{"id":2253,"date":"2023-07-23T01:36:42","date_gmt":"2023-07-23T01:36:42","guid":{"rendered":"https:\/\/statorials.org\/ko\/glm-fit-%e1%84%8b%e1%85%a1%e1%86%af%e1%84%80%e1%85%a9%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b5-%e1%84%89%e1%85%ae%e1%84%85%e1%85%a7%e1%86%b7%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5\/"},"modified":"2023-07-23T01:36:42","modified_gmt":"2023-07-23T01:36:42","slug":"glm-fit-%e1%84%8b%e1%85%a1%e1%86%af%e1%84%80%e1%85%a9%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b5-%e1%84%89%e1%85%ae%e1%84%85%e1%85%a7%e1%86%b7%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/glm-fit-%e1%84%8b%e1%85%a1%e1%86%af%e1%84%80%e1%85%a9%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%86%b7%e1%84%8b%e1%85%b5-%e1%84%89%e1%85%ae%e1%84%85%e1%85%a7%e1%86%b7%e1%84%92%e1%85%a1%e1%84%8c%e1%85%b5\/","title":{"rendered":"R \uacbd\uace0 \ucc98\ub9ac \ubc29\ubc95: glm.fit: \uc54c\uace0\ub9ac\uc998\uc774 \uc218\ub834\ub418\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4."},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R\uc5d0\uc11c \uc811\ud560 \uc218 \uc788\ub294 \uc77c\ubc18\uc801\uc778 \uacbd\uace0\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>glm.fit: algorithm did not converge\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uacbd\uace0\ub294 R\uc5d0 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\uc6a9\ud558\uace0 <strong>\uc644\ubcbd\ud55c \ubd84\ub9ac\ub97c<\/strong> \ud655\uc778\ud558\ub824\uace0 \ud560 \ub54c \uc790\uc8fc \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \uc989, \uc608\uce21 \ubcc0\uc218\uac00 \uc751\ub2f5 \ubcc0\uc218\ub97c 0\uacfc 1\ub85c \uc644\ubcbd\ud558\uac8c \ubd84\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uacbd\uace0\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uacbd\uace0\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">R\uc5d0 \ub2e4\uc74c\uacfc \uac19\uc740 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(.1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1, 1.1, 1.3, 1.5, 1.7),\n                 y=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1))\n\n<span style=\"color: #008080;\">#attempt to fit logistic regression model\n<\/span>glm(y~x, data=df, family=\" <span style=\"color: #ff0000;\">binomial<\/span> \")\n\nCall: glm(formula = y ~ x, family = \"binomial\", data = df)\n\nCoefficients:\n(Intercept)x  \n     -409.1 431.1  \n\nDegrees of Freedom: 14 Total (ie Null); 13 Residual\nNull Deviance: 20.19 \nResidual Deviance: 2.468e-09 AIC: 4\nWarning messages:\n1: glm.fit: algorithm did not converge \n2: glm.fit: fitted probabilities numerically 0 or 1 occurred \n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacbd\uace0 \uba54\uc2dc\uc9c0\uac00 \ud45c\uc2dc\ub429\ub2c8\ub2e4. <strong>glm.fit: \uc54c\uace0\ub9ac\uc998\uc774 \uc218\ub834\ub418\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uba54\uc2dc\uc9c0\ub97c \ubc1b\ub294 \uc774\uc720\ub294 \uc608\uce21 \ubcc0\uc218 x\uac00 \uc751\ub2f5 \ubcc0\uc218 y\ub97c 0\uacfc 1\ub85c \uc644\ubcbd\ud558\uac8c \ubd84\ub9ac\ud560 \uc218 \uc788\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">1\ubcf4\ub2e4 \uc791\uc740 \ubaa8\ub4e0 x \uac12\uc5d0 \ub300\ud574 y\ub294 0\uacfc \uac19\uc2b5\ub2c8\ub2e4. \uadf8\ub9ac\uace0 1\ubcf4\ub2e4 \ud06c\uac70\ub098 \uac19\uc740 \ubaa8\ub4e0 x \uac12\uc5d0 \ub300\ud574 y\ub294 1\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc608\uce21 \ubcc0\uc218\uac00 \uc751\ub2f5 \ubcc0\uc218\ub97c 0\uacfc 1\ub85c \uc644\ubcbd\ud558\uac8c \ubd84\ub9ac\ud560 \uc218 \uc5c6\ub294 \uc2dc\ub098\ub9ac\uc624\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(.1, .2, .3, .4, .5, .6, .7, .8, .9, 1, 1, 1.1, 1.3, 1.5, 1.7),\n                 y=c(0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1))\n\n<span style=\"color: #008080;\">#fit logistic regression model\n<\/span>glm(y~x, data=df, family=\" <span style=\"color: #ff0000;\">binomial<\/span> \")\n\nCall: glm(formula = y ~ x, family = \"binomial\", data = df)\n\nCoefficients:\n(Intercept) x  \n     -2.112 2.886  \n\nDegrees of Freedom: 14 Total (ie Null); 13 Residual\nNull Deviance: 20.73 \nResidual Deviance: 16.31 AIC: 20.31\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc608\uce21 \ubcc0\uc218\uac00 \uc751\ub2f5 \ubcc0\uc218\ub97c 0\uacfc 1\ub85c \uc644\ubcbd\ud558\uac8c \ubd84\ub9ac\ud560 \uc218 \uc5c6\uae30 \ub54c\ubb38\uc5d0 \uacbd\uace0 \uba54\uc2dc\uc9c0\uac00 \ud45c\uc2dc\ub418\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uacbd\uace0\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc644\ubcbd\ud55c \ubd84\ub9ac \uc2dc\ub098\ub9ac\uc624\uac00 \ubc1c\uc0dd\ud558\ub294 \uacbd\uc6b0 \uc774\ub97c \ucc98\ub9ac\ud558\ub294 \ub450 \uac00\uc9c0 \ubc29\ubc95\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \ud398\ub110\ud2f0 \ud68c\uadc0\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud55c \uac00\uc9c0 \uc635\uc158\uc740 \uc62c\uac00\ubbf8 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ub610\ub294 \ud0c4\ub825\uc801 \ub124\ud2b8\uc6cc\ud06c \uc815\uaddc\ud654\uc640 \uac19\uc740 \ud398\ub110\ud2f0 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ud615\ud0dc\ub97c \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">R\uc5d0\uc11c \ud398\ub110\ud2f0 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\ub97c \uad6c\ud604\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uc635\uc158\uc740 <a href=\"https:\/\/cran.r-project.org\/web\/packages\/glmnet\/glmnet.pdf\" target=\"_blank\" rel=\"noopener\">glmnet<\/a> \ud328\ud0a4\uc9c0\ub97c \ucc38\uc870\ud558\uc138\uc694.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: \uc608\uce21 \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc18\uc751 \ubcc0\uc218\ub97c \uc644\ubcbd\ud558\uac8c \uc608\uce21\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ub7ec\ud55c \uc644\ubcbd\ud55c \ubd84\ub9ac\uac00 \ubaa8\uc9d1\ub2e8\uc5d0 \uc874\uc7ac\ud560 \uc218 \uc788\ub2e4\uace0 \uc758\uc2ec\ub418\ub294 \uacbd\uc6b0 \uac04\ub2e8\ud788 \uc774 \uc608\uce21 \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubc18\uc751 \ubcc0\uc218\uc758 \uac12\uc744 \uc644\ubcbd\ud558\uac8c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, \uc704 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c\ub294 \uc608\uce21 \ubcc0\uc218 <strong>x\uac00<\/strong> 1\ubcf4\ub2e4 \uc791\uc744 \ub54c \uc751\ub2f5 \ubcc0\uc218 <strong>y<\/strong> \uac00 \ud56d\uc0c1 0\uacfc \uac19\uc74c\uc744 \ud655\uc778\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uad00\uacc4\uac00 \uc804\uccb4 \ubaa8\uc9d1\ub2e8\uc5d0 \uc801\uc6a9\ub41c\ub2e4\uace0 \uc758\uc2ec\ub418\uba74 <strong>x<\/strong> \uac00 1\ubcf4\ub2e4 \uc791\uc744 \ub54c <strong>y<\/strong> \uac12\uc774 0\uc774 \ub420 \uac83\uc774\ub77c\uace0 \ud56d\uc0c1 \uc608\uce21\ud560 \uc218 \uc788\uc73c\uba70 \ud398\ub110\ud2f0 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub9de\ucd94\ub294 \uac83\uc5d0 \ub300\ud574 \uac71\uc815\ud560 \ud544\uc694\uac00 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c <strong>glm()<\/strong> \ud568\uc218 \uc0ac\uc6a9\uc5d0 \ub300\ud55c \ucd94\uac00 \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-glm-\u1103\u1162-lm\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c glm\uacfc lm\uc758 \ucc28\uc774\uc810<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r-glm-\u110b\u1168\u110e\u1173\u11a8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c glm\uacfc \ud568\uaed8 \uc608\uce21 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/glm-fit-\u110c\u1165\u11a8\u1112\u1161\u11b8-\u1112\u116a\u11a8\u1105\u1172\u11af\u110b\u1173\u11ab-\u1109\u116e\u110e\u1175\u110c\u1165\u11a8\u110b\u1173\u1105\u1169-0-\u1104\u1169\u1102\u1173\u11ab-1\u110b\u1175-\u1107\u1161\u11af\u1109\u1162\u11bc\u1112\u1162\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">\ucc98\ub9ac \ubc29\ubc95: glm.fit: \uc218\uce58\uc801\uc73c\ub85c \uc870\uc815\ub41c \ud655\ub960 0 \ub610\ub294 1 \ubc1c\uc0dd<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R\uc5d0\uc11c \uc811\ud560 \uc218 \uc788\ub294 \uc77c\ubc18\uc801\uc778 \uacbd\uace0\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. glm.fit: algorithm did not converge \uc774 \uacbd\uace0\ub294 R\uc5d0 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\uc6a9\ud558\uace0 \uc644\ubcbd\ud55c \ubd84\ub9ac\ub97c \ud655\uc778\ud558\ub824\uace0 \ud560 \ub54c \uc790\uc8fc \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \uc989, \uc608\uce21 \ubcc0\uc218\uac00 \uc751\ub2f5 \ubcc0\uc218\ub97c 0\uacfc 1\ub85c \uc644\ubcbd\ud558\uac8c \ubd84\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uacbd\uace0\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uacbd\uace0\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95 R\uc5d0 \ub2e4\uc74c\uacfc \uac19\uc740 \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0 \ubaa8\ub378\uc744 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-2253","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R \uacbd\uace0 \ucc98\ub9ac \ubc29\ubc95: glm.fit: \uc54c\uace0\ub9ac\uc998\uc774 \uc218\ub834\ub418\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4. - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \ub2e4\uc74c \uacbd\uace0 \uba54\uc2dc\uc9c0\ub97c \ucc98\ub9ac\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. glm.fit: \uc54c\uace0\ub9ac\uc998\uc774 \uc218\ub834\ub418\uc9c0 \uc54a\uc558\uc2b5\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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