{"id":481,"date":"2023-07-29T18:24:50","date_gmt":"2023-07-29T18:24:50","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%86%e1%85%a1%e1%84%82%e1%85%a9%e1%84%87%e1%85%a1%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-r%e1%84%85%e1%85%a9\/"},"modified":"2023-07-29T18:24:50","modified_gmt":"2023-07-29T18:24:50","slug":"%e1%84%86%e1%85%a1%e1%84%82%e1%85%a9%e1%84%87%e1%85%a1%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-r%e1%84%85%e1%85%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%86%e1%85%a1%e1%84%82%e1%85%a9%e1%84%87%e1%85%a1%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-r%e1%84%85%e1%85%a9\/","title":{"rendered":"R\uc5d0\uc11c manova\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">MANOVA\ub97c \uc774\ud574\ud558\ub824\uba74 \uba3c\uc800 ANOVA\ub97c \uc774\ud574\ud558\ub294 \uac83\uc774 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ko\/\u1103\u1161\u11ab\u1107\u1161\u11bc\u1112\u1163\u11bc-\u110b\u1161\u1102\u1169\u1107\u1161\/\" target=\"_blank\" rel=\"noopener\">ANOVA<\/a> (\ubd84\uc0b0 \ubd84\uc11d)\ub294 \uc138 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, \ud559\uc2b5 \ubc29\ubc95\uc774 \ud559\uc0dd\ub4e4\uc758 \uc2dc\ud5d8 \uc810\uc218\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc5ec\ubd80\ub97c \uc54c\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \ud559\uae09\uc744 \ubb34\uc791\uc704\ub85c \uc138 \uadf8\ub8f9\uc73c\ub85c \ub098\ub204\uc5c8\uc2b5\ub2c8\ub2e4. \uac01 \uadf8\ub8f9\uc740 \ud55c \ub2ec \ub3d9\uc548 \uc11c\ub85c \ub2e4\ub978 \ud559\uc2b5 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2dc\ud5d8\uc744 \uc900\ube44\ud569\ub2c8\ub2e4. \uc6d4\ub9d0\uc5d0\ub294 \ubaa8\ub4e0 \ud559\uc0dd\uc774 \ub3d9\uc77c\ud55c \uc2dc\ud5d8\uc744 \uce58\ub985\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud559\uc2b5 \uae30\uc220\uc774 \uc2dc\ud5d8 \uc810\uc218\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc54c\uc544\ubcf4\uae30 \uc704\ud574 \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud558\uba74 \uc138 \uadf8\ub8f9\uc758 \ud3c9\uade0 \uc810\uc218 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">ANOVA\uc5d0\ub294 \ubc18\uc751 \ubcc0\uc218\uac00 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 <strong>MANOVA<\/strong> (\ub2e4\ubcc0\ub7c9 \ubd84\uc0b0 \ubd84\uc11d)\uc5d0\ub294 \uc5ec\ub7ec \ubc18\uc751 \ubcc0\uc218\uac00 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, \uad50\uc721 \uc218\uc900(\uc608: \uace0\ub4f1\ud559\uad50, \uc900\ud559\uc0ac \ud559\uc704, \ud559\uc0ac \ud559\uc704, \uc11d\uc0ac \ud559\uc704 \ub4f1)\uc774 \uc5f0\uac04 \uc18c\ub4dd\uacfc \ud559\uc790\uae08 \ubd80\ucc44 \uae08\uc561\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5\uc744 \uc54c\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uacbd\uc6b0\uc5d0\ub294 \ud558\ub098\uc758 \uc694\uc778(\uad50\uc721 \uc218\uc900)\uacfc \ub450 \uac1c\uc758 \ubc18\uc751 \ubcc0\uc218(\uc5f0 \uc18c\ub4dd \ubc0f \ud559\uc790\uae08 \ubd80\ucc44)\uac00 \uc788\uc73c\ubbc0\ub85c \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> <a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168\u1112\u1161\u11a8\u110b\u1173\u11ab-\u1100\u1161\u11ab\u1103\u1161\u11ab\u1112\u1161\u1100\u1169-\u110c\u1175\u11a8\u110c\u1165\u11b8\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1107\u1161\u11bc\u1107\u1165\u11b8\u110b\u1173\u1105\u1169-\u1100\u1162\u1102\u1167\u11b7\u110b\u1173\u11af-\u1109\u1165\u11af\u1106\u1167\u11bc\u1112\u1161\u1106\u1173\u1105\u1169-\u1110\u1169\u11bc\u1100\u1168\u1105\u1173\u11af-\u1103\u1165-\u1109\u1171\u11b8\u1100\u1166-\u1107\u1162\u110b\u116e\u11af-\u1109\u116e-\u110b\u1175\u11bb\u1109\u1173\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">ANOVA, ANCOVA, MANOVA \ubc0f MANCOVA \uac04\uc758 \ucc28\uc774\uc810 \uc774\ud574<\/a><\/p>\n<h2> <span style=\"color: #000000;\"><strong>R\uc5d0\uc11c MANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc138 \uac00\uc9c0 \ub2e4\ub978 \uc885(&#8220;setosa&#8221;, &#8220;virginica&#8221;)\uc5d0 \ub300\ud55c \ub2e4\uc591\ud55c \uaf43 \uce21\uc815\uc758 \uae38\uc774\uc640 \ub108\ube44\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub0b4\uc7a5 <strong>\ubd93\uaf43<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \ub2e8\ubc29\ud5a5 MANOVA\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. , \u201c\ubca0\ub974\uc2dc\uceec\ub7ec\u201d):<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of <em>iris<\/em> dataset<\/span>\nhead(iris)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 5.1 3.5 1.4 0.2 setosa\n#2 4.9 3.0 1.4 0.2 setosa\n#3 4.7 3.2 1.3 0.2 setosa\n#4 4.6 3.1 1.5 0.2 setosa\n#5 5.0 3.6 1.4 0.2 setosa\n#6 5.4 3.9 1.7 0.4 setosa\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc885\uc774 \uaf43\ubc1b\uce68 \uae38\uc774\uc640 \ub108\ube44\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc54c\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. <em>\uc885\uc744<\/em> \ub3c5\ub9bd \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uace0 \uaf43\ubc1b\uce68 <em>\uae38\uc774<\/em> \uc640 <em>\ub108\ube44\ub97c<\/em> \ubc18\uc751 \ubcc0\uc218\ub85c \uc0ac\uc6a9\ud558\uc5ec R\uc758 <strong>manova()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc77c\uc6d0 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>manova()<\/strong> \ud568\uc218\ub294 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p style=\"text-align: left;\"> <strong><span style=\"color: #000000;\">manova(cbind(rv1, rv2, \u2026) ~ iv, \ub370\uc774\ud130)<\/span><\/strong><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>rv1, rv2<\/strong> : \uc751\ub2f5\ubcc0\uc218 1, \uc751\ub2f5\ubcc0\uc218 2 \ub4f1<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>iv<\/strong> : \ub3c5\ub9bd\ubcc0\uc218<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>data<\/strong> : \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uc774\ub984<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ubd93\uaf43 \ub370\uc774\ud130\uc138\ud2b8\ub97c \uc0ac\uc6a9\ud55c \uc608\uc5d0\uc11c\ub294 MANOVA\ub97c \ud53c\ud305\ud558\uace0 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uacb0\uacfc\ub97c \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit the MANOVA model<\/span>\nmodel &lt;- manova(cbind(Sepal.Length, Sepal.Width) ~ Species, data = iris)\n\n<span style=\"color: #008080;\">#view the results\n<\/span>summary(model)\n# Df Pillai approx F num Df den Df Pr(&gt;F)    \n#Species 2 0.94531 65.878 4,294 &lt; 2.2e-16 ***\n#Residuals 147                                             \n#---\n#Significant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c F \ud1b5\uacc4\ub294 65.878\uc774\uace0 \ud574\ub2f9 p-\uac12\uc740 \ub9e4\uc6b0 \uc791\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc885\uc5d0 \ub530\ub77c \uaf43\ubc1b\uce68 \uce21\uc815\uac12\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ud55c \ucc28\uc774\uac00 \uc788\uc74c\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<blockquote>\n<p> <span style=\"color: #000000;\"><strong>\uae30\uc220 \ucc38\uace0 \uc0ac\ud56d:<\/strong> \uae30\ubcf8\uc801\uc73c\ub85c manova()\ub294 <em>Pillai<\/em> \ud14c\uc2a4\ud2b8 \ud1b5\uacc4\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc774 \uac80\uc815 \ud1b5\uacc4\ub7c9\uc758 \ubd84\ud3ec\ub294 \ubcf5\uc7a1\ud558\ubbc0\ub85c \ubcf4\ub2e4 \uc27d\uac8c \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ub300\ub7b5\uc801\uc778 F \uac12\ub3c4 \uc81c\uacf5\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec &#8216;Roy&#8217;, &#8216;Hotelling-Lawley&#8217; \ub610\ub294 &#8216;Wilks&#8217;\ub97c \uac80\uc815 \ud1b5\uacc4\ub7c9\uc73c\ub85c \uc9c0\uc815\ud558\uc5ec \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. summary(model, test = &#8216;Wilks&#8217;)<\/span><\/p>\n<\/blockquote>\n<p> <span style=\"color: #000000;\">\uaf43\ubc1b\uce68 <em>\uae38\uc774<\/em> \uc640 <em>\ub108\ube44\uac00<\/em> <em>\uc885<\/em> \uc5d0 \uc758\ud574 \uc5b4\ub5bb\uac8c \uc601\ud5a5\uc744 \ubc1b\ub294\uc9c0 \uc815\ud655\ud788 \uc54c\uc544\ub0b4\uae30 \uc704\ud574 \ub2e4\uc74c \ucf54\ub4dc\uc5d0 \ud45c\uc2dc\ub41c \ub300\ub85c <strong>summary.aov()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ub2e8\ubcc0\ub7c9 \ubd84\uc0b0 \ubd84\uc11d\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>summary.aov(model)\n\n\n# Response Sepal.Length:\n# Df Sum Sq Mean Sq F value Pr(&gt;F)    \n#Species 2 63.212 31.606 119.26 &lt; 2.2e-16 ***\n#Residuals 147 38.956 0.265                      \n#---\n#Significant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n\n# Response Sepal.Width:\n# Df Sum Sq Mean Sq F value Pr(&gt;F)    \n#Species 2 11.345 5.6725 49.16 &lt; 2.2e-16 ***\n#Residuals 147 16.962 0.1154                      \n#---\n#Significant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \ub450 \ub2e8\ubcc0\ub7c9 ANOVA\uc5d0 \ub300\ud55c p-\uac12\uc774 \ub9e4\uc6b0 \ub0ae\uc74c\uc744 \uc54c \uc218 \uc788\uc73c\uba70(&lt;2.2e-16), \uc774\ub294 <em>\uc885\uc774<\/em> <em>\uaf43\ubc1b\uce68<\/em> <em>\ub108\ube44<\/em> \uc640 \uae38\uc774\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \uc601\ud5a5\uc744 \ubbf8\uce5c\ub2e4\ub294 \uac83\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n<h2> <strong><span style=\"color: #000000;\">\uadf8\ub8f9\uc758 \uc790\uc6d0 \uc2dc\uac01\ud654<\/span><\/strong><\/h2>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\ub97c \ub354 \uc798 \uc774\ud574\ud558\uae30 \uc704\ud574 \ub3c5\ub9bd \ubcc0\uc218 <em>\uc885<\/em> \uc758 \uac01 \uc218\uc900\uc5d0 \ub300\ud55c \uadf8\ub8f9 \ud3c9\uade0\uc744 \uc2dc\uac01\ud654\ud558\ub294 \uac83\ub3c4 \uc720\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc608\ub97c \ub4e4\uc5b4, <strong>gplots<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\uc640 <strong>\ud50c\ub86f\ud3c9\uade0()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec <em>\uc885\ubcc4<\/em> <em>\uaf43\ubc1b\uce68\uc758 \ud3c9\uade0 \uae38\uc774\ub97c<\/em> \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>gplots<\/em> library<\/span>\nlibrary(gplots)\n\n<span style=\"color: #008080;\">#visualize mean <em>sepal length<\/em> by <em>species<\/em>\n<\/span>plotmeans(iris$Sepal.Length ~ iris$Species)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uadf8\ub798\ud504\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ud3c9\uade0 \uaf43\ubc1b\uce68 \uae38\uc774\uac00 \uc885\ub9c8\ub2e4 \ud06c\uac8c \ub2e4\ub974\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc885 \uc804\uccb4\uc5d0 \uac78\uccd0 \uaf43\ubc1b\uce68 \uce21\uc815\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\uc74c\uc744 \uc54c\ub824\uc8fc\ub294 MANOVA\uc758 \uacb0\uacfc\uc640 \uc77c\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub610\ud55c <em>\uc885\ubcc4<\/em> <em>\uaf43\ubc1b\uce68\uc758 \ud3c9\uade0 \ub108\ube44\ub97c<\/em> \uc2dc\uac01\ud654\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>plotmeans(iris$Sepal.Width ~ iris$Species)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>manova()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub294 <a href=\"https:\/\/www.rdocumentation.org\/packages\/stats\/versions\/3.5.2\/topics\/manova\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> \ud655\uc778\ud558\uc138\uc694.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>MANOVA\ub97c \uc774\ud574\ud558\ub824\uba74 \uba3c\uc800 ANOVA\ub97c \uc774\ud574\ud558\ub294 \uac83\uc774 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4. ANOVA (\ubd84\uc0b0 \ubd84\uc11d)\ub294 \uc138 \uac1c \uc774\uc0c1\uc758 \ub3c5\ub9bd \uadf8\ub8f9\uc758 \ud3c9\uade0 \uac04\uc5d0 \ud1b5\uacc4\uc801\uc73c\ub85c \uc720\uc758\ubbf8\ud55c \ucc28\uc774\uac00 \uc788\ub294\uc9c0 \uc5ec\ubd80\ub97c \ud655\uc778\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud559\uc2b5 \ubc29\ubc95\uc774 \ud559\uc0dd\ub4e4\uc758 \uc2dc\ud5d8 \uc810\uc218\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce58\ub294\uc9c0 \uc5ec\ubd80\ub97c \uc54c\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \ud559\uae09\uc744 \ubb34\uc791\uc704\ub85c \uc138 \uadf8\ub8f9\uc73c\ub85c \ub098\ub204\uc5c8\uc2b5\ub2c8\ub2e4. \uac01 \uadf8\ub8f9\uc740 \ud55c \ub2ec \ub3d9\uc548 \uc11c\ub85c \ub2e4\ub978 \ud559\uc2b5 \ubc29\ubc95\uc744 [&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-481","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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