{"id":1965,"date":"2023-07-24T06:59:35","date_gmt":"2023-07-24T06:59:35","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e8%af%8a%e6%96%ad%e5%9b%be\/"},"modified":"2023-07-24T06:59:35","modified_gmt":"2023-07-24T06:59:35","slug":"r-%e4%b8%ad%e7%9a%84%e8%af%8a%e6%96%ad%e5%9b%be","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e8%af%8a%e6%96%ad%e5%9b%be\/","title":{"rendered":"\u5982\u4f55\u89e3\u91ca r \u4e2d\u7684\u8bca\u65ad\u56fe"},"content":{"rendered":"

<\/p>\n

\n

\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7528\u4e8e\u63cf\u8ff0\u4e00\u4e2a\u6216\u591a\u4e2a\u9884\u6d4b\u53d8\u91cf\u4e0e\u54cd\u5e94\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/span><\/p>\n

\u7136\u800c\uff0c\u4e00\u65e6\u6211\u4eec\u62df\u5408\u4e86\u56de\u5f52\u6a21\u578b\uff0c\u6700\u597d\u8fd8\u751f\u6210\u8bca\u65ad\u56fe<\/strong>\u6765\u5206\u6790\u6a21\u578b\u6b8b\u5dee\u5e76\u786e\u4fdd\u7ebf\u6027\u6a21\u578b\u9002\u5408\u6211\u4eec\u6b63\u5728\u5904\u7406\u7684\u7279\u5b9a\u6570\u636e\u3002<\/span><\/p>\n

\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u548c\u89e3\u91ca\u7ed9\u5b9a\u56de\u5f52\u6a21\u578b\u7684\u8bca\u65ad\u56fe\u3002<\/span><\/p>\n

\u793a\u4f8b\uff1a\u5728 R \u4e2d\u521b\u5efa\u548c\u89e3\u91ca\u8bca\u65ad\u56fe<\/strong><\/span><\/h3>\n

\u5047\u8bbe\u6211\u4eec\u4f7f\u7528\u201c\u5b66\u4e60\u65f6\u95f4\u201d\u62df\u5408\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u6765\u9884\u6d4b\u67d0\u4e2a\u73ed\u7ea7\u5b66\u751f\u7684\u201c\u8003\u8bd5\u6210\u7ee9\u201d\uff1a<\/span><\/p>\n

 #create data frame<\/span>\ndf <- data. frame<\/span> (hours=c(1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 5, 5, 6),\n                 score=c(67, 65, 68, 77, 73, 79, 81, 88, 80, 67, 84, 93, 90, 91)) \n\n#fit linear regression model<\/span>\nmodel = lm(score ~ hours, data=df)\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528plot()<\/strong>\u547d\u4ee4\u4e3a\u8be5\u56de\u5f52\u6a21\u578b\u751f\u6210\u56db\u4e2a\u8bca\u65ad\u56fe\uff1a<\/span> <\/p>\n
 #produce diagnostic plots for regression model\n<\/span>plot(model)\n<\/strong><\/pre>\n
\"R<\/p>\n
\u8bca\u65ad\u56fe#1\uff1a\u6b8b\u5dee\u4e0e\u6b8b\u5dee\u6760\u6746\u56fe<\/strong><\/span><\/h3>\n
\u8be5\u56fe\u7528\u4e8e\u8bc6\u522b\u6709\u5f71\u54cd\u529b\u7684\u89c2\u5bdf\u7ed3\u679c\u3002\u5982\u679c\u8be5\u56fe\u4e0a\u7684\u4efb\u4f55\u70b9\u843d\u5728\u5e93\u514b\u8ddd\u79bb\uff08\u865a\u7ebf\uff09\u4e4b\u5916\uff0c\u90a3\u4e48\u8fd9\u662f\u4e00\u4e2a\u6709\u5f71\u54cd\u529b\u7684\u89c2\u5bdf\u3002<\/span> <\/p>\n
\"\u5728<\/p>\n
\u5728\u6211\u4eec\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u89c2\u6d4b\u503c #10 \u6700\u63a5\u8fd1\u5e93\u514b\u8ddd\u79bb\u9650\u5236\uff0c\u4f46\u5b83\u6ca1\u6709\u843d\u5728\u865a\u7ebf\u4e4b\u5916\u3002\u8fd9\u610f\u5473\u7740\u6211\u4eec\u7684\u6570\u636e\u96c6\u4e2d\u4e0d\u5b58\u5728\u8fc7\u5ea6\u5f71\u54cd\u7684\u70b9\u3002<\/span><\/p>\n
\u8bca\u65ad\u56fe #2\uff1a\u89c4\u6a21\u548c\u4f4d\u7f6e\u56fe<\/strong><\/span><\/h3>\n
\u8be5\u56fe\u7528\u4e8e\u9a8c\u8bc1\u56de\u5f52\u6a21\u578b\u6b8b\u5dee\u4e4b\u95f4\u65b9\u5dee\u76f8\u7b49\uff08\u4e5f\u79f0\u4e3a\u201c\u540c\u65b9\u5dee\u201d\uff09\u7684\u5047\u8bbe\u3002\u5982\u679c\u7ea2\u7ebf\u5728\u56fe\u4e0a\u8fd1\u4f3c\u6c34\u5e73\uff0c\u5219\u53ef\u80fd\u6ee1\u8db3\u65b9\u5dee\u76f8\u7b49\u7684\u5047\u8bbe\u3002<\/span> <\/p>\n
\"\u5728<\/p>\n
\u5728\u6211\u4eec\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u7ea2\u7ebf\u5728\u7ed8\u56fe\u4e0a\u5e76\u4e0d\u5b8c\u5168\u6c34\u5e73\uff0c\u4f46\u5b83\u5728\u4efb\u4f55\u70b9\u90fd\u4e0d\u4f1a\u504f\u79bb\u592a\u8fdc\u3002\u6211\u4eec\u53ef\u80fd\u4f1a\u8bf4\uff0c\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u4e0d\u8fdd\u53cd\u7b49\u65b9\u5dee\u7684\u5047\u8bbe\u3002<\/span><\/p>\n
\u76f8\u5173\uff1a<\/strong><\/span>\u4e86\u89e3\u56de\u5f52\u5206\u6790\u4e2d\u7684\u5f02\u65b9\u5dee<\/a><\/p>\n
\u8bca\u65ad\u75d5\u8ff9#3\uff1a\u6b63\u5e38\u7684QQ\u75d5\u8ff9<\/strong><\/span><\/h3>\n
\u8be5\u56fe\u7528\u4e8e\u786e\u5b9a\u56de\u5f52\u6a21\u578b\u7684\u6b8b\u5dee\u662f\u5426\u5448\u6b63\u6001\u5206\u5e03\u3002\u5982\u679c\u8be5\u56fe\u4e0a\u7684\u70b9\u5927\u81f4\u6cbf\u7740\u76f4\u7ebf\u5bf9\u89d2\u7ebf\u5206\u5e03\uff0c\u90a3\u4e48\u6211\u4eec\u53ef\u4ee5\u5047\u8bbe\u6b8b\u5dee\u5448\u6b63\u6001\u5206\u5e03\u3002<\/span> <\/p>\n
\"\"<\/p>\n
\u5728\u6211\u4eec\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u8fd9\u4e9b\u70b9\u5927\u81f4\u6cbf\u7740\u5bf9\u89d2\u76f4\u7ebf\u5206\u5e03\u3002\u89c2\u5bdf\u503c #10 \u548c #8 \u4e0e\u672b\u7aef\u7684\u7ebf\u7565\u6709\u504f\u5dee\uff0c\u4f46\u4e0d\u8db3\u4ee5\u8868\u660e\u6b8b\u5dee\u4e0d\u5448\u6b63\u6001\u5206\u5e03\u3002<\/span><\/p>\n
\u8bca\u65ad\u56fe#4\uff1a\u6b8b\u5dee\u4e0e\u6b8b\u5dee\u8c03\u6574\u540e\u7684\u5730\u5757<\/strong><\/span><\/h3>\n
\u8be5\u56fe\u7528\u4e8e\u786e\u5b9a\u6b8b\u5dee\u662f\u5426\u8868\u73b0\u51fa\u975e\u7ebf\u6027\u6a21\u5f0f\u3002\u5982\u679c\u56fe\u4e2d\u5fc3\u7684\u7ea2\u7ebf\u8fd1\u4f3c\u6c34\u5e73\uff0c\u6211\u4eec\u53ef\u4ee5\u5047\u8bbe\u6b8b\u5dee\u9075\u5faa\u7ebf\u6027\u6a21\u5f0f\u3002<\/span> <\/p>\n
\"\"<\/p>\n
\u5728\u6211\u4eec\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u7ea2\u7ebf\u504f\u79bb\u4e86\u5b8c\u7f8e\u7684\u6c34\u5e73\u7ebf\uff0c\u4f46\u5e76\u4e0d\u660e\u663e\u3002\u6211\u4eec\u53ef\u80fd\u4f1a\u8bf4\u6b8b\u5dee\u9075\u5faa\u5927\u81f4\u7ebf\u6027\u6a21\u5f0f\uff0c\u5e76\u4e14\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u9002\u5408\u8be5\u6570\u636e\u96c6\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u7ebf\u6027\u56de\u5f52\u7684\u56db\u4e2a\u5047\u8bbe<\/a>
\u7edf\u8ba1\u4e2d\u7684\u6b8b\u5dee\u662f\u4ec0\u4e48\uff1f<\/a>
\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u6b8b\u5dee\u56fe<\/a>
\u5982\u4f55\u89e3\u91ca\u6bd4\u4f8b\u56fe\u548c\u4f4d\u7f6e\u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7528\u4e8e\u63cf\u8ff0\u4e00\u4e2a\u6216\u591a\u4e2a\u9884\u6d4b\u53d8\u91cf\u4e0e\u54cd\u5e94\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002 \u7136\u800c\uff0c\u4e00\u65e6\u6211\u4eec\u62df\u5408\u4e86\u56de\u5f52\u6a21\u578b\uff0c\u6700\u597d\u8fd8\u751f\u6210\u8bca\u65ad\u56fe\u6765 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1965","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u89e3\u91ca R \u4e2d\u7684\u8bca\u65ad\u56fe - Statory<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u793a\u4f8b\u8bf4\u660e\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u548c\u89e3\u91ca\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u7684\u8bca\u65ad\u56fe\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u8bca\u65ad\u56fe\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u89e3\u91ca R \u4e2d\u7684\u8bca\u65ad\u56fe - 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