{"id":1245,"date":"2023-07-27T03:48:40","date_gmt":"2023-07-27T03:48:40","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a8%d9%82%d8%a7%d9%8a%d8%a7-%d9%81%d9%8a-%d8%b5-%d8%b7%d8%a7%d9%84%d8%a8\/"},"modified":"2023-07-27T03:48:40","modified_gmt":"2023-07-27T03:48:40","slug":"%d8%a8%d9%82%d8%a7%d9%8a%d8%a7-%d9%81%d9%8a-%d8%b5-%d8%b7%d8%a7%d9%84%d8%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a8%d9%82%d8%a7%d9%8a%d8%a7-%d9%81%d9%8a-%d8%b5-%d8%b7%d8%a7%d9%84%d8%a8\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062e\u0644\u0641\u0627\u062a \u0627\u0644\u0637\u0627\u0644\u0628\u064a\u0629 \u0641\u064a r"},"content":{"rendered":"

<\/p>\n

\n

\u0627\u0644\u0637\u0627\u0644\u0628 \u0627\u0644\u0645\u062a\u0628\u0642\u064a<\/strong> \u0647\u0648 \u0628\u0628\u0633\u0627\u0637\u0629 \u0627\u0644\u0645\u062a\u0628\u0642\u064a \u0645\u0642\u0633\u0648\u0645\u064b\u0627 \u0639\u0644\u0649 \u0627\u0646\u062d\u0631\u0627\u0641\u0647 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a \u0627\u0644\u0645\u0642\u062f\u0631.<\/span><\/p>\n

\u0645\u0646 \u0627\u0644\u0646\u0627\u062d\u064a\u0629 \u0627\u0644\u0639\u0645\u0644\u064a\u0629\u060c \u0646\u0642\u0648\u0644 \u0628\u0634\u0643\u0644 \u0639\u0627\u0645 \u0623\u0646 \u0623\u064a \u0645\u0644\u0627\u062d\u0638\u0629<\/a> \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u0643\u0648\u0646 \u0641\u064a\u0647\u0627 \u0627\u0644\u0637\u0627\u0644\u0628 \u0627\u0644\u0645\u062a\u0628\u0642\u064a \u0623\u0643\u0628\u0631 \u0645\u0646 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u0637\u0644\u0642\u0629 \u0627\u0644\u0628\u0627\u0644\u063a\u0629 3 \u0647\u064a \u0642\u064a\u0645\u0629 \u0645\u062a\u0637\u0631\u0641\u0629.<\/span><\/p>\n

\u064a\u0645\u0643\u0646\u0646\u0627 \u0628\u0633\u0631\u0639\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0627\u0644\u0637\u0644\u0627\u0628\u064a\u0629 \u0644\u0623\u064a \u0646\u0645\u0648\u0630\u062c \u0627\u0646\u062d\u062f\u0627\u0631 \u0641\u064a R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 Studres()<\/strong> \u0645\u0646 \u0627\u0644\u062d\u0632\u0645\u0629 MASS\u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n

\u0633\u062a\u062f\u0631\u0633 (\u0646\u0645\u0648\u0630\u062c)<\/strong><\/span><\/p>\n

\u062d\u064a\u062b \u064a\u0645\u062b\u0644 \u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/em> \u0623\u064a \u0646\u0645\u0648\u0630\u062c \u062e\u0637\u064a.<\/span><\/p>\n

\u0645\u062b\u0627\u0644: \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062e\u0644\u0641\u0627\u062a \u0627\u0644\u0637\u0627\u0644\u0628\u064a\u0629 \u0641\u064a R<\/strong><\/span><\/h3>\n

\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646\u0646\u0627 \u0642\u0645\u0646\u0627 \u0628\u0628\u0646\u0627\u0621 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0627\u0644\u0628\u0633\u064a\u0637<\/a> \u0627\u0644\u062a\u0627\u0644\u064a \u0641\u064a R\u060c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u062c\u0645\u0648\u0639\u0629 \u0628\u064a\u0627\u0646\u0627\u062a mtcars<\/em> \u0627\u0644\u0645\u0636\u0645\u0646\u0629:<\/span><\/p>\n

 #build simple linear regression model<\/span>\nmodel <- lm(mpg ~ disp, data=mtcars)\n<\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 Stures()<\/strong> \u0645\u0646 \u062d\u0632\u0645\u0629 MASS \u0644\u062d\u0633\u0627\u0628 \u0628\u0642\u0627\u064a\u0627 \u0627\u0644\u0637\u0644\u0627\u0628 \u0644\u0643\u0644 \u0645\u0644\u0627\u062d\u0638\u0629 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a:<\/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
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0633\u0631\u064a\u0639 \u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 \u0645\u0642\u0627\u0628\u0644 \u0627\u0644\u0645\u062e\u0644\u0641\u0627\u062a \u0627\u0644\u0645\u062f\u0631\u0648\u0633\u0629 \u0627\u0644\u0645\u0642\u0627\u0628\u0644\u0629:<\/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
\"\u0628\u0642\u0627\u064a\u0627<\/p>\n
 \u0645\u0646 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0623\u064a\u064b\u0627 \u0645\u0646 \u0627\u0644\u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0644\u0627 \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u062a\u0628\u0642\u064a \u0644\u0644\u0637\u0627\u0644\u0628 \u0628\u0642\u064a\u0645\u0629 \u0645\u0637\u0644\u0642\u0629 \u0623\u0643\u0628\u0631 \u0645\u0646 3\u060c \u0644\u0630\u0644\u0643 \u0644\u0627 \u062a\u0648\u062c\u062f \u0642\u064a\u0645 \u0645\u062a\u0637\u0631\u0641\u0629 \u0648\u0627\u0636\u062d\u0629 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/span><\/p>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0625\u0636\u0627\u0641\u0629 \u0628\u0642\u0627\u064a\u0627 \u0643\u0644 \u0645\u0644\u0627\u062d\u0638\u0629 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0635\u0644\u064a\u0629 \u0625\u0630\u0627 \u0623\u0631\u062f\u0646\u0627 \u0630\u0644\u0643:<\/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
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0628\u0639\u062f \u0630\u0644\u0643 \u0641\u0631\u0632 \u0643\u0644 \u0645\u0644\u0627\u062d\u0638\u0629 \u0645\u0646 \u0627\u0644\u0623\u0643\u0628\u0631 \u0625\u0644\u0649 \u0627\u0644\u0623\u0635\u063a\u0631 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0628\u0642\u0627\u064a\u0627 \u0627\u0644\u0637\u0627\u0644\u0628 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0647\u0627 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0641\u0643\u0631\u0629 \u0639\u0646 \u0627\u0644\u0645\u0644\u0627\u062d\u0638\u0627\u062a \u0627\u0644\u0623\u0642\u0631\u0628 \u0625\u0644\u0649 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u0637\u0631\u0641\u0629:<\/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
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0627\u0644\u0628\u0633\u064a\u0637 \u0641\u064a R<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0627\u0644\u0645\u062a\u0639\u062f\u062f \u0641\u064a R<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0645\u062a\u0628\u0642\u064a\u0629 \u0641\u064a R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0627\u0644\u0637\u0627\u0644\u0628 \u0627\u0644\u0645\u062a\u0628\u0642\u064a \u0647\u0648 \u0628\u0628\u0633\u0627\u0637\u0629 \u0627\u0644\u0645\u062a\u0628\u0642\u064a \u0645\u0642\u0633\u0648\u0645\u064b\u0627 \u0639\u0644\u0649 \u0627\u0646\u062d\u0631\u0627\u0641\u0647 \u0627\u0644\u0645\u0639\u064a\u0627\u0631\u064a \u0627\u0644\u0645\u0642\u062f\u0631. \u0645\u0646 \u0627\u0644\u0646\u0627\u062d\u064a\u0629 \u0627\u0644\u0639\u0645\u0644\u064a\u0629\u060c \u0646\u0642\u0648\u0644 \u0628\u0634\u0643\u0644 \u0639\u0627\u0645 \u0623\u0646 \u0623\u064a \u0645\u0644\u0627\u062d\u0638\u0629 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u0643\u0648\u0646 \u0641\u064a\u0647\u0627 \u0627\u0644\u0637\u0627\u0644\u0628 \u0627\u0644\u0645\u062a\u0628\u0642\u064a \u0623\u0643\u0628\u0631 \u0645\u0646 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u0637\u0644\u0642\u0629 \u0627\u0644\u0628\u0627\u0644\u063a\u0629 3 \u0647\u064a \u0642\u064a\u0645\u0629 \u0645\u062a\u0637\u0631\u0641\u0629. \u064a\u0645\u0643\u0646\u0646\u0627 \u0628\u0633\u0631\u0639\u0629 \u0627\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0627\u0644\u0628\u0642\u0627\u064a\u0627 \u0627\u0644\u0637\u0644\u0627\u0628\u064a\u0629 \u0644\u0623\u064a \u0646\u0645\u0648\u0630\u062c \u0627\u0646\u062d\u062f\u0627\u0631 \u0641\u064a R \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 Studres() \u0645\u0646 \u0627\u0644\u062d\u0632\u0645\u0629 MASS\u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 […]<\/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":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062e\u0644\u0641\u0627\u062a \u0627\u0644\u0637\u0627\u0644\u0628\u064a\u0629 \u0641\u064a R<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0648\u062a\u0641\u0633\u064a\u0631 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u0628\u0642\u064a\u0629 \u0644\u0644\u0637\u0644\u0627\u0628 \u0641\u064a R\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\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\/ar\/\u0628\u0642\u0627\u064a\u0627-\u0641\u064a-\u0635-\u0637\u0627\u0644\u0628\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 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