{"id":3149,"date":"2023-07-18T23:26:33","date_gmt":"2023-07-18T23:26:33","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%92%e1%85%aa%e1%86%bc%e1%84%90%e1%85%a9-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1\/"},"modified":"2023-07-18T23:26:33","modified_gmt":"2023-07-18T23:26:33","slug":"r%e1%84%8b%e1%85%b4-%e1%84%92%e1%85%aa%e1%86%bc%e1%84%90%e1%85%a9-%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%92%e1%85%aa%e1%86%bc%e1%84%90%e1%85%a9-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1\/","title":{"rendered":"R\uc5d0\uc11c loess \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>LOESS \ud68c\uadc0<\/strong> (\ub54c\ub54c\ub85c \ub85c\uceec \ud68c\uadc0\ub77c\uace0\ub3c4 \ud568)\ub294 \ub85c\uceec \uc870\uc815\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378\uc744 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub9de\ucd94\ub294 \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 LOESS \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 R\uc5d0\uc11c \ub2e4\uc74c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc0dd\uc131\ud574 \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),\n                 y=c(1, 4, 7, 13, 19, 24, 20, 15, 13, 11, 15, 18, 22, 27))\n\n<span style=\"color: #008080;\">#view first six rows of data frame<\/span>\nhead(df)\n\n  xy\n1 1 1\n2 2 4\n3 3 7\n4 4 13\n5 5 19\n6 6 24\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \uc5ec\ub7ec LOESS \ud68c\uadc0 \ubaa8\ub378 \uc801\ud569<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><strong>loess()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \ub2e4\uc591\ud55c LOESS \ud68c\uadc0 \ubaa8\ub378\uc744 \uc774 \ub370\uc774\ud130\uc138\ud2b8\uc5d0 \uc801\uc6a9\ud560 \uc218 \uc788\uc73c\uba70, <strong>\ubc94\uc704 \ub9e4\uac1c<\/strong> \ubcc0\uc218\uc5d0 \ub300\ud574 \uc11c\ub85c \ub2e4\ub978 \uac12\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#fit several LOESS regression models to dataset\n<\/span>loess50 &lt;- loess(y ~ x, data=df, span= <span style=\"color: #008000;\">.5<\/span> )\nsmooth50 &lt;- predict(loess50) \n\nloess75 &lt;- loess(y ~ x, data=df, span= <span style=\"color: #008000;\">.75<\/span> )\nsmooth75 &lt;- predict(loess75) \n\nloess90 &lt;- loess(y ~ x, data=df, span= <span style=\"color: #008000;\">.9<\/span> )\nsmooth90 &lt;- predict(loess90) \n\n<span style=\"color: #008080;\">#create scatterplot with each regression line overlaid\n<\/span>plot(df$x, df$y, pch= <span style=\"color: #008000;\">19<\/span> , main=' <span style=\"color: #ff0000;\">Loess Regression Models<\/span> ')\nlines(smooth50, x=df$x, col=' <span style=\"color: #ff0000;\">red<\/span> ')\nlines(smooth75, x=df$x, col=' <span style=\"color: #ff0000;\">purple<\/span> ')\nlines(smooth90, x=df$x, col=' <span style=\"color: #ff0000;\">blue<\/span> ')\nlegend(' <span style=\"color: #ff0000;\">bottomright<\/span> ', legend=c(' <span style=\"color: #ff0000;\">.5<\/span> ', ' <span style=\"color: #ff0000;\">.75<\/span> ', ' <span style=\"color: #ff0000;\">.9<\/span> '),\n        col=c(' <span style=\"color: #ff0000;\">red<\/span> ', ' <span style=\"color: #ff0000;\">purple<\/span> ', ' <span style=\"color: #ff0000;\">blue<\/span> '), pch= <span style=\"color: #008000;\">19<\/span> , title=' <span style=\"color: #ff0000;\">Smoothing Span<\/span> ')\n<\/strong><\/span><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-26784\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/loess1.jpg\" alt=\"R\uc758 \ud669\ud1a0 \ud68c\uadc0\" width=\"452\" height=\"447\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>span<\/strong> \uc5d0 \uc0ac\uc6a9\ud558\ub294 \uac12\uc774 \ub0ae\uc744\uc218\ub85d \ud68c\uadc0 \ubaa8\ub378\uc774 \ub35c &#8220;\ubd80\ub4dc\ub7fd\uac8c&#8221; \ub418\uace0 \ubaa8\ub378\uc774 \ub370\uc774\ud130 \ud3ec\uc778\ud2b8\uc5d0 \ub354 \ub9ce\uc774 \ub9de\ucd94\ub824\uace0 \uc2dc\ub3c4\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: K-\ud3f4\ub4dc \uad50\ucc28 \uac80\uc99d\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucd5c\uc0c1\uc758 \ubaa8\ub378 \ucc3e\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc0ac\uc6a9\ud560 \ucd5c\uc801\uc758 <strong>\ubc94\uc704<\/strong> \uac12\uc744 \ucc3e\uc73c\ub824\uba74 <strong>\uce90\ub7ff<\/strong> \ud328\ud0a4\uc9c0\uc758 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec <a href=\"https:\/\/statorials.org\/ko\/k-\u1100\u1167\u11b8-\u1100\u116d\u110e\u1161-\u1100\u1165\u11b7\u110c\u1173\u11bc\/\" target=\"_blank\" rel=\"noopener\">k-\uacb9 \uad50\ucc28 \uac80\uc99d\uc744<\/a> \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (caret)\n\n<span style=\"color: #008080;\">#define k-fold cross validation method\n<\/span>ctrl &lt;- trainControl(method = \" <span style=\"color: #ff0000;\">cv<\/span> \", number = <span style=\"color: #008000;\">5<\/span> )\ngrid &lt;- expand. <span style=\"color: #3366ff;\">grid<\/span> (span = seq( <span style=\"color: #008000;\">0.5<\/span> , <span style=\"color: #008000;\">0.9<\/span> , len = <span style=\"color: #008000;\">5<\/span> ), degree = <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#perform cross-validation using smoothing spans ranging from 0.5 to 0.9\n<\/span>model &lt;- train(y ~ x, data = df, method = \" <span style=\"color: #ff0000;\">gamLoess<\/span> \", tuneGrid=grid, trControl = ctrl)\n\n<span style=\"color: #008080;\">#print results of k-fold cross-validation\n<\/span><span style=\"color: #008000;\">print<\/span> (model)\n\n14 samples\n 1 predictor\n\nNo pre-processing\nResampling: Cross-Validated (5 fold) \nSummary of sample sizes: 12, 11, 11, 11, 11 \nResampling results across tuning parameters:\n\n  span RMSE Rsquared MAE      \n  0.5 10.148315 0.9570137 6.467066\n  0.6 7.854113 0.9350278 5.343473\n  0.7 6.113610 0.8150066 4.769545\n  0.8 17.814105 0.8202561 11.875943\n  0.9 26.705626 0.7384931 17.304833\n\nTuning parameter 'degree' was held constant at a value of 1\nRMSE was used to select the optimal model using the smallest value.\nThe final values used for the model were span = 0.7 and degree = 1.<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">RMSE( <a href=\"https:\/\/statorials.org\/ko\/rmse\u1105\u1173\u11af-\u1112\u1162\u1109\u1165\u11a8\u1112\u1161\u1102\u1173\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\/\" target=\"_blank\" rel=\"noopener\">\uc81c\uacf1\ud3c9\uade0\uc81c\uacf1\uadfc \uc624\ucc28<\/a> )\uc758 \uac00\uc7a5 \ub0ae\uc740 \uac12\uc744 \uc0dd\uc131\ud55c <strong>\ubc94\uc704<\/strong> \uac12\uc774 <strong>0.7<\/strong> \uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub530\ub77c\uc11c \ucd5c\uc885 LOESS \ud68c\uadc0 \ubaa8\ub378\uc758 \uacbd\uc6b0 <strong>loess()<\/strong> \ud568\uc218\uc758 <strong>\ubc94\uc704<\/strong> \uc778\uc218\uc5d0 <strong>0.7<\/strong> \uac12\uc744 \uc0ac\uc6a9\ud558\ub3c4\ub85d \uc120\ud0dd\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\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>LOESS \ud68c\uadc0 (\ub54c\ub54c\ub85c \ub85c\uceec \ud68c\uadc0\ub77c\uace0\ub3c4 \ud568)\ub294 \ub85c\uceec \uc870\uc815\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud68c\uadc0 \ubaa8\ub378\uc744 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0 \ub9de\ucd94\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\uc5d0\uc11c\ub294 R\uc5d0\uc11c LOESS \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 R\uc5d0\uc11c \ub2e4\uc74c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc0dd\uc131\ud574 \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), y=c(1, [&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-3149","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 LOESS \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc804\uccb4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec R\uc5d0\uc11c \ud669\ud1a0 \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-\u1112\u116a\u11bc\u1110\u1169-\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 LOESS \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc804\uccb4 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec R\uc5d0\uc11c \ud669\ud1a0 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1112\u116a\u11bc\u1110\u1169-\u1112\u116c\u1100\u1171\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T23:26:33+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/loess1.jpg\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script 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