{"id":4493,"date":"2023-07-10T16:38:24","date_gmt":"2023-07-10T16:38:24","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84-reg-%e5%ad%90%e9%9b%86\/"},"modified":"2023-07-10T16:38:24","modified_gmt":"2023-07-10T16:38:24","slug":"r-%e4%b8%ad%e7%9a%84-reg-%e5%ad%90%e9%9b%86","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84-reg-%e5%ad%90%e9%9b%86\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u4f7f\u7528 regsubsets() \u8fdb\u884c\u6a21\u578b\u9009\u62e9"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528 R \u4e2d\u7684<strong>leafs<\/strong>\u5305\u4e2d\u7684<strong>regsubsets()<\/strong>\u51fd\u6570\u6765\u67e5\u627e\u751f\u6210\u6700\u4f73\u56de\u5f52\u6a21\u578b\u7684\u9884\u6d4b\u53d8\u91cf\u5b50\u96c6\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4f8b\u5b50\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u9645\u4e2d\u4f7f\u7528\u8fd9\u4e2a\u529f\u80fd\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5728 R \u4e2d\u4f7f\u7528 regsubsets() \u8fdb\u884c\u6a21\u578b\u9009\u62e9<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 R \u4e2d\u5185\u7f6e\u7684<a href=\"https:\/\/statorials.org\/cn\/mtcars-r-\u6570\u636e\u96c6\/\" target=\"_blank\" rel=\"noopener\">mtcars<\/a>\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u5305\u542b 32 \u8f86\u4e0d\u540c\u6c7d\u8f66\u7684 11 \u79cd\u4e0d\u540c\u5c5e\u6027\u7684\u6d4b\u91cf\u7ed3\u679c\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #008080;\"><strong>#view first six rows of mtcars dataset<\/strong><\/span>\n<strong>head(mtcars)\n\n                   mpg cyl disp hp drat wt qsec vs am gear carb\nMazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4\nMazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4\nDatsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1\nHornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1\nHornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2\nValiant 18.1 6 225 105 2.76 3,460 20.22 1 0 3 1\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u60f3\u8981\u4f7f\u7528<strong>hp<\/strong>\u4f5c\u4e3a\u54cd\u5e94\u53d8\u91cf\u548c\u4ee5\u4e0b\u6f5c\u5728\u9884\u6d4b\u53d8\u91cf\u6765\u62df\u5408\u56de\u5f52\u6a21\u578b\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u82f1\u91cc\/\u52a0\u4ed1<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u91cd\u91cf<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u62c9\u5c4e<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u5feb\u79d2<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>Leaps<\/strong>\u5305\u4e2d\u7684<strong>regsubsets()<\/strong>\u51fd\u6570\u6765\u6267\u884c\u8be6\u5c3d\u7684\u641c\u7d22\uff0c\u4ee5\u627e\u5230\u6700\u4f73\u7684\u56de\u5f52\u6a21\u578b\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (leaps)\n\n<span style=\"color: #008080;\">#find best regression model\n<\/span>bestSubsets &lt;- regsubsets(hp ~ mpg + wt + drat + qsec, data=mtcars)\n\n<span style=\"color: #008080;\">#view results\n<\/span>summary(bestSubsets)\n\nSubset selection object\nCall: regsubsets.formula(hp ~ mpg + wt + drat + qsec, data = mtcars)\n4 Variables (and intercept)\n     Forced in Forced out\nmpg FALSE FALSE\nwt FALSE FALSE\ndrat FALSE FALSE\nqsec FALSE FALSE\n1 subsets of each size up to 4\nSelection Algorithm: exhaustive\n         mpg wt drat qsec\n1 ( 1 ) \"*\" \" \" \" \" \" \" \n2 (1) \" \" \"*\" \" \" \"*\" \n3 ( 1 ) \u201c*\u201d \u201c*\u201d \u201c \u201c \u201c*\u201d \n4 ( 1 ) \u201c*\u201d \u201c*\u201d \u201c*\u201d \u201c*\u201d<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u7ed3\u679c\u5e95\u90e8\u7684\u661f\u53f7 ( <strong>*<\/strong> ) \u6307\u793a\u5bf9\u4e8e\u5177\u6709\u4e0d\u540c\u6570\u91cf\u7684\u9884\u6d4b\u53d8\u91cf\u7684\u6bcf\u4e2a\u53ef\u80fd\u6a21\u578b\uff0c\u54ea\u4e9b\u9884\u6d4b\u53d8\u91cf\u5c5e\u4e8e\u6700\u4f73\u56de\u5f52\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u5982\u4f55\u89e3\u91ca\u7ed3\u679c\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5bf9\u4e8e\u5177\u6709\u5355\u4e2a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\uff0c\u4f7f\u7528<strong>mpg<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u751f\u6210\u6700\u4f73\u56de\u5f52\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5bf9\u4e8e\u5177\u6709\u4e24\u4e2a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\uff0c\u4f7f\u7528<b>wt<\/b>\u548c<strong>qsec<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u751f\u6210\u6700\u4f73\u56de\u5f52\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5bf9\u4e8e\u5177\u6709\u4e09\u4e2a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\uff0c\u4f7f\u7528<strong>mpg<\/strong> \u3001 <b>wt<\/b>\u548c<strong>qsec<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u751f\u6210\u6700\u4f73\u56de\u5f52\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5bf9\u4e8e\u5177\u6709\u56db\u4e2a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\uff0c\u4f7f\u7528<strong>mpg<\/strong> \u3001 <b>wt<\/b> \u3001 <strong>drat<\/strong>\u548c<strong>qsec<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u751f\u6210\u6700\u4f73\u56de\u5f52\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u6a21\u578b\u63d0\u53d6\u4ee5\u4e0b\u6307\u6807\uff1a<\/span><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>rsq<\/strong> \uff1a\u6bcf\u4e2a\u6a21\u578b\u7684<a href=\"https:\/\/statorials.org\/cn\/\u826f\u597d\u7684-r-\u5e73\u65b9\u503c\/\" target=\"_blank\" rel=\"noopener\">r \u5e73\u65b9\u503c<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>RSS<\/strong> \uff1a\u6bcf\u4e2a\u6a21\u578b\u7684\u6b8b\u5dee\u5e73\u65b9\u548c<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>adjr2<\/strong> \uff1a\u6bcf\u4e2a\u6a21\u578b<a href=\"https:\/\/statorials.org\/cn\/\u8c03\u6574\u540e\u7684-r-\u5e73\u65b9\u89e3\u91ca\/\" target=\"_blank\" rel=\"noopener\">\u8c03\u6574\u540e\u7684 r \u5e73\u65b9\u503c<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>cp<\/strong> \uff1a\u6bcf\u4e2a\u6a21\u578b\u7684<a href=\"https:\/\/statorials.org\/cn\/\u7d2b\u8272cp\/\" target=\"_blank\" rel=\"noopener\">\u9526\u8475\u7684 Cp<\/a><\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>bic<\/strong> \uff1a\u6bcf\u4e2a\u578b\u53f7\u7684<a href=\"https:\/\/statorials.org\/cn\/\u6bd4\u514b\u81f3\u5c14\/\" target=\"_blank\" rel=\"noopener\">BIC \u503c<\/a><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u63d0\u53d6\u56db\u4e2a\u6700\u4f73\u6a21\u578b\u4e2d\u6bcf\u4e2a\u6a21\u578b\u7684\u62df\u5408 R \u5e73\u65b9\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#view adjusted R-squared value of each model<\/span>\nsummary(bestSubsets)$adjr2\n\n[1] 0.5891853 0.7828169 0.7858829 0.7787005\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4ece\u7ed3\u679c\u6211\u4eec\u53ef\u4ee5\u770b\u51fa\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u4ee5<strong>mpg<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\u7684\u8c03\u6574 R \u5e73\u65b9\u503c\u4e3a<strong>0.589<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4ee5<strong>wt<\/strong>\u548c<strong>qsec<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\u7684\u8c03\u6574 R \u5e73\u65b9\u503c\u4e3a<strong>0.783<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4ee5<strong>mp<\/strong> <strong>g<\/strong> \u3001 <strong>wt<\/strong>\u548c<strong>qsec<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\u7684\u8c03\u6574 R \u5e73\u65b9\u503c\u4e3a<strong>0.786<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4ee5<strong>mpg<\/strong> \u3001 <strong>wt<\/strong> \u3001 <strong>drat<\/strong>\u548c<strong>qsec<\/strong>\u4f5c\u4e3a\u9884\u6d4b\u53d8\u91cf\u7684\u6a21\u578b\u7684\u8c03\u6574 R \u5e73\u65b9\u503c\u4e3a<strong>0.779<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8fd9\u4e9b\u503c\u8ba9\u6211\u4eec\u4e86\u89e3\u9884\u6d4b\u53d8\u91cf\u96c6\u5bf9\u54cd\u5e94\u53d8\u91cf\u503c\u7684\u9884\u6d4b\u6548\u679c\u5982\u4f55\uff0c\u5e76\u6839\u636e\u6a21\u578b\u4e2d\u9884\u6d4b\u53d8\u91cf\u7684\u6570\u91cf\u8fdb\u884c\u8c03\u6574\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u591a\u5143\u7ebf\u6027\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u591a\u5143\u7ebf\u6027\u56de\u5f52<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u5206\u6bb5\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5206\u6bb5\u56de\u5f52<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u6837\u6761\u56de\u5f52\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u6837\u6761\u56de\u5f52<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528 R \u4e2d\u7684leafs\u5305\u4e2d\u7684regsubsets()\u51fd\u6570\u6765\u67e5\u627e\u751f\u6210\u6700\u4f73\u56de\u5f52\u6a21\u578b\u7684\u9884\u6d4b\u53d8\u91cf\u5b50\u96c6\u3002 \u4e0b\u9762\u7684 [&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-4493","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\u5728 R 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