{"id":2479,"date":"2023-07-22T02:13:43","date_gmt":"2023-07-22T02:13:43","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8c%e1%85%a9%e1%84%80%e1%85%a1%e1%86%a8%e1%84%87%e1%85%a7%e1%86%af-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1\/"},"modified":"2023-07-22T02:13:43","modified_gmt":"2023-07-22T02:13:43","slug":"r%e1%84%8b%e1%85%b4-%e1%84%8c%e1%85%a9%e1%84%80%e1%85%a1%e1%86%a8%e1%84%87%e1%85%a7%e1%86%af-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%8c%e1%85%a9%e1%84%80%e1%85%a1%e1%86%a8%e1%84%87%e1%85%a7%e1%86%af-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1\/","title":{"rendered":"R\uc5d0\uc11c \uc870\uac01\ubcc4 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc870\uac01\ubcc4 \ud68c\uadc0\ub294<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \uba85\ud655\ud55c &#8220;\uc911\ub2e8\uc810&#8221;\uc774 \uc788\uc744 \ub54c \uc790\uc8fc \uc0ac\uc6a9\ud558\ub294 \ud68c\uadc0 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\uc5d0\uc11c\ub294 R\uc5d0\uc11c \uc870\uac01\ubcc4 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 \ub2e4\uc74c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view DataFrame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16),\n                 y=c(2, 4, 5, 6, 8, 10, 12, 13, 15, 19, 24, 28, 31, 34, 39, 44))\n\n<span style=\"color: #008080;\">#view first six rows of data frame<\/span>\nhead(df)\n\n  xy\n1 1 2\n2 2 4\n3 3 5\n4 4 6\n5 5 8\n6 6 10\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \ub370\uc774\ud130 \uc2dc\uac01\ud654<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c, \ub370\uc774\ud130\ub97c \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud55c \uc0b0\uc810\ub3c4\ub97c \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create scatterplot of x vs. y\n<\/span>plot(df$x, df$y, pch= <span style=\"color: #008000;\">16<\/span> , col=' <span style=\"color: #3366ff;\">steelblue<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-22180 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/seg1.png\" alt=\"\" width=\"452\" height=\"409\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">x\uc640 y \uc0ac\uc774\uc758 \uad00\uacc4\uac00 <strong>x = 9<\/strong> \ubd80\uadfc\uc5d0\uc11c \uac11\uc790\uae30 \ubcc0\ud558\ub294 \uac83\ucc98\ub7fc \ubcf4\uc774\ub294 \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \uc870\uac01\ubcc4 \ud68c\uadc0 \ubaa8\ub378 \ud53c\ud305<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">R\uc758 <a href=\"https:\/\/cran.r-project.org\/web\/packages\/segmented\/segmented.pdf\" target=\"_blank\" rel=\"noopener\">\ubd84\ud560\ub41c<\/a> \ud328\ud0a4\uc9c0\uc5d0 \uc788\ub294 <strong>\ubd84\ud560()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc870\uac01\ubcc4 \ud68c\uadc0 \ubaa8\ub378\uc744 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub9de\ucd9c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (segmented)\n\n<span style=\"color: #008080;\">#fit simple linear regression model<\/span>\nfit &lt;- lm(y ~ x, data=df)\n\n<span style=\"color: #008080;\">#fit piecewise regression model to original model, estimating a breakpoint at x=9\n<\/span>segmented. <span style=\"color: #3366ff;\">fit<\/span> &lt;- segmented(fit, seg.Z = ~x, psi= <span style=\"color: #008000;\">9<\/span> )\n\n<span style=\"color: #008080;\">#view summary of segmented model\n<\/span>summary( <span style=\"color: #3366ff;\">segmented.fit<\/span> )\n\nCall: \nsegmented.lm(obj = fit, seg.Z = ~x, psi = 9)\n\nEstimated Break-Point(s):\n         East. St.Err\npsi1.x 8.762 0.26\n\nMeaningful coefficients of the linear terms:\n            Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept) 0.32143 0.48343 0.665 0.519    \nx 1.59524 0.09573 16.663 1.16e-09 ***\nU1.x 2.40476 0.13539 17.762 NA    \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\nResidual standard error: 0.6204 on 12 degrees of freedom\nMultiple R-Squared: 0.9983, Adjusted R-squared: 0.9978 \n\nConvergence achieved in 2 iter. (rel. changes 0)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>Segmented()<\/strong> \ud568\uc218\ub294 x = 8.762\uc5d0\uc11c \uc911\ub2e8\uc810\uc744 \uac10\uc9c0\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc801\ud569 \uc870\uac01\ubcc4 \ud68c\uadc0 \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">x \u2264 8.762\uc778 \uacbd\uc6b0: y = 0.32143 + 1.59524*(x)<\/span><\/p>\n<p> <span style=\"color: #000000;\">x &gt; 8.762\uc778 \uacbd\uc6b0: y = 0.32143 + 1.59524*(8.762) + (1.59524+2.40476)*(x-8.762)<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4 <strong>x = 5<\/strong> \uac12\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \uc608\uc0c1 \uac12\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">y = 0.32143 + 1.59524*(x)<\/span><\/li>\n<li> <span style=\"color: #000000;\">y = 0.32143 + 1.59524*(5)<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc640\uc774 = <strong>8.297<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub610\ub294 <strong>x = 12<\/strong> \uac12\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \uc608\uc0c1 \uac12\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">y = 0.32143 + 1.59524*(8.762) + (1.59524+2.40476)*(12-8.762)<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc640\uc774 = <strong>27.25<\/strong><\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>4\ub2e8\uacc4: \ucd5c\uc885 \uc870\uac01\ubcc4 \ud68c\uadc0 \ubaa8\ub378 \uc2dc\uac01\ud654<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc6d0\ubcf8 \ub370\uc774\ud130 \uc704\uc5d0 \ucd5c\uc885 \uc870\uac01\ubcc4 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#plot original data<\/span>\nplot(df$x, df$y, pch= <span style=\"color: #008000;\">16<\/span> , col=' <span style=\"color: #ff0000;\">steelblue<\/span> ')\n\n<span style=\"color: #008080;\">#add segmented regression model<\/span>\nplot(segmented. <span style=\"color: #3366ff;\">fit<\/span> , add= <span style=\"color: #008000;\">T<\/span> )\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-22181 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/seg2.png\" alt=\"\" width=\"455\" height=\"414\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc870\uac01\ubcc4 \ud68c\uadc0 \ubaa8\ub378\uc774 \ub370\uc774\ud130\uc5d0 \ub9e4\uc6b0 \uc798 \ub9de\ub294 \uac83\uc73c\ub85c \ubcf4\uc785\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\uc740 R\uc758 \ud68c\uadc0 \ubaa8\ub378\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-\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 \/> R\uc5d0\uc11c \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1107\u116e\u11ab\u110b\u1171\u1109\u116e-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ubd84\uc704\uc218 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1100\u1161\u110c\u116e\u11bc-\u110e\u116c\u1109\u1169-\u110c\u1166\u1100\u1169\u11b8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uac00\uc911 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc870\uac01\ubcc4 \ud68c\uadc0\ub294 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \uba85\ud655\ud55c &#8220;\uc911\ub2e8\uc810&#8221;\uc774 \uc788\uc744 \ub54c \uc790\uc8fc \uc0ac\uc6a9\ud558\ub294 \ud68c\uadc0 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\uc5d0\uc11c\ub294 R\uc5d0\uc11c \uc870\uac01\ubcc4 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. 1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131 \uba3c\uc800 \ub2e4\uc74c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. #view DataFrame df &lt;- data. frame (x=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16), y=c(2, 4, 5, [&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-2479","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\uc5d0\uc11c \uc870\uac01\ubcc4 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4) - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e8\uacc4\ubcc4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec R\uc5d0\uc11c \uc870\uac01\ubcc4 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\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\/ko\/r\u110b\u1174-\u110c\u1169\u1100\u1161\u11a8\u1107\u1167\u11af-\u1112\u116c\u1100\u1171\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R\uc5d0\uc11c \uc870\uac01\ubcc4 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\ub2e8\uacc4\ubcc4) - \ud1b5\uacc4\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e8\uacc4\ubcc4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec R\uc5d0\uc11c \uc870\uac01\ubcc4 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 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