{"id":3790,"date":"2023-07-15T12:43:29","date_gmt":"2023-07-15T12:43:29","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%8c%e1%85%a1%e1%86%ab%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b3-ggplot2\/"},"modified":"2023-07-15T12:43:29","modified_gmt":"2023-07-15T12:43:29","slug":"%e1%84%8c%e1%85%a1%e1%86%ab%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b3-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%8c%e1%85%a1%e1%86%ab%e1%84%8e%e1%85%a1-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b3-ggplot2\/","title":{"rendered":"Ggplot2\uc5d0\uc11c \uc794\ucc28 \ub3c4\ud45c\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\uc794\ucc28 \ub3c4\ud45c\ub294<\/strong> \ud68c\uadc0 \ubaa8\ub378\uc758 <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1161\u11ab\u110b\u1167\u1106\u116e\u11af\/\" target=\"_blank\" rel=\"noopener\">\uc794\ucc28\uac00<\/a> \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \uc5ec\ubd80\uc640 <a href=\"https:\/\/statorials.org\/ko\/\u110b\u1175\u1107\u116e\u11ab\u1109\u1161\u11ab\u1109\u1165\u11bc-\u1112\u116c\u1100\u1171\/\" target=\"_blank\" rel=\"noopener\">\uc774\ubd84\uc0b0\uc131\uc744<\/a> \ub098\ud0c0\ub0b4\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud3c9\uac00\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">ggplot2\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\nggplot(model, aes(x = .fitted, y = .resid)) +\n  geom_point() +\n  geom_hline(yintercept = <span style=\"color: #008000;\">0<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h2> <strong>\uc608: ggplot2\uc5d0\uc11c \uc794\ucc28 \ub3c4\ud45c \uc0dd\uc131<\/strong><\/h2>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 R\uc5d0 \ub0b4\uc7a5\ub41c <a href=\"https:\/\/statorials.org\/ko\/mtcars-r-\u1103\u1166\u110b\u1175\u1110\u1165-\u1109\u1166\u1110\u1173\/\" target=\"_blank\" rel=\"noopener\">mtcars<\/a> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of mtcars dataset<\/span>\nhead(mtcars)\n                   mpg cyl disp hp drat wt qsec vs am gear carb\nMazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4\nMazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4\nDatsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1\nHornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1\nHornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2\nValiant 18.1 6 225 105 2.76 3,460 20.22 1 0 3 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 <strong>mpg\ub97c<\/strong> \uc751\ub2f5 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 <b>qsec\ub97c<\/b> \uc608\uce21 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378\uc744 \uc801\ud569\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit regression model<\/span>\nmodel &lt;- lm(mpg ~ qsec, data=mtcars)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c\uc73c\ub85c, \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec ggplot2\uc5d0 \uc794\ucc28 \ud50c\ub86f\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create residual plot\n<\/span>ggplot(model, aes(x = .fitted, y = .resid)) +\n  geom_point() +\n  geom_hline(yintercept = <span style=\"color: #008000;\">0<\/span> )<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-30786\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ajustement1.jpg\" alt=\"ggplot2\uc758 \uc794\ucc28 \ud50c\ub86f\" width=\"569\" height=\"440\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">x\ucd95\uc740 \uc801\ud569\uce58\ub97c \ud45c\uc2dc\ud558\uace0 y\ucd95\uc740 \uc794\ucc28\ub97c \ud45c\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc794\ucc28\ub294 \uba85\ud655\ud55c \ud328\ud134 \uc5c6\uc774 0 \uc8fc\uc704\uc5d0 \ubb34\uc791\uc704\ub85c \ud769\uc5b4\uc838 \uc788\ub294 \uac83\uc73c\ub85c \ub098\ud0c0\ub098 \ub4f1\ubd84\uc0b0\uc131 \uac00\uc815\uc774 \ucda9\uc871\ub428\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc989, \ud68c\uadc0 \ubaa8\ub378\uc758 <a href=\"https:\/\/statorials.org\/ko\/\u1112\u116c\u1100\u1171-\u1100\u1168\u1109\u116e\u1105\u1173\u11af-\u1112\u1162\u1109\u1165\u11a8\u1112\u1161\u1102\u1173\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\/\" target=\"_blank\" rel=\"noopener\">\uacc4\uc218\ub294<\/a> \uc2e0\ub8b0\ud560 \uc218 \uc788\uc5b4\uc57c \ud558\uba70 \ub370\uc774\ud130\uc5d0 \ub300\ud55c <a href=\"https:\/\/statorials.org\/ko\/\u1103\u1166\u110b\u1175\u1110\u1165\u1105\u1173\u11af-r\u1105\u1169-\u1107\u1167\u11ab\u1112\u116a\u11ab\/\" target=\"_blank\" rel=\"noopener\">\ubcc0\ud658\uc744<\/a> \uc218\ud589\ud560 \ud544\uc694\uac00 \uc5c6\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c <strong>labs()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc794\ucc28 \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uacfc \ucd95 \ub808\uc774\ube14\uc744 \ucd94\uac00\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create residual plot with title and axis labels\n<\/span>ggplot(model, aes(x = .fitted, y = .resid)) +\n  geom_point() +\n  geom_hline(yintercept = <span style=\"color: #008000;\">0<\/span> ) +\n  labs(title=' <span style=\"color: #ff0000;\">Residual vs. Fitted Values Plot<\/span> ', x=' <span style=\"color: #ff0000;\">Fitted Values<\/span> ', y=' <span style=\"color: #ff0000;\">Residuals<\/span> ')<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-30787\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ajustement2.jpg\" alt=\"ggplot2 \ucd95 \ub808\uc774\ube14\uc774 \uc788\ub294 \uc794\ucc28 \ub300 \uc801\ud569\uce58 \ud50c\ub86f\" width=\"532\" height=\"406\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\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\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><br \/> <a href=\"https:\/\/statorials.org\/ko\/r-\u1112\u1161\u11a8\u1109\u1162\u11bc\u110b\u1174-\u110c\u1161\u11ab\u1100\u1175\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc2a4\ud29c\ub358\ud2b8\ud654 \uc794\ucc28\ub97c \uacc4\uc0b0\ud558\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><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc794\ucc28 \ub3c4\ud45c\ub294 \ud68c\uadc0 \ubaa8\ub378\uc758 \uc794\ucc28\uac00 \uc815\uaddc \ubd84\ud3ec\ub97c \ub530\ub974\ub294\uc9c0 \uc5ec\ubd80\uc640 \uc774\ubd84\uc0b0\uc131\uc744 \ub098\ud0c0\ub0b4\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud3c9\uac00\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. ggplot2\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. library (ggplot2) ggplot(model, aes(x = .fitted, y = .resid)) + geom_point() + geom_hline(yintercept = 0 ) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608: ggplot2\uc5d0\uc11c \uc794\ucc28 \ub3c4\ud45c \uc0dd\uc131 \uc774 [&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-3790","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>ggplot2\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 ggplot2\uc5d0\uc11c \uc794\ucc28 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 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