{"id":3012,"date":"2023-07-19T15:30:27","date_gmt":"2023-07-19T15:30:27","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%ac%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%92%e1%85%aa-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae\/"},"modified":"2023-07-19T15:30:27","modified_gmt":"2023-07-19T15:30:27","slug":"r%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%ac%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%92%e1%85%aa-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%ac%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%92%e1%85%aa-%e1%84%92%e1%85%a1%e1%86%b7%e1%84%89%e1%85%ae\/","title":{"rendered":"R\uc5d0\uc11c optim \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c 2\uac1c)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\uc77c\ubc18\uc801\uc778 \ucd5c\uc801\ud654\ub97c \uc704\ud574 R\uc758 <strong>optim<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud568\uc218\ub294 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>optim(by, fn, data, ...)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>by<\/strong> : \ucd5c\uc801\ud654\ud560 \ub9e4\uac1c\ubcc0\uc218\uc758 \ucd08\uae30\uac12<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>fn<\/strong> : \ucd5c\uc18c\ud654\ud558\uac70\ub098 \ucd5c\ub300\ud654\ud558\ub294 \ud568\uc218<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>data<\/strong> : \ub370\uc774\ud130\ub97c \ud3ec\ud568\ud558\ub294 R\uc758 \uac1d\uccb4 \uc774\ub984<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c \uc774 \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong> \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218\ub97c \ucc3e\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> 2\ucc28 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218\ub97c \ucc3e\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uac11\uc2dc\ub2e4!<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 1: \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218 \ucc3e\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>optim()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc794\ucc28 \uc81c\uacf1\ud569\uc744 \ucd5c\uc18c\ud654\ud558\uc5ec \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218\ub97c \ucc3e\ub294 \ubc29\ubc95\uc744 \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.frame(x=c(1, 3, 3, 5, 6, 7, 9, 12),\n                 y=c(4, 5, 8, 6, 9, 10, 13, 17))\n\n<span style=\"color: #008080;\">#define function to minimize residual sum of squares\n<\/span>min_residuals &lt;- <span style=\"color: #008000;\">function<\/span> (data, par) {\n                   <span style=\"color: #008000;\">with<\/span> (data, sum((par[1] + par[2] * x - y)^2))\n}\n\n<span style=\"color: #008080;\">#find coefficients of linear regression model\n<\/span>optim(par=c(0, 1), fn=min_residuals, data=df)\n\n$by\n[1] 2.318592 1.162012\n\n$value\n[1] 11.15084\n\n$counts\nfunction gradient \n      79 NA \n\n$convergence\n[1] 0\n\n$message\nNULL\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>$par<\/strong> \uc544\ub798\uc5d0 \ubc18\ud658\ub41c \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c\uacfc \uac19\uc740 \uc801\ud569 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc791\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = 2.318 + 1.162x<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud68c\uadc0 \uacc4\uc218\ub97c \uacc4\uc0b0\ud558\uae30 \uc704\ud574 R\uc5d0 \ub0b4\uc7a5\ub41c <strong>lm()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\uac83\uc774 \uc62c\ubc14\ub978\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find coefficients of linear regression model using lm() function\n<span style=\"color: #000000;\">lm(y ~ x, data=df)\n\nCall:\nlm(formula = y ~ x, data = df)\n\nCoefficients:\n(Intercept) x  \n      2,318 1,162\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uacc4\uc218 \uac12\uc740 <strong>optim()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uacc4\uc0b0\ud55c \uac12\uacfc \uc77c\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: 2\ucc28 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218 \ucc3e\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <strong>optim()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc794\ucc28 \uc81c\uacf1\ud569\uc744 \ucd5c\uc18c\ud654\ud558\uc5ec <a href=\"https:\/\/statorials.org\/ko\/2\u110e\u1161-\u1112\u116c\u1100\u1171-r\/\" target=\"_blank\" rel=\"noopener\">2\ucc28 \ud68c\uadc0 \ubaa8\ub378<\/a> \uc758 \uacc4\uc218\ub97c \ucc3e\ub294 \ubc29\ubc95\uc744 \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;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(6, 9, 12, 14, 30, 35, 40, 47, 51, 55, 60),\n                 y=c(14, 28, 50, 70, 89, 94, 90, 75, 59, 44, 27))<\/span>\n\n<span style=\"color: #000000;\"><span style=\"color: #008080;\">#define function to minimize residual sum of squares\n<\/span>min_residuals &lt;- <span style=\"color: #008000;\">function<\/span> (data, par) {\n                   <span style=\"color: #008000;\">with<\/span> (data, sum((par[1] + par[2]*x + par[3]*x^2 - y)^2))\n}\n\n<span style=\"color: #008080;\">#find coefficients of quadratic regression model\n<\/span>optim(par=c(0, 0, 0), fn=min_residuals, data=df)\n\n$by\n[1] -18.261320 6.744531 -0.101201\n\n$value\n[1] 309.3412\n\n$counts\nfunction gradient \n     218 NA \n\n$convergence\n[1] 0\n\n$message\nNULL<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>$par<\/strong> \uc544\ub798\uc5d0 \ubc18\ud658\ub41c \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc74c\uacfc \uac19\uc740 \uc801\ud569 2\ucc28 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc791\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">y = -18.261 + 6.744x \u2013 0.101x <sup>2<\/sup><\/span><\/p>\n<p> <span style=\"color: #000000;\">R\uc5d0 \ub0b4\uc7a5\ub41c <strong>lm()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\uac83\uc774 \uc62c\ubc14\ub978\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\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(6, 9, 12, 14, 30, 35, 40, 47, 51, 55, 60),\n                 y=c(14, 28, 50, 70, 89, 94, 90, 75, 59, 44, 27))\n\n<span style=\"color: #008080;\">#create a new variable for x^2\n<\/span>df$x2 &lt;- df$x^2\n\n<span style=\"color: #008080;\">#fit quadratic regression model\n<\/span>quadraticModel &lt;- lm(y ~ x + x2, data=df)\n\n<span style=\"color: #008080;\">#display coefficients of quadratic regression model\n<\/span>summary(quadraticModel)$coef\n\n               Estimate Std. Error t value Pr(&gt;|t|)\n(Intercept) -18.2536400 6.185069026 -2.951243 1.839072e-02\nx 6.7443581 0.485515334 13.891133 6.978849e-07\nx2 -0.1011996 0.007460089 -13.565470 8.378822e-07<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \uacc4\uc218 \uac12\uc740 <strong>optim()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uacc4\uc0b0\ud55c \uac12\uacfc \uc77c\uce58\ud569\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 \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1103\u1161\u11ab\u1109\u116e\u11ab-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1112\u116c\u1100\u1171-\u110e\u116e\u11af\u1105\u1167\u11a8-\u1112\u1162\u1109\u1165\u11a8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ud68c\uadc0 \ucd9c\ub825\uc744 \ud574\uc11d\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc77c\ubc18\uc801\uc778 \ucd5c\uc801\ud654\ub97c \uc704\ud574 R\uc758 optim \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud568\uc218\ub294 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. optim(by, fn, data, &#8230;) \uae08: by : \ucd5c\uc801\ud654\ud560 \ub9e4\uac1c\ubcc0\uc218\uc758 \ucd08\uae30\uac12 fn : \ucd5c\uc18c\ud654\ud558\uac70\ub098 \ucd5c\ub300\ud654\ud558\ub294 \ud568\uc218 data : \ub370\uc774\ud130\ub97c \ud3ec\ud568\ud558\ub294 R\uc758 \uac1d\uccb4 \uc774\ub984 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c \uc774 \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. 1. \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 \uacc4\uc218\ub97c \ucc3e\uc2b5\ub2c8\ub2e4. 2. 2\ucc28 \ud68c\uadc0 [&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-3012","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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