{"id":1178,"date":"2023-07-27T09:26:41","date_gmt":"2023-07-27T09:26:41","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%84%90%e1%85%b3%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b8\/"},"modified":"2023-07-27T09:26:41","modified_gmt":"2023-07-27T09:26:41","slug":"r%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%84%90%e1%85%b3%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%84%90%e1%85%b3%e1%84%89%e1%85%b3%e1%84%90%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b8\/","title":{"rendered":"R\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc740<\/strong> <a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168-\u1103\u1162-\u1106\u1162\u1100\u1162\u1107\u1167\u11ab\u1109\u116e\/\" target=\"_blank\" rel=\"noopener noreferrer\">\ud1b5\uacc4<\/a> \uc758 \ud45c\uc900 \uc624\ucc28\ub97c \ucd94\uc815\ud558\uace0 \ud1b5\uacc4\uc5d0 \ub300\ud55c \uc2e0\ub8b0 \uad6c\uac04\uc744 \uc0dd\uc131\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc758 \uae30\ubcf8 \ud504\ub85c\uc138\uc2a4\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c <em>k\uac1c\uc758<\/em> \ubc18\ubcf5 \uc0d8\ud50c\uc744 \ubcf5\uc6d0\ud558\uc5ec \ucd94\ucd9c\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac01 \uc0d8\ud50c\uc5d0 \ub300\ud574 \uad00\uc2ec \uc788\ub294 \ud1b5\uacc4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc774\ub294 \uc8fc\uc5b4\uc9c4 \ud1b5\uacc4\uc5d0 \ub300\ud574 <em>k<\/em> \uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \ucd94\uc815\uce58\ub97c \uc81c\uacf5\ud558\uba70, \uc774\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud1b5\uacc4\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\uace0 \ud1b5\uacc4\uc5d0 \ub300\ud55c \uc2e0\ub8b0 \uad6c\uac04\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><a href=\"https:\/\/cran.r-project.org\/web\/packages\/boot\/boot.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">\ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \ub77c\uc774\ube0c\ub7ec\ub9ac<\/a> \uc758 \ub2e4\uc74c \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">1. \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc0d8\ud50c\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>boot(\ub370\uc774\ud130, \ud1b5\uacc4, R, \u2026)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\ub370\uc774\ud130:<\/strong> \ubca1\ud130, \ud589\ub82c \ub610\ub294 \ub370\uc774\ud130 \ube14\ub85d<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\ud1b5\uacc4:<\/strong> \uc2dc\uc791\ud560 \ud1b5\uacc4\ub97c \uc0dd\uc131\ud558\ub294 \ud568\uc218<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>A:<\/strong> \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \ubc18\ubcf5 \ud69f\uc218<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">2. \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc2e0\ub8b0 \uad6c\uac04\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>boot.ci(\ubd80\ud305 \uac1c\uccb4, conf, \uc720\ud615)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>bootobject:<\/strong> boot() \ud568\uc218\uc5d0 \uc758\ud574 \ubc18\ud658\ub41c \uac1d\uccb4<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>conf:<\/strong> \uacc4\uc0b0\ud560 \uc2e0\ub8b0 \uad6c\uac04\uc785\ub2c8\ub2e4. \uae30\ubcf8\uac12\uc740 0.95\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\uc720\ud615:<\/strong> \uacc4\uc0b0\ud560 \uc2e0\ub8b0 \uad6c\uac04 \uc720\ud615\uc785\ub2c8\ub2e4. \uc635\uc158\uc5d0\ub294 &#8216;standard&#8217;, &#8216;basic&#8217;, &#8216;stud&#8217;, &#8216;perc&#8217;, &#8216;bca&#8217; \ubc0f &#8216;all&#8217;\uc774 \ud3ec\ud568\ub418\uba70 \uae30\ubcf8\uac12\uc740 &#8216;all&#8217;\uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uae30\ub2a5\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 1: \ub2e8\uc77c \ud1b5\uacc4 \ubd80\ud2b8\uc2a4\ud2b8\ub7a9<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e8\uc21c \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1169\u11c2\u110b\u1173\u11ab-r-\u110c\u1166\u1100\u1169\u11b8-\u1100\u1161\u11b9\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \uc81c\uacf1<\/a> \uc5d0 \ub300\ud55c \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>set.seed(0)\n<span style=\"color: #993300;\">library<\/span> (boot)\n\n<span style=\"color: #008080;\">#define function to calculate R-squared\n<\/span>rsq_function &lt;- <span style=\"color: #008000;\">function<\/span> (formula, data, indices) {\n  d &lt;- data[indices,] <span style=\"color: #008080;\">#allows boot to select sample<\/span>\n  fit &lt;- lm(formula, data=d) <span style=\"color: #008080;\">#fit regression model<\/span>\n  <span style=\"color: #008000;\">return<\/span> (summary(fit)$r.square) <span style=\"color: #008080;\">#return R-squared of model<\/span>\n}\n<span style=\"color: #008080;\">#perform bootstrapping with 2000 replications\n<\/span>reps &lt;- boot(data=mtcars, statistic=rsq_function, R=2000, formula=mpg~disp)\n\n<span style=\"color: #008080;\">#view results of boostrapping\n<\/span>reps\n\nORDINARY NONPARAMETRIC BOOTSTRAP\n\n\nCall:\nboot(data = mtcars, statistic = rsq_function, R = 2000, formula = mpg ~ \n    available)\n\n\nBootstrap Statistics:\n     original bias std. error\nt1* 0.7183433 0.002164339 0.06513426<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \ub2e4\uc74c\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc774 \ud68c\uadc0 \ubaa8\ub378\uc758 \ucd94\uc815 R-\uc81c\uacf1\uc740 <strong>0.7183433<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc774 \ucd94\uc815\uce58\uc758 \ud45c\uc900 \uc624\ub958\ub294 <strong>0.06513426<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ub41c \uc0d8\ud50c\uc758 \ubd84\ud3ec\ub97c \ube60\ub974\uac8c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>plot(reps)\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11750 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/demarrage1.png\" alt=\"R\uc758 \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \uc0d8\ud50c \ud788\uc2a4\ud1a0\uadf8\ub7a8\" width=\"456\" height=\"437\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc758 \ucd94\uc815 R \uc81c\uacf1\uc5d0 \ub300\ud55c 95% \uc2e0\ub8b0 \uad6c\uac04\uc744 \uacc4\uc0b0\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate adjusted bootstrap percentile (BCa) interval\n<\/span>boot.ci(reps, type=\" <span style=\"color: #008000;\">bca<\/span> \")\n\nCALL: \nboot.ci(boot.out = reps, type = \"bca\")\n\nIntervals: \nLevel BCa          \n95% (0.5350, 0.8188)  \nCalculations and Intervals on Original Scale<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \uc2e4\uc81c R-\uc81c\uacf1 \uac12\uc5d0 \ub300\ud55c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ub41c 95% \uc2e0\ub8b0 \uad6c\uac04\uc740 (0.5350, 0.8188)\uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\uc608 2: \ubd80\ud2b8\uc2a4\ud2b8\ub7a9 \ub2e4\uc911 \ud1b5\uacc4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0 \ubaa8\ub378\uc758 \uac01 \uacc4\uc218\uc5d0 \ub300\ud55c \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>set.seed(0)\n<span style=\"color: #993300;\">library<\/span> (boot)\n\n<span style=\"color: #008080;\">#define function to calculate fitted regression coefficients\n<\/span>coef_function &lt;- <span style=\"color: #008000;\">function<\/span> (formula, data, indices) {\n  d &lt;- data[indices,] <span style=\"color: #008080;\">#allows boot to select sample<\/span>\n  fit &lt;- lm(formula, data=d) <span style=\"color: #008080;\">#fit regression model<\/span>\n  <span style=\"color: #008000;\">return<\/span> (coef(fit)) <span style=\"color: #008080;\">#return coefficient estimates of model<\/span>\n}\n\n<span style=\"color: #008080;\">#perform bootstrapping with 2000 replications\n<\/span>reps &lt;- boot(data=mtcars, statistic=coef_function, R=2000, formula=mpg~disp)\n\n<span style=\"color: #008080;\">#view results of boostrapping\n<\/span>reps\n\nORDINARY NONPARAMETRIC BOOTSTRAP\n\n\nCall:\nboot(data = mtcars, statistic = coef_function, R = 2000, formula = mpg ~ \n    available)\n\n\nBootstrap Statistics:\n       original bias std. error\nt1* 29.59985476 -5.058601e-02 1.49354577\nt2* -0.04121512 6.549384e-05 0.00527082<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \ub2e4\uc74c\uc744 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ubaa8\ub378 \uc808\ud3b8\uc758 \ucd94\uc815 \uacc4\uc218\ub294 <strong>29.59985476<\/strong> \uc774\uace0 \uc774 \ucd94\uc815\uc758 \ud45c\uc900 \uc624\ucc28\ub294 <strong>1.49354577<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ubaa8\ub378\uc758 \uc608\uce21 \ubcc0\uc218 <em>disp<\/em> \uc5d0 \ub300\ud55c \ucd94\uc815 \uacc4\uc218\ub294 <strong>-0.04121512<\/strong> \uc774\uace0 \uc774 \ucd94\uc815\uc758 \ud45c\uc900 \uc624\ucc28\ub294 <strong>0.00527082<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub610\ud55c \ubd80\ud2b8\uc2a4\ud2b8\ub7a9\ub41c \uc0d8\ud50c\uc758 \ubd84\ud3ec\ub97c \ube60\ub974\uac8c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>plot(reps, index=1) <span style=\"color: #008080;\">#intercept of model<\/span>\nplot(reps, index=2) <span style=\"color: #008080;\">#disp predictor variable\n<\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-11752 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/demarrage2.png\" alt=\"R\uc758 \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\" width=\"669\" height=\"325\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \uacc4\uc218\uc5d0 \ub300\ud55c 95% \uc2e0\ub8b0 \uad6c\uac04\uc744 \uacc4\uc0b0\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate adjusted bootstrap percentile (BCa) intervals\n<\/span>boot.ci(reps, type=\" <span style=\"color: #008000;\">bca<\/span> \", index=1) <span style=\"color: #008080;\">#intercept of model<\/span>\nboot.ci(reps, type=\" <span style=\"color: #008000;\">bca<\/span> \", index=2) <span style=\"color: #008080;\">#disp predictor variable\n<\/span>\nCALL: \nboot.ci(boot.out = reps, type = \"bca\", index = 1)\n\nIntervals: \nLevel BCa          \n95% (26.78, 32.66)  \nCalculations and Intervals on Original Scale\nBOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS\nBased on 2000 bootstrap replicates\n\nCALL: \nboot.ci(boot.out = reps, type = \"bca\", index = 2)\n\nIntervals: \nLevel BCa          \n95% (-0.0520, -0.0312)  \nCalculations and Intervals on Original Scale<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \ubaa8\ub378 \uacc4\uc218\uc5d0 \ub300\ud55c \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\ub41c 95% \uc2e0\ub8b0 \uad6c\uac04\uc740 \ub2e4\uc74c\uacfc \uac19\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ucc28\ub2e8\uc6a9 IC: (26.78, 32.66)<\/span><\/li>\n<li> <span style=\"color: #000000;\"><em>disp<\/em> \uc6a9 CI : (-.0520, -.0312)<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\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 noreferrer\">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 noreferrer\">R\uc5d0\uc11c \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95<\/a><br \/> \uc2e0\ub8b0 \uad6c\uac04 \uc18c\uac1c<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc740 \ud1b5\uacc4 \uc758 \ud45c\uc900 \uc624\ucc28\ub97c \ucd94\uc815\ud558\uace0 \ud1b5\uacc4\uc5d0 \ub300\ud55c \uc2e0\ub8b0 \uad6c\uac04\uc744 \uc0dd\uc131\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ubd80\ud2b8\uc2a4\ud2b8\ub798\ud551\uc758 \uae30\ubcf8 \ud504\ub85c\uc138\uc2a4\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. \uc8fc\uc5b4\uc9c4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c k\uac1c\uc758 \ubc18\ubcf5 \uc0d8\ud50c\uc744 \ubcf5\uc6d0\ud558\uc5ec \ucd94\ucd9c\ud569\ub2c8\ub2e4. \uac01 \uc0d8\ud50c\uc5d0 \ub300\ud574 \uad00\uc2ec \uc788\ub294 \ud1b5\uacc4\ub97c \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774\ub294 \uc8fc\uc5b4\uc9c4 \ud1b5\uacc4\uc5d0 \ub300\ud574 k \uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \ucd94\uc815\uce58\ub97c \uc81c\uacf5\ud558\uba70, \uc774\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud1b5\uacc4\uc758 \ud45c\uc900 \uc624\ucc28\ub97c \uacc4\uc0b0\ud558\uace0 \ud1b5\uacc4\uc5d0 \ub300\ud55c \uc2e0\ub8b0 [&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-1178","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 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