{"id":3099,"date":"2023-07-19T05:18:21","date_gmt":"2023-07-19T05:18:21","guid":{"rendered":"https:\/\/statorials.org\/ko\/r-%e1%84%87%e1%85%a6%e1%86%a8%e1%84%90%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%80%e1%85%b5%e1%84%87%e1%85%a1%e1%86%ab%e1%84%8b%e1%85%b3%e1%84%85\/"},"modified":"2023-07-19T05:18:21","modified_gmt":"2023-07-19T05:18:21","slug":"r-%e1%84%87%e1%85%a6%e1%86%a8%e1%84%90%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%80%e1%85%b5%e1%84%87%e1%85%a1%e1%86%ab%e1%84%8b%e1%85%b3%e1%84%85","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r-%e1%84%87%e1%85%a6%e1%86%a8%e1%84%90%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%80%e1%85%b5%e1%84%87%e1%85%a1%e1%86%ab%e1%84%8b%e1%85%b3%e1%84%85\/","title":{"rendered":"A: \ubca1\ud130 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubca1\ud130 \uac12\uc744 \uae30\ubc18\uc73c\ub85c R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \uae30\ubcf8 R \uc0ac\uc6a9<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong>new_df &lt;- df[df$column_name <span style=\"color: #3366ff;\">%in%<\/span> values_vector, ]\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 2: dplyr \ud328\ud0a4\uc9c0 \uc0ac\uc6a9<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n\nnew_df &lt;- df %&gt;% filter(column_name <span style=\"color: #3366ff;\">%in%<\/span> values_vector)\n<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 R\uc758 \ub2e4\uc74c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (division=c('West', 'West', 'East', 'East', 'North'),\n                 points=c(120, 100, 104, 98, 105),\n                 assists=c(30, 35, 64, 28, 23))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  assists points division\n1 West 120 30\n2 West 100 35\n3 East 104 64\n4 East 98 28\n5 North 105 23\n<\/strong><\/span><\/pre>\n<h3> <strong><span style=\"color: #000000;\">\uc608 1: Base R\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubca1\ud130 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ud589 \uc120\ud0dd<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uba74 <strong>\ubd84\ud560<\/strong> \uc5f4\uc758 \uac12\uc774 &#8220;West&#8221; \ub610\ub294 &#8220;North&#8221;\uc778 \uc6d0\ubcf8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \ud589\ub9cc \uc120\ud0dd\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;\">#define values of interest\n<span style=\"color: #000000;\">my_values &lt;- c(' <span style=\"color: #ff0000;\">West<\/span> ', ' <span style=\"color: #ff0000;\">North<\/span> ')\n\n<span style=\"color: #008080;\">#select rows that contain 'West' or 'North' in division column\n<\/span>new_df &lt;- df[df$division %in% my_values, ]\n\n<span style=\"color: #008080;\">#view results\n<\/span>new_df\n\n  assists points division\n1 West 120 30\n2 West 100 35\n5 North 105 23\n<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\ub294 <strong>\ub098\ub204\uae30<\/strong> \uc5f4\uc758 \uac12\uc774 &#8220;West&#8221; \ub610\ub294 &#8220;North&#8221;\uc640 \uac19\uc740 \ud589\ub9cc \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n<h3> <strong><span style=\"color: #000000;\">\uc608 2: dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubca1\ud130 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ud589 \uc120\ud0dd<\/span><\/strong><\/h3>\n<p> <span style=\"color: #000000;\">\ub610\ud55c R\uc758 <a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">dplyr<\/a> \ud328\ud0a4\uc9c0\uc5d0 \uc788\ub294 <strong>filter()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec <strong>\ubd84\ud560<\/strong> \uc5f4\uc758 \uac12\uc774 &#8220;West&#8221; \ub610\ub294 &#8220;North&#8221;\uc778 \uc6d0\ubcf8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \ud589\ub9cc \uc120\ud0dd\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (dplyr)<\/span>\n\n#define values of interest\n<span style=\"color: #000000;\">my_values &lt;- c(' <span style=\"color: #ff0000;\">West<\/span> ', ' <span style=\"color: #ff0000;\">North<\/span> ')\n\n<span style=\"color: #008080;\">#select rows that contain 'West' or 'North' in division column\n<\/span>new_df &lt;- df %&gt;% filter(division <span style=\"color: #3366ff;\">%in%<\/span> my_values)\n\n<span style=\"color: #008080;\">#view results\n<\/span>new_df\n\n  assists points division\n1 West 120 30\n2 West 100 35\n3 North 105 23\n<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\uc0c8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\ub294 <strong>\ub098\ub204\uae30<\/strong> \uc5f4\uc758 \uac12\uc774 &#8220;West&#8221; \ub610\ub294 &#8220;North&#8221;\uc640 \uac19\uc740 \ud589\ub9cc \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : \uae30\ubcf8 R \ubc0f dplyr \ubc29\ubc95\uc740 \ub3d9\uc77c\ud55c \uacb0\uacfc\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub9e4\uc6b0 \ud070 \ub370\uc774\ud130 \ud504\ub808\uc784\uc73c\ub85c \uc791\uc5c5\ud560 \ub54c\ub294 dplyr \ubc29\ubc95\uc774 \ub354 \ube60\ub978 \uacbd\ud5a5\uc774 \uc788\uc2b5\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\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\/dplyr\u110b\u1173\u11ab-\u110b\u1175\u11b7\u110b\u1174\u110b\u1174-\u1112\u1162\u11bc\u110b\u1173\u11af-\u1109\u1165\u11ab\u1110\u1162\u11a8\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \uc784\uc758\uc758 \uc120\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r-\u110c\u1169\u1100\u1165\u11ab\u110b\u1166-\u1104\u1161\u1105\u1161-\u1112\u1162\u11bc-\u1109\u1165\u11ab\u1110\u1162\u11a8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \uc870\uac74\uc5d0 \ub530\ub77c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a><br \/> R\uc758 \ubaa8\ub4e0 \uc5f4\uc5d0 \uac12\uc774 \ub098\ud0c0\ub098\ub294 \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubca1\ud130 \uac12\uc744 \uae30\ubc18\uc73c\ub85c R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \uae30\ubcf8 R \uc0ac\uc6a9 new_df &lt;- df[df$column_name %in% values_vector, ] \ubc29\ubc95 2: dplyr \ud328\ud0a4\uc9c0 \uc0ac\uc6a9 library (dplyr) new_df &lt;- df %&gt;% filter(column_name %in% values_vector) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 R\uc758 \ub2e4\uc74c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. #create data [&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-3099","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>A: \ubca1\ud130 \uac12\uc744 \uae30\ubc18\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\ub97c \ud1b5\ud574 \ubca1\ud130 \uac12\uc744 \uae30\ubc18\uc73c\ub85c R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, 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