{"id":1599,"date":"2023-07-25T17:06:19","date_gmt":"2023-07-25T17:06:19","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%a6-%e1%84%8b%e1%85%a8%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba%e1%84%92%e1%85%a1\/"},"modified":"2023-07-25T17:06:19","modified_gmt":"2023-07-25T17:06:19","slug":"r%e1%84%8b%e1%85%a6-%e1%84%8b%e1%85%a8%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba%e1%84%92%e1%85%a1","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%a6-%e1%84%8b%e1%85%a8%e1%84%8e%e1%85%b3%e1%86%a8%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba%e1%84%92%e1%85%a1\/","title":{"rendered":"R\uc5d0\uc11c \uc608\uce21\uac12\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\uc608\uce21\ub41c \uac12\uacfc \uc2e4\uc81c \uac12 \uc0ac\uc774\uc758 \ucc28\uc774\ub97c \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud574 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc608\uce21\ub41c \uac12\uc744 R\ub85c \ud50c\ub86f\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R \ubc0f ggplot2\uc5d0\uc11c \uc774\ub7ec\ud55c \uc720\ud615\uc758 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 1: \uae30\ubcf8 R\uc5d0 \uc608\uce21\uac12\uacfc \uc2e4\uc81c\uac12 \ud50c\ub86f\ud305<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 R\uc5d0 <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u110c\u116e\u11bc-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">\ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744<\/a> \uc801\uc6a9\ud55c \ub2e4\uc74c \uc608\uce21 \uac12\uacfc \uc2e4\uc81c \uac12\uc758 \ud50c\ub86f\uc744 \ub9cc\ub4dc\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;\">#create data<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x1=c(3, 4, 4, 5, 5, 6, 7, 8, 11, 12),\n                 x2=c(6, 6, 7, 7, 8, 9, 11, 13, 14, 14),\n                 y=c(22, 24, 24, 25, 25, 27, 29, 31, 32, 36))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(y ~ x1 + x2, data=df)\n\n<span style=\"color: #008080;\">#plot predicted vs. actual values\n<\/span>plot(x=predict(model), y=df$y,\n     xlab=' <span style=\"color: #ff0000;\">Predicted Values<\/span> ',\n     ylab=' <span style=\"color: #ff0000;\">Actual Values<\/span> ',\n     main=' <span style=\"color: #ff0000;\">Predicted vs. Actual Values<\/span> ')\n\n<span style=\"color: #008080;\">#add diagonal line for estimated regression line\n<\/span>abline(a= <span style=\"color: #008000;\">0<\/span> , b= <span style=\"color: #008000;\">1<\/span> )\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15912 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/preditr1.png\" alt=\"R\uc5d0 \uc608\uce21\uac12 \uadf8\ub9ac\uae30\" width=\"444\" height=\"439\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">X\ucd95\uc740 \ubaa8\ub378\uc758 \uc608\uce21\uac12\uc744 \ud45c\uc2dc\ud558\uace0 Y\ucd95\uc740 \ub370\uc774\ud130\uc138\ud2b8\uc758 \uc2e4\uc81c\uac12\uc744 \ud45c\uc2dc\ud569\ub2c8\ub2e4. \uadf8\ub798\ud504 \uc911\uc559\uc758 \ub300\uac01\uc120\uc740 \ucd94\uc815 \ud68c\uadc0\uc120\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uac01 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uac00 \ucd94\uc815 \ud68c\uadc0\uc120\uc5d0 \ub9e4\uc6b0 \uac00\uae5d\uae30 \ub54c\ubb38\uc5d0 \uc774\ub294 \ud68c\uadc0 \ubaa8\ub378\uc774 \ub370\uc774\ud130\ub97c \uc0c1\ub2f9\ud788 \uc798 \ud53c\ud305\ud558\uace0 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \uac01 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc5d0 \ub300\ud55c \uc2e4\uc81c \uac12\uacfc \uc608\uce21 \uac12\uc744 \ud45c\uc2dc\ud558\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub9cc\ub4e4 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame of actual and predicted values<\/span>\nvalues &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (actual=df$y, predicted=predict(model))\n\n<span style=\"color: #008080;\">#view data frame<\/span>\nvalues\n\n   actual predicted\n1 22 22.54878\n2 24 23.56707\n3 24 23.96341\n4 25 24.98171\n5 25 25.37805\n6 27 26.79268\n7 29 28.60366\n8 31 30.41463\n9 32 33.86585\n10 36 34.88415\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: ggplot2\uc5d0\uc11c \uc608\uce21 \uac12\uacfc \uc2e4\uc81c \uac12 \ud50c\ub86f\ud305<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 <a href=\"https:\/\/ggplot2.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a> \ub370\uc774\ud130 \uc2dc\uac01\ud654 \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21 \uac12\uacfc \uc2e4\uc81c \uac12\uc758 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\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: #993300;\">library<\/span> (ggplot2) \n<\/span>\n#create data<\/span>\ndf &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x1=c(3, 4, 4, 5, 5, 6, 7, 8, 11, 12),\n                 x2=c(6, 6, 7, 7, 8, 9, 11, 13, 14, 14),\n                 y=c(22, 24, 24, 25, 25, 27, 29, 31, 32, 36))\n\n<span style=\"color: #008080;\">#fit multiple linear regression model\n<\/span>model &lt;- lm(y ~ x1 + x2, data=df)\n\n<span style=\"color: #008080;\">#plot predicted vs. actual values\n<\/span>ggplot(df, <span style=\"color: #3366ff;\">aes<\/span> (x=predict(model), y=y)) + \n  geom_point() +\n  geom_abline(intercept= <span style=\"color: #008000;\">0<\/span> , slope= <span style=\"color: #008000;\">1<\/span> ) +\n  labs(x=' <span style=\"color: #ff0000;\">Predicted Values<\/span> ', y=' <span style=\"color: #ff0000;\">Actual Values<\/span> ', title=' <span style=\"color: #ff0000;\">Predicted vs. Actual Values<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-15915 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/preditr2.png\" alt=\"\" width=\"432\" height=\"436\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc774\ubc88\uc5d0\ub3c4 X\ucd95\uc740 \ubaa8\ub378\uc758 \uc608\uce21\uac12\uc744 \ub098\ud0c0\ub0b4\uace0, Y\ucd95\uc740 \ub370\uc774\ud130\uc138\ud2b8\uc758 \uc2e4\uc81c\uac12\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1161\u11ab\u110b\u1167-\u110e\u116e\u110c\u1165\u11a8-r\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u110c\u1161\u11ab\u110e\u1161-\u1112\u1175\u1109\u1173\u1110\u1169\u1100\u1173\u1105\u1162\u11b7\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc794\ucc28 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u1105\u1169-\u1111\u116d\u110c\u116e\u11ab\u1112\u116a\u1103\u116c\u11ab-\u110c\u1161\u11ab\u1105\u1172\u1106\u116e\u11af\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ud45c\uc900\ud654 \uc794\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc608\uce21\ub41c \uac12\uacfc \uc2e4\uc81c \uac12 \uc0ac\uc774\uc758 \ucc28\uc774\ub97c \uc2dc\uac01\ud654\ud558\uae30 \uc704\ud574 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc608\uce21\ub41c \uac12\uc744 R\ub85c \ud50c\ub86f\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R \ubc0f ggplot2\uc5d0\uc11c \uc774\ub7ec\ud55c \uc720\ud615\uc758 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \uc608\uc2dc 1: \uae30\ubcf8 R\uc5d0 \uc608\uce21\uac12\uacfc \uc2e4\uc81c\uac12 \ud50c\ub86f\ud305 \ub2e4\uc74c \ucf54\ub4dc\ub294 R\uc5d0 \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\uc6a9\ud55c \ub2e4\uc74c \uc608\uce21 \uac12\uacfc \uc2e4\uc81c \uac12\uc758 \ud50c\ub86f\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. #create data df [&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-1599","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 \uc608\uce21\uac12\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\ub97c \ud1b5\ud574 R\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc758 \uc608\uce21 \uac12\uc744 \ud50c\ub86f\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\u1166-\u110b\u1168\u110e\u1173\u11a8\u1100\u1161\u11b9\u110b\u1173\u11af-\u1111\u1173\u11af\u1105\u1169\u11ba\u1112\u1161\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R\uc5d0\uc11c \uc608\uce21\uac12\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\ub97c \ud1b5\ud574 R\uc5d0\uc11c \ud68c\uadc0 \ubaa8\ub378\uc758 \uc608\uce21 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