/gist_id}","starred_url":"https://api.github.com/users/tjmahr/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tjmahr/subscriptions","organizations_url":"https://api.github.com/users/tjmahr/orgs","repos_url":"https://api.github.com/users/tjmahr/repos","events_url":"https://api.github.com/users/tjmahr/events{/privacy}","received_events_url":"https://api.github.com/users/tjmahr/received_events","type":"User","site_admin":false},"created_at":"2016-05-16T14:03:30Z","updated_at":"2016-05-16T14:03:30Z","body":"Per the protocol: There are three sets of three items (9 items total), each scored on 0, 1, 2, 3 point scale:\r\n\r\n> E2: Administer test items.\r\n> \r\n> 1. Shuffle embedded fruit test cards.  E2 places the three pictures of a smaller fruit embedded in a larger fruit on the table in front of the child and asks the child to point to each of the little fruits.  \r\n>   * “Point to the little orange.”\r\n>   * “Point to the little banana.” \r\n>   * “Point to the little apple”\r\n> 2. Repeat this sequence a total of three times, scoring as you go according to the scoring codes below.\r\n> 3. Scores are averaged across trials.\r\n> \r\n> Scoring Code\r\n>\r\n> 0 points: participant points to fruit combo that contains neither size of target fruit\r\n> 1 point: Participant points to the big fruit that was named.\r\n> 2 points: Participant points to the big fruit and then self-corrects.\r\n> 3 points: Participant points to the little fruit that was named. \r\n\r\nMultiply by 9 to get original performance.\r\n\r\nHow different rounding precisions influence the error of the reconstruction\r\n\r\n```r\r\nas.data.frame(data_frame(\r\n  Points = 0:27,\r\n  Round1 = round(Points / 9, 1),\r\n  Round1_Reconst = round(Points / 9, 1) * 9,\r\n  Round2 = round(Points / 9, 2),\r\n  Round2_Reconst = round(Points / 9, 2) * 9\r\n))\r\n```\r\n\r\n```\r\n   Points Round1 Round1_Reconst Round2 Round2_Reconst\r\n1       0    0.0            0.0   0.00           0.00\r\n2       1    0.1            0.9   0.11           0.99\r\n3       2    0.2            1.8   0.22           1.98\r\n4       3    0.3            2.7   0.33           2.97\r\n5       4    0.4            3.6   0.44           3.96\r\n6       5    0.6            5.4   0.56           5.04\r\n7       6    0.7            6.3   0.67           6.03\r\n8       7    0.8            7.2   0.78           7.02\r\n9       8    0.9            8.1   0.89           8.01\r\n10      9    1.0            9.0   1.00           9.00\r\n11     10    1.1            9.9   1.11           9.99\r\n12     11    1.2           10.8   1.22          10.98\r\n13     12    1.3           11.7   1.33          11.97\r\n14     13    1.4           12.6   1.44          12.96\r\n15     14    1.6           14.4   1.56          14.04\r\n16     15    1.7           15.3   1.67          15.03\r\n17     16    1.8           16.2   1.78          16.02\r\n18     17    1.9           17.1   1.89          17.01\r\n19     18    2.0           18.0   2.00          18.00\r\n20     19    2.1           18.9   2.11          18.99\r\n21     20    2.2           19.8   2.22          19.98\r\n22     21    2.3           20.7   2.33          20.97\r\n23     22    2.4           21.6   2.44          21.96\r\n24     23    2.6           23.4   2.56          23.04\r\n25     24    2.7           24.3   2.67          24.03\r\n26     25    2.8           25.2   2.78          25.02\r\n27     26    2.9           26.1   2.89          26.01\r\n28     27    3.0           27.0   3.00          27.00\r\n```"}}