{"id":1248,"date":"2023-07-27T03:48:40","date_gmt":"2023-07-27T03:48:40","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e5%ad%a6%e7%94%9f%e5%8c%96%e4%b8%ad%e7%9a%84%e6%ae%8b%e5%9f%ba\/"},"modified":"2023-07-27T03:48:40","modified_gmt":"2023-07-27T03:48:40","slug":"r-%e5%ad%a6%e7%94%9f%e5%8c%96%e4%b8%ad%e7%9a%84%e6%ae%8b%e5%9f%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e5%ad%a6%e7%94%9f%e5%8c%96%e4%b8%ad%e7%9a%84%e6%ae%8b%e5%9f%ba\/","title":{"rendered":"\u5982\u4f55\u8ba1\u7b97 r \u4e2d\u7684\u5b66\u751f\u5316\u6b8b\u5dee"},"content":{"rendered":"

<\/p>\n

\n

\u5b66\u751f\u6b8b\u5dee<\/strong>\u53ea\u662f\u6b8b\u5dee\u9664\u4ee5\u5176\u4f30\u8ba1\u7684\u6807\u51c6\u5dee\u3002<\/span><\/p>\n

\u5728\u5b9e\u8df5\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u8bf4\u6570\u636e\u96c6\u4e2d\u5b66\u751f\u6b8b\u5dee\u7edd\u5bf9\u503c\u5927\u4e8e 3 \u7684\u4efb\u4f55\u89c2\u6d4b\u503c<\/a>\u90fd\u662f\u5f02\u5e38\u503c\u3002<\/span><\/p>\n

\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 MASS \u5305\u4e2d\u7684Studres()<\/strong>\u51fd\u6570\u5feb\u901f\u83b7\u53d6 R \u4e2d\u4efb\u4f55\u56de\u5f52\u6a21\u578b\u7684\u5b66\u751f\u5316\u6b8b\u5dee\uff0c\u8be5\u51fd\u6570\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n

\u9970\u9489\uff08\u578b\u53f7\uff09<\/strong><\/span><\/p>\n

\u5176\u4e2d\u6a21\u578b<\/em>\u4ee3\u8868\u4efb\u4f55\u7ebf\u6027\u6a21\u578b\u3002<\/span><\/p>\n

\u793a\u4f8b\uff1a\u8ba1\u7b97 R \u4e2d\u7684\u5b66\u751f\u5316\u6b8b\u5dee<\/strong><\/span><\/h3>\n

\u5047\u8bbe\u6211\u4eec\u4f7f\u7528\u5185\u7f6emtcars<\/em>\u6570\u636e\u96c6\u5728 R \u4e2d\u6784\u5efa\u4ee5\u4e0b\u7b80\u5355\u7ebf\u6027\u56de\u5f52<\/a>\u6a21\u578b\uff1a<\/span><\/p>\n

 #build simple linear regression model<\/span>\nmodel <- lm(mpg ~ disp, data=mtcars)\n<\/strong><\/pre>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 MASS \u5305\u4e2d\u7684Studres()<\/strong>\u51fd\u6570\u6765\u8ba1\u7b97\u6570\u636e\u96c6\u4e2d\u6bcf\u4e2a\u89c2\u6d4b\u503c\u7684\u5b66\u751f\u5316\u6b8b\u5dee\uff1a<\/span><\/p>\n
 library<\/span> (MASS)<\/span>\n\n#calculate studentized residuals<\/span>\nstud_resids <- studres(model)\n\n#view first three studentized residuals<\/span>\nhead(stud_resids, 3)\n\n    Mazda RX4 Mazda RX4 Wag Datsun 710 \n   -0.6236250 -0.6236250 -0.7405315 \n<\/strong><\/pre>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u521b\u5efa\u9884\u6d4b\u53d8\u91cf\u503c\u4e0e\u76f8\u5e94\u7814\u7a76\u6b8b\u5dee\u7684\u5feb\u901f\u7ed8\u56fe\uff1a<\/span> <\/p>\n
 #plot predictor variable vs. studentized residuals\n<\/span>plot(mtcars$disp, stud_resids, ylab=' Studentized Residuals<\/span> ', xlab=' Displacement<\/span> ') \n\n#add horizontal line at 0\n<\/span>abline(0, 0)<\/strong> <\/pre>\n
\"R<\/p>\n
\u4ece\u56fe\u4e2d\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u6ca1\u6709\u4e00\u4e2a\u89c2\u6d4b\u503c\u7684\u5b66\u751f\u6b8b\u5dee\u7edd\u5bf9\u503c\u5927\u4e8e 3\uff0c\u56e0\u6b64\u6570\u636e\u96c6\u4e2d\u4e0d\u5b58\u5728\u660e\u663e\u7684\u5f02\u5e38\u503c\u3002<\/span><\/p>\n
\u5982\u679c\u6211\u4eec\u613f\u610f\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u6dfb\u52a0\u539f\u59cb\u6570\u636e\u96c6\u4e2d\u6bcf\u4e2a\u89c2\u5bdf\u503c\u7684\u5b66\u751f\u5316\u6b8b\u5dee\uff1a<\/span><\/p>\n
 #add studentized residuals to orignal dataset\n<\/span>final_data <- cbind<\/span> (mtcars[c(' mpg<\/span> ', ' disp<\/span> ')], stud_resids)\n\n#view final dataset\n<\/span>head(final_data)\n\n                   mpg disp stud_resids\nMazda RX4 21.0 160 -0.6236250\nMazda RX4 Wag 21.0 160 -0.6236250\nDatsun 710 22.8 108 -0.7405315\nHornet 4 Drive 21.4 258 0.7556078\nHornet Sportabout 18.7 360 1.2658336\nValiant 18.1 225 -0.6896297<\/strong><\/pre>\n
\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5b66\u751f\u6b8b\u5dee\u5bf9\u6bcf\u4e2a\u89c2\u5bdf\u503c\u4ece\u6700\u5927\u5230\u6700\u5c0f\u8fdb\u884c\u6392\u5e8f\uff0c\u4ee5\u4e86\u89e3\u54ea\u4e9b\u89c2\u5bdf\u503c\u6700\u63a5\u8fd1\u5f02\u5e38\u503c\uff1a<\/span><\/p>\n
 #sort studentized residuals descending\n<\/span>final_data[ order<\/span> (-stud_resids),]\n\n                     mpg disp stud_resids\nToyota Corolla 33.9 71.1 2.52397102\nPontiac Firebird 19.2 400.0 2.06825391\nFiat 128 32.4 78.7 2.03684699\nLotus Europa 30.4 95.1 1.53905536\nHonda Civic 30.4 75.7 1.27099586\nHornet Sportabout 18.7 360.0 1.26583364\nChrysler Imperial 14.7 440.0 1.06486066\nHornet 4 Drive 21.4 258.0 0.75560776\nPorsche 914-2 26.0 120.3 0.42424678\nFiat X1-9 27.3 79.0 0.30183728\nMerc 240D 24.4 146.7 0.26235893\nFord Pantera L 15.8 351.0 0.20825609\nCadillac Fleetwood 10.4 472.0 0.08338531\nLincoln Continental 10.4 460.0 -0.07863385\nDuster 360 14.3 360.0 -0.14476167\nMerc 450SL 17.3 275.8 -0.28759769\nDodge Challenger 15.5 318.0 -0.30826585\nMerc 230 22.8 140.8 -0.30945955\nMerc 450SE 16.4 275.8 -0.56742476\nAMC Javelin 15.2 304.0 -0.58138205\nCamaro Z28 13.3 350.0 -0.58848471\nMazda RX4 Wag 21.0 160.0 -0.62362497\nMazda RX4 21.0 160.0 -0.62362497\nMaserati Bora 15.0 301.0 -0.68315010\nValiant 18.1 225.0 -0.68962974\nDatsun 710 22.8 108.0 -0.74053152\nMerc 450SLC 15.2 275.8 -0.94814699\nToyota Corona 21.5 120.1 -0.99751166\nVolvo 142E 21.4 121.0 -1.01790487\nMerc 280 19.2 167.6 -1.09979261\nFerrari Dino 19.7 145.0 -1.24732999\nMerc 280C 17.8 167.6 -1.57258064\n<\/strong><\/pre>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u7b80\u5355\u7ebf\u6027\u56de\u5f52<\/a>
 \u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u591a\u5143\u7ebf\u6027\u56de\u5f52<\/a>
\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u6b8b\u5dee\u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u5b66\u751f\u6b8b\u5dee\u53ea\u662f\u6b8b\u5dee\u9664\u4ee5\u5176\u4f30\u8ba1\u7684\u6807\u51c6\u5dee\u3002 \u5728\u5b9e\u8df5\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u8bf4\u6570\u636e\u96c6\u4e2d\u5b66\u751f\u6b8b\u5dee\u7edd\u5bf9\u503c\u5927\u4e8e 3 \u7684\u4efb\u4f55\u89c2\u6d4b\u503c\u90fd\u662f\u5f02\u5e38 […]<\/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-1248","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u8ba1\u7b97 R \u4e2d\u7684\u5b66\u751f\u5316\u6b8b\u5dee<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u8ba1\u7b97\u548c\u89e3\u91ca\u5b66\u751f\u5316\u6b8b\u5dee\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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