{"id":1218,"date":"2023-07-27T06:02:37","date_gmt":"2023-07-27T06:02:37","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%85%e1%85%b2-%e1%84%86%e1%85%b5%e1%86%be-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%90%e1%85%b3%e1%84%85%e1%85%b5\/"},"modified":"2023-07-27T06:02:37","modified_gmt":"2023-07-27T06:02:37","slug":"r%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%85%e1%85%b2-%e1%84%86%e1%85%b5%e1%86%be-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%90%e1%85%b3%e1%84%85%e1%85%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%b4-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%85%e1%85%b2-%e1%84%86%e1%85%b5%e1%86%be-%e1%84%92%e1%85%ac%e1%84%80%e1%85%b1-%e1%84%90%e1%85%b3%e1%84%85%e1%85%b5\/","title":{"rendered":"R\uc5d0 \ubd84\ub958 \ubc0f \ud68c\uadc0 \ud2b8\ub9ac\ub97c \ub9de\ucd94\ub294 \ubc29\ubc95"},"content":{"rendered":"

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\uc77c\ub828\uc758 \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \ubcc0\uc218<\/a> \uac04\uc758 \uad00\uacc4\uac00 \uc120\ud615\uc778 \uacbd\uc6b0 \ub2e4\uc911 \uc120\ud615 \ud68c\uadc0<\/a> \uc640 \uac19\uc740 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uba74 \uc815\ud655\ud55c \uc608\uce21 \ubaa8\ub378\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uadf8\ub7ec\ub098 \uc77c\ub828\uc758 \uc608\uce21 \ubcc0\uc218\uc640 \ubc18\uc751 \uac04\uc758 \uad00\uacc4\uac00 \ub354 \ubcf5\uc7a1\ud558\uba74 \ube44\uc120\ud615 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub354 \uc815\ud655\ud55c \ubaa8\ub378\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uadf8\ub7ec\ud55c \ubc29\ubc95 \uc911 \ud558\ub098\ub294 \ubd84\ub958 \ubc0f \ud68c\uadc0 \ud2b8\ub9ac<\/a> (CART)\ub85c, \uc608\uce21 \ubcc0\uc218 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc751\ub2f5 \ubcc0\uc218\uc758 \uac12\uc744 \uc608\uce21\ud558\ub294 \uc758\uc0ac\uacb0\uc815 \ud2b8\ub9ac\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\ubc18\uc751 \ubcc0\uc218\uac00 \uc5f0\uc18d\ud615\uc774\uba74 \ud68c\uadc0 \ud2b8\ub9ac\ub97c \ub9cc\ub4e4 \uc218 \uc788\uace0, \ubc18\uc751 \ubcc0\uc218\uac00 \ubc94\uc8fc\ud615\uc774\uba74 \ubd84\ub958 \ud2b8\ub9ac\ub97c \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \ud68c\uadc0 \ubc0f \ubd84\ub958 \ud2b8\ub9ac\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608\uc81c 1: R\uc5d0\uc11c \ud68c\uadc0 \ud2b8\ub9ac \uad6c\ucd95<\/strong><\/span><\/h3>\n

\uc774 \uc608\uc5d0\uc11c\ub294 263\uba85\uc758 \ud504\ub85c \uc57c\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \ub2e4\uc591\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c ISLR<\/strong> \ud328\ud0a4\uc9c0\uc758 Hitters<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc6b0\ub9ac\ub294 \uc774 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc120\uc218\uc758 \uc5f0\ubd09\uc744<\/em> \uc608\uce21\ud558\uae30 \uc704\ud574 \ud648\ub7f0<\/em> \uacfc \ud50c\ub808\uc774 \uae30\uac04<\/em> \uc758 \uc608\uce21 \ubcc0\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \ud68c\uadc0 \ud2b8\ub9ac\ub97c \uad6c\ucd95\ud560 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud68c\uadc0 \ud2b8\ub9ac\ub97c \ub9cc\ub4e4\ub824\uba74 \ub2e4\uc74c \ub2e8\uacc4\ub97c \ub530\ub974\uc138\uc694.<\/span><\/p>\n

1\ub2e8\uacc4: \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n

\uba3c\uc800 \uc774 \uc608\uc81c\uc5d0 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n

 library<\/span> (ISLR) #contains Hitters dataset<\/span>\nlibrary<\/span> (rpart) #for fitting decision trees<\/span>\nlibrary<\/span> (rpart.plot) #for plotting decision trees\n<\/span><\/strong><\/pre>\n
 2\ub2e8\uacc4: \ucd08\uae30 \ud68c\uadc0 \ud2b8\ub9ac\ub97c \uad6c\ucd95\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \uba3c\uc800 \ub300\uaddc\ubaa8 \ucd08\uae30 \ud68c\uadc0 \ud2b8\ub9ac\ub97c \uad6c\ucd95\ud569\ub2c8\ub2e4. “\ubcf5\uc7a1\uc131 \ub9e4\uac1c\ubcc0\uc218”\ub97c \uc758\ubbf8\ud558\ub294 cp<\/strong> \uc5d0 \uc791\uc740 \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b8\ub9ac\uac00 \ud06c\ub2e4\ub294 \uac83\uc744 \ubcf4\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 \ubaa8\ub378\uc758 \uc804\uccb4 R-\uc81c\uacf1\uc774 \ucd5c\uc18c\ud55c cp\ub85c \uc9c0\uc815\ub41c \uac12\ub9cc\ud07c \uc99d\uac00\ud558\ub294 \ud55c \ud68c\uadc0 \ud2b8\ub9ac\uc5d0\uc11c \ucd94\uac00 \ubd84\ud560\uc744 \uc218\ud589\ud55c\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub7f0 \ub2e4\uc74c printcp()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378 \uacb0\uacfc\ub97c \uc778\uc1c4\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #build the initial tree\n<\/span>tree <- rpart(Salary ~ Years + HmRun, data=Hitters, control=rpart. control<\/span> (cp= .0001<\/span> ))\n\n#view results<\/span>\nprintcp(tree)\n\nVariables actually used in tree construction:\n[1] HmRun Years\n\nRoot node error: 53319113\/263 = 202734\n\nn=263 (59 observations deleted due to missingness)\n\n           CP nsplit rel error xerror xstd\n1 0.24674996 0 1.00000 1.00756 0.13890\n2 0.10806932 1 0.75325 0.76438 0.12828\n3 0.01865610 2 0.64518 0.70295 0.12769\n4 0.01761100 3 0.62652 0.70339 0.12337\n5 0.01747617 4 0.60891 0.70339 0.12337\n6 0.01038188 5 0.59144 0.66629 0.11817\n7 0.01038065 6 0.58106 0.65697 0.11687\n8 0.00731045 8 0.56029 0.67177 0.11913\n9 0.00714883 9 0.55298 0.67881 0.11960\n10 0.00708618 10 0.54583 0.68034 0.11988\n11 0.00516285 12 0.53166 0.68427 0.11997\n12 0.00445345 13 0.52650 0.68994 0.11996\n13 0.00406069 14 0.52205 0.68988 0.11940\n14 0.00264728 15 0.51799 0.68874 0.11916\n15 0.00196586 16 0.51534 0.68638 0.12043\n16 0.00016686 17 0.51337 0.67577 0.11635\n17 0.00010000 18 0.51321 0.67576 0.11615\nn=263 (59 observations deleted due to missingness)\n<\/span><\/span><\/strong><\/pre>\n
 3\ub2e8\uacc4: \ub098\ubb34\ub97c \uac00\uc9c0\uce58\uae30\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \ub2e4\uc74c\uc73c\ub85c, \uac00\uc7a5 \ub0ae\uc740 \ud14c\uc2a4\ud2b8 \uc624\ub958\ub85c \uc774\uc5b4\uc9c0\ub294 cp(\ubcf5\uc7a1\ub3c4 \ub9e4\uac1c\ubcc0\uc218)\uc5d0 \uc0ac\uc6a9\ud560 \ucd5c\uc801\uc758 \uac12\uc744 \ucc3e\uae30 \uc704\ud574 \ud68c\uadc0 \ud2b8\ub9ac\ub97c \uc815\ub9ac\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 cp\uc758 \ucd5c\uc801 \uac12\uc740 \uc774\uc804 \ucd9c\ub825\uc5d0\uc11c \uac00\uc7a5 \ub0ae\uc740 x \uc624\ub958<\/strong> \ub85c \uc774\uc5b4\uc9c0\ub294 \uac12\uc774\uba70, \uc774\ub294 \uad50\ucc28 \uac80\uc99d \ub370\uc774\ud130\uc758 \uad00\uce21\uac12\uc5d0 \ub300\ud55c \uc624\ub958\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span> <\/p>\n
 #identify best cp value to use\nbest <- tree$cptable[which. min<\/span> (tree$cptable[,\" xerror<\/span> \"]),\" CP<\/span> \"]\n\n#produce a pruned tree based on the best cp value\n<\/span>pruned_tree <- prune<\/span> (tree, cp=best)\n\n#plot the pruned tree\n<\/span>prp(pruned_tree,\n    faclen= 0<\/span> , #use full names for factor labels<\/span>\n    extra= 1<\/span> , #display number of obs. for each terminal node<\/span>\n    roundint= F<\/span> , #don't round to integers in output<\/span>\n    digits= 5<\/span> ) #display 5 decimal places in output\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n
\"R\uc758<\/p>\n
 \ucd5c\uc885 \uac00\uc9c0\uce58\uae30 \ud2b8\ub9ac\uc5d0\ub294 6\uac1c\uc758 \ud130\ubbf8\ub110 \ub178\ub4dc\uac00 \uc788\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ub9ac\ud504 \ub178\ub4dc\uc5d0\ub294 \ud574\ub2f9 \ub178\ub4dc\uc5d0 \uc788\ub294 \ud50c\ub808\uc774\uc5b4\uc758 \uc608\uc0c1 \uae09\uc5ec\uc640 \ud574\ub2f9 \ub4f1\uae09\uc5d0 \uc18d\ud558\ub294 \uc6d0\ub798 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uad00\uce21\uce58 \uc218\uac00 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \uc6d0\ubcf8 \ub370\uc774\ud130\uc138\ud2b8\uc5d0\ub294 \uacbd\ub825\uc774 4.5\ub144 \ubbf8\ub9cc\uc778 \uc120\uc218\uac00 90\uba85 \uc788\uace0 \ud3c9\uade0 \uc5f0\ubd09\uc774 $225.83K\uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
\"R\uc758<\/p>\n
 4\ub2e8\uacc4: \ud2b8\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \uc6b0\ub9ac\ub294 \ucd5c\uc885 \uac00\uc9c0\uce58\uae30 \ud2b8\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc120\uc218\uc758 \uc218\ub144\uac04\uc758 \uacbd\ud5d8\uacfc \ud3c9\uade0 \ud648\ub7f0\uc744 \uae30\ubc18\uc73c\ub85c \ud574\ub2f9 \uc120\uc218\uc758 \uae09\uc5ec\ub97c \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \uacbd\ub825 7\ub144, \ud3c9\uade0 4\ud648\ub7f0\uc744 \ubcf4\uc720\ud55c \uc120\uc218\uc758 \uc608\uc0c1 \uc5f0\ubd09\uc740 $502.81k<\/strong> \uc785\ub2c8\ub2e4.<\/span> <\/p>\n
\"R\uc758<\/p>\n
 \uc774\ub97c \ud655\uc778\ud558\uae30 \uc704\ud574 R\uc758 \uc608\uce21()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #define new player\nnew <- data.frame(Years=7, HmRun=4)\n\n<\/span>#use pruned tree to predict salary of this player\npredict(pruned_tree, newdata=new)\n\n502.8079<\/span><\/span><\/span><\/strong><\/pre>\n
 \uc608\uc2dc 2: R\uc5d0\uc11c \ubd84\ub958 \ud2b8\ub9ac \uad6c\ucd95<\/strong><\/span><\/h3>\n
 \uc774 \uc608\uc5d0\uc11c\ub294 \ud0c0\uc774\ud0c0\ub2c9\uc5d0 \ud0d1\uc2b9\ud55c \uc2b9\uac1d\uc5d0 \ub300\ud55c \ub2e4\uc591\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c rpart.plot<\/strong> \ud328\ud0a4\uc9c0\uc758 ptitanic<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc6b0\ub9ac\ub294 \uc774 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc2b9\uac1d\uc758 \uc0dd\uc874 \uc5ec\ubd80\ub97c \uc608\uce21\ud558\uae30 \uc704\ud574 \uc608\uce21 \ubcc0\uc218 class<\/em> , \uc131\ubcc4<\/em> \ubc0f \uc5f0\ub839\uc744<\/em> \uc0ac\uc6a9\ud558\ub294 \ubd84\ub958 \ud2b8\ub9ac\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \ubd84\ub958 \ud2b8\ub9ac\ub97c \ub9cc\ub4e4\ub824\uba74 \ub2e4\uc74c \ub2e8\uacc4\ub97c \ub530\ub974\uc138\uc694.<\/span><\/p>\n
 1\ub2e8\uacc4: \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \uba3c\uc800 \uc774 \uc608\uc81c\uc5d0 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 library<\/span> (rpart) #for fitting decision trees<\/span>\nlibrary<\/span> (rpart.plot) #for plotting decision trees\n<\/span><\/strong><\/pre>\n
 2\ub2e8\uacc4: \ucd08\uae30 \ubd84\ub958 \ud2b8\ub9ac\ub97c \uad6c\ucd95\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \uba3c\uc800 \ub300\uaddc\ubaa8 \ucd08\uae30 \ubd84\ub958 \ud2b8\ub9ac\ub97c \uad6c\ucd95\ud569\ub2c8\ub2e4. “\ubcf5\uc7a1\uc131 \ub9e4\uac1c\ubcc0\uc218”\ub97c \uc758\ubbf8\ud558\ub294 cp<\/strong> \uc5d0 \uc791\uc740 \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b8\ub9ac\uac00 \ud06c\ub2e4\ub294 \uac83\uc744 \ubcf4\uc7a5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub294 \uc804\uccb4 \ubaa8\ub378 \uc801\ud569\ub3c4\uac00 \ucd5c\uc18c\ud55c cp\ub85c \uc9c0\uc815\ub41c \uac12\ub9cc\ud07c \uc99d\uac00\ud558\ub294 \ud55c \ubd84\ub958 \ud2b8\ub9ac\uc5d0\uc11c \ucd94\uac00 \ubd84\ud560\uc744 \uc218\ud589\ud55c\ub2e4\ub294 \uc758\ubbf8\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub7f0 \ub2e4\uc74c printcp()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378 \uacb0\uacfc\ub97c \uc778\uc1c4\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #build the initial tree\n<\/span>tree <- rpart(survived~pclass+sex+age, data=ptitanic, control=rpart. control<\/span> (cp= .0001<\/span> ))\n\n#view results<\/span>\nprintcp(tree)\n\nVariables actually used in tree construction:\n[1] age pclass sex   \n\nRoot node error: 500\/1309 = 0.38197\n\nn=1309 \n\n      CP nsplit rel error xerror xstd\n1 0.4240 0 1.000 1.000 0.035158\n2 0.0140 1 0.576 0.576 0.029976\n3 0.0095 3 0.548 0.578 0.030013\n4 0.0070 7 0.510 0.552 0.029517\n5 0.0050 9 0.496 0.528 0.029035\n6 0.0025 11 0.486 0.532 0.029117\n7 0.0020 19 0.464 0.536 0.029198\n8 0.0001 22 0.458 0.528 0.029035\n<\/span><\/span><\/strong><\/pre>\n
 3\ub2e8\uacc4: \ub098\ubb34\ub97c \uac00\uc9c0\uce58\uae30\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \ub2e4\uc74c\uc73c\ub85c, \uac00\uc7a5 \ub0ae\uc740 \ud14c\uc2a4\ud2b8 \uc624\ub958\ub85c \uc774\uc5b4\uc9c0\ub294 cp(\ubcf5\uc7a1\ub3c4 \ub9e4\uac1c\ubcc0\uc218)\uc5d0 \uc0ac\uc6a9\ud560 \ucd5c\uc801\uc758 \uac12\uc744 \ucc3e\uae30 \uc704\ud574 \ud68c\uadc0 \ud2b8\ub9ac\ub97c \uc815\ub9ac\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 cp\uc758 \ucd5c\uc801 \uac12\uc740 \uc774\uc804 \ucd9c\ub825\uc5d0\uc11c \uac00\uc7a5 \ub0ae\uc740 x \uc624\ub958<\/strong> \ub85c \uc774\uc5b4\uc9c0\ub294 \uac12\uc774\uba70, \uc774\ub294 \uad50\ucc28 \uac80\uc99d \ub370\uc774\ud130\uc758 \uad00\uce21\uac12\uc5d0 \ub300\ud55c \uc624\ub958\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span> <\/p>\n
 #identify best cp value to use\nbest <- tree$cptable[which. min<\/span> (tree$cptable[,\" xerror<\/span> \"]),\" CP<\/span> \"]\n\n#produce a pruned tree based on the best cp value\n<\/span>pruned_tree <- prune<\/span> (tree, cp=best)\n\n#plot the pruned tree\n<\/span>prp(pruned_tree,\n    faclen= 0<\/span> , #use full names for factor labels\n    extra= 1<\/span> , #display number of obs. for each terminal node\n    roundint= F<\/span> , #don't round to integers in output\n    digits= 5<\/span> ) #display 5 decimal places in output\n<\/span><\/span><\/span><\/strong><\/pre>\n
\"R\uc758<\/p>\n
 \ucd5c\uc885 \uac00\uc9c0\uce58\uae30 \ud2b8\ub9ac\uc5d0\ub294 10\uac1c\uc758 \ud130\ubbf8\ub110 \ub178\ub4dc\uac00 \uc788\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \ud130\ubbf8\ub110 \ub178\ub4dc\uc5d0\ub294 \uc0ac\ub9dd\ud55c \uc2b9\uac1d \uc218\uc640 \uc0dd\uc874\uc790 \uc218\uac00 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4, \uac00\uc7a5 \uc67c\ucabd \ub178\ub4dc\uc5d0\uc11c\ub294 664\uba85\uc758 \uc2b9\uac1d\uc774 \uc0ac\ub9dd\ud558\uace0 136\uba85\uc774 \uc0b4\uc544\ub0a8\uc740 \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
\"R\uc758<\/p>\n
 4\ub2e8\uacc4: \ud2b8\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc608\uce21\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 \ucd5c\uc885 \uac00\uc9c0\uce58\uae30 \ud2b8\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud074\ub798\uc2a4, \uc5f0\ub839, \uc131\ubcc4\uc744 \uae30\uc900\uc73c\ub85c \ud2b9\uc815 \uc2b9\uac1d\uc758 \uc0dd\uc874 \ud655\ub960\uc744 \uc608\uce21\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
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\"R\uc758<\/p>\n
 \uc5ec\uae30<\/a> \uc5d0\uc11c \uc774\ub7ec\ud55c \uc608\uc81c\uc5d0 \uc0ac\uc6a9\ub41c \uc804\uccb4 R \ucf54\ub4dc\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
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