{"id":1144,"date":"2023-07-27T12:43:28","date_gmt":"2023-07-27T12:43:28","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e5%88%b0-r-%e7%9a%84%e5%b9%b3%e6%96%b9\/"},"modified":"2023-07-27T12:43:28","modified_gmt":"2023-07-27T12:43:28","slug":"r-%e5%88%b0-r-%e7%9a%84%e5%b9%b3%e6%96%b9","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e5%88%b0-r-%e7%9a%84%e5%b9%b3%e6%96%b9\/","title":{"rendered":"\u5982\u4f55\u627e\u5230 r \u4e2d\u7684\u51b3\u5b9a\u7cfb\u6570\uff08r \u5e73\u65b9\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u51b3\u5b9a\u7cfb\u6570<\/strong>\uff08\u901a\u5e38\u8868\u793a\u4e3a R <sup>2<\/sup> \uff09\u662f\u53ef\u4ee5\u7531\u56de\u5f52\u6a21\u578b\u4e2d\u7684\u89e3\u91ca\u53d8\u91cf\u89e3\u91ca\u7684<a href=\"https:\/\/statorials.org\/cn\/\u53d8\u91cf\u89e3\u91ca\u6027\u53cd\u5e94\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u54cd\u5e94\u53d8\u91cf<\/a>\u65b9\u5dee\u7684\u6bd4\u4f8b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u5982\u4f55\u5728 R \u56de\u5f52\u6a21\u578b\u4e2d\u67e5\u627e\u548c\u89e3\u91ca<sup>R2<\/sup>\u7684\u793a\u4f8b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u76f8\u5173\uff1a<\/strong> <a href=\"https:\/\/statorials.org\/cn\/\u826f\u597d\u7684-r-\u5e73\u65b9\u503c\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u4ec0\u4e48\u662f\u597d\u7684 R \u5e73\u65b9\u503c\uff1f<\/a><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5728 R \u4e2d\u67e5\u627e\u5e76\u89e3\u91ca R \u5e73\u65b9<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u5305\u542b 15 \u540d\u5b66\u751f\u7684\u5b66\u4e60\u65f6\u6570\u3001\u53c2\u52a0\u7684\u9884\u5907\u8003\u8bd5\u4ee5\u53ca\u6536\u5230\u7684\u8003\u8bd5\u6210\u7ee9\u7684\u6570\u636e\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data.frame(hours=c(1, 2, 2, 4, 2, 1, 5, 4, 2, 4, 4, 3, 6, 5, 3),\n                 prep_exams=c(1, 3, 3, 5, 2, 2, 1, 1, 0, 3, 4, 3, 2, 4, 4),\n                 score=c(76, 78, 85, 88, 72, 69, 94, 94, 88, 92, 90, 75, 96, 90, 82))\n\n<span style=\"color: #008080;\">#view first six rows of data frame<\/span>\nhead(df)\n\n  hours prep_exams score\n1 1 1 76\n2 2 3 78\n3 2 3 85\n4 4 5 88\n5 2 2 72\n6 1 2 69\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5c06 <a href=\"https:\/\/statorials.org\/cn\/\u591a\u5143\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u591a\u5143\u7ebf\u6027\u56de\u5f52\u6a21\u578b<\/a>\u62df\u5408\u5230\u8be5\u6570\u636e\u96c6\u5e76\u5728 R \u4e2d\u663e\u793a\u6a21\u578b\u8f93\u51fa\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit regression model<\/span>\nmodel &lt;- lm(score~hours+prep_exams, data=df)\n\n<span style=\"color: #008080;\">#view model summary<\/span>\nsummary(model)\n\nCall:\nlm(formula = score ~ hours + prep_exams, data = df)\n\nResiduals:\n    Min 1Q Median 3Q Max \n-7.9896 -2.5514 0.3079 3.3370 7.0352 \n\nCoefficients:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 71.8078 3.5222 20.387 1.12e-10 ***\nhours 5.0247 0.8964 5.606 0.000115 ***\nprep_exams -1.2975 0.9689 -1.339 0.205339    \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 4.944 on 12 degrees of freedom\nMultiple R-squared: 0.7237, Adjusted R-squared: 0.6776 \nF-statistic: 15.71 on 2 and 12 DF, p-value: 0.0004454<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6a21\u578b\u7684 R \u5e73\u65b9\uff08\u663e\u793a\u5728\u8f93\u51fa\u7684\u6700\u5e95\u90e8\uff09\u7ed3\u679c\u4e3a<strong>0.7237<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u610f\u5473\u7740<strong>72.37%<\/strong>\u7684\u8003\u8bd5\u6210\u7ee9\u5dee\u5f02\u53ef\u4ee5\u901a\u8fc7\u5b66\u4e60\u65f6\u6570\u548c\u7ec3\u4e60\u8003\u8bd5\u6b21\u6570\u6765\u89e3\u91ca\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u8bbf\u95ee\u8be5\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>summary(model)$r.squared\n\n[1] 0.7236545<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u5982\u4f55\u89e3\u91ca R \u5e73\u65b9\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">R \u5e73\u65b9\u503c\u59cb\u7ec8\u4ecb\u4e8e 0 \u548c 1 \u4e4b\u95f4\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u503c\u4e3a 1 \u8868\u793a\u89e3\u91ca\u53d8\u91cf\u53ef\u4ee5\u5b8c\u7f8e\u89e3\u91ca\u54cd\u5e94\u53d8\u91cf\u7684\u65b9\u5dee\uff0c\u503c\u4e3a 0 \u8868\u793a\u89e3\u91ca\u53d8\u91cf\u4e0d\u5177\u5907\u89e3\u91ca\u54cd\u5e94\u53d8\u91cf\u65b9\u5dee\u7684\u80fd\u529b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e00\u822c\u6765\u8bf4\uff0c\u56de\u5f52\u6a21\u578b\u7684 R \u5e73\u65b9\u503c\u8d8a\u5927\uff0c\u89e3\u91ca\u53d8\u91cf\u8d8a\u80fd\u9884\u6d4b\u54cd\u5e94\u53d8\u91cf\u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u67e5\u770b<a href=\"https:\/\/statorials.org\/cn\/\u826f\u597d\u7684-r-\u5e73\u65b9\u503c\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u8fd9\u7bc7\u6587\u7ae0\uff0c<\/a>\u4e86\u89e3\u6709\u5173\u5982\u4f55\u786e\u5b9a\u7ed9\u5b9a R \u5e73\u65b9\u503c\u5bf9\u4e8e\u7ed9\u5b9a\u56de\u5f52\u6a21\u578b\u662f\u5426\u88ab\u89c6\u4e3a\u201c\u826f\u597d\u201d\u7684\u66f4\u591a\u8be6\u7ec6\u4fe1\u606f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u76f8\u5173\uff1a<\/strong><\/span><a href=\"https:\/\/statorials.org\/cn\/r-\u62df\u5408\u4e2d\u7684-r-\u65b9\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u8ba1\u7b97 R \u4e2d\u8c03\u6574\u540e\u7684 R \u5e73\u65b9<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u51b3\u5b9a\u7cfb\u6570\uff08\u901a\u5e38\u8868\u793a\u4e3a R 2 \uff09\u662f\u53ef\u4ee5\u7531\u56de\u5f52\u6a21\u578b\u4e2d\u7684\u89e3\u91ca\u53d8\u91cf\u89e3\u91ca\u7684\u54cd\u5e94\u53d8\u91cf\u65b9\u5dee\u7684\u6bd4\u4f8b\u3002 \u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u5982\u4f55\u5728 R [&hellip;]<\/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-1144","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u627e\u5230 R \u4e2d\u7684\u51b3\u5b9a\u7cfb\u6570\uff08R \u5e73\u65b9\uff09<\/title>\n<meta name=\"description\" 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