{"id":1776,"date":"2023-07-25T00:53:50","date_gmt":"2023-07-25T00:53:50","guid":{"rendered":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%8c%e1%85%ae%e1%86%af-%e1%84%89%e1%85%a1%e1%86%a8%e1%84%8c%e1%85%a6\/"},"modified":"2023-07-25T00:53:50","modified_gmt":"2023-07-25T00:53:50","slug":"r%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%8c%e1%85%ae%e1%86%af-%e1%84%89%e1%85%a1%e1%86%a8%e1%84%8c%e1%85%a6","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%8c%e1%85%ae%e1%86%af-%e1%84%89%e1%85%a1%e1%86%a8%e1%84%8c%e1%85%a6\/","title":{"rendered":"R\uc5d0\uc11c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \ud2b9\uc815 \uc904 \ubc88\ud638\ub97c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#remove 4th row<\/span>\nnew_df &lt;- df[-c(4), ]\n\n<span style=\"color: #008080;\">#remove 2nd through 4th row<\/span>\nnew_df &lt;- df[-c(2:4), ]\n\n<span style=\"color: #008080;\">#remove 1st, 2nd, and 4th row<\/span>\nnew_df &lt;- df[-c(1, 2, 4), ]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc870\uac74\uc744 \ucda9\uc871\ud558\uc9c0 \uc54a\ub294 \ud589\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#only keep rows where col1 value is less than 10 and col2 value is less than 6<\/span>\nnew_df &lt;- subset(df, col1 <span style=\"color: #3366ff;\">&lt;<\/span> 10 <span style=\"color: #3366ff;\">&amp;<\/span> col2 <span style=\"color: #3366ff;\">&lt;<\/span> 6)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uadf8\ub9ac\uace0 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub4e0 \uc5f4\uc5d0\uc11c NA \uac12\uc774 \uc788\ub294 \ud589\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#remove rows with NA value in any column<\/span>\nnew_df &lt;- na. <span style=\"color: #3366ff;\">omitted<\/span> (df)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774\ub7ec\ud55c \uac01 \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\uc2dc 1: \uc22b\uc790\ubcc4\ub85c \ud589 \uc0ad\uc81c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 R\uc5d0\uc11c \ud2b9\uc815 \ud589 \ubc88\ud638\ub85c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (player=c('A', 'B', 'C', 'D', 'E'),\n                 pts=c(17, 12, 8, 9, 25),\n                 rebs=c(3, 3, 6, 5, 8),\n                 blocks=c(1, 1, 2, 4, NA))<\/span>\n\n#view data frame\n<span style=\"color: #000000;\">df<\/span>\n<span style=\"color: #000000;\">\n  player pts rebs blocks\n1 to 17 3 1\n2 B 12 3 1\n3 C 8 6 2\n4 D 9 5 4\n5 E 25 8 NA\n<\/span>\n#remove 4th row<\/span>\ndf[-c(4), ]\n\n  player pts rebs blocks\n1 to 17 3 1\n2 B 12 3 1\n3 C 8 6 2\n5 E 25 8 NA\n\n<span style=\"color: #008080;\">#remove 2nd through 4th row<\/span>\ndf[-c(2:4), ]\n\n  player pts rebs blocks\n1 to 17 3 1\n5 E 25 8 NA\n\n<span style=\"color: #008080;\">#remove 1st, 2nd, and 4th row<\/span>\ndf[-c(1, 2, 4), ]\n\n  player pts rebs blocks\n3 C 8 6 2\n5 E 25 8 NA\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 2: \uc870\uac74\uc5d0 \ub530\ub77c \ud589 \uc0ad\uc81c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ud2b9\uc815 \uc870\uac74\uc744 \ucda9\uc871\ud558\uc9c0 \uc54a\ub294 \ud589\uc744 \uc81c\uac70\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (player=c('A', 'B', 'C', 'D', 'E'),\n                 pts=c(17, 12, 8, 9, 25),\n                 rebs=c(3, 3, 6, 5, 8),\n                 blocks=c(1, 1, 2, 4, NA))<\/span>\n\n#view data frame\n<span style=\"color: #000000;\">df<\/span>\n<span style=\"color: #000000;\">\n  player pts rebs blocks\n1 to 17 3 1\n2 B 12 3 1\n3 C 8 6 2\n4 D 9 5 4\n5 E 25 8 NA\n<\/span>\n#only keep rows where pts is less than 10 and rebs is less than 6<\/span>\nsubset(df, pts <span style=\"color: #3366ff;\">&lt;<\/span> 10 <span style=\"color: #3366ff;\">&amp;<\/span> rebs <span style=\"color: #3366ff;\">&lt;<\/span> 6)\n\n  player pts rebs blocks\n4 D 9 5 4\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 3: NA \uac12\uc774 \uc788\ub294 \ud589 \uc0ad\uc81c<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ud589\uc5d0\uc11c NA \uac12\uc774 \uc788\ub294 \ud589\uc744 \uc81c\uac70\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (player=c('A', 'B', 'C', 'D', 'E'),\n                 pts=c(17, 12, 8, 9, 25),\n                 rebs=c(3, 3, 6, 5, 8),\n                 blocks=c(1, 1, 2, 4, NA))<\/span>\n\n#view data frame\n<span style=\"color: #000000;\">df<\/span>\n<span style=\"color: #000000;\">\n  player pts rebs blocks\n1 to 17 3 1\n2 B 12 3 1\n3 C 8 6 2\n4 D 9 5 4\n5 E 25 8 NA\n<\/span>\n#remove rows with NA value in any row:<\/span>\nn \/ A. <span style=\"color: #3366ff;\">omitted<\/span> (df)\n\n  player pts rebs blocks\n1 to 17 3 1\n2 B 12 3 1\n3 C 8 6 2\n4 D 9 5 4\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <a href=\"https:\/\/statorials.org\/ko\/r-\u1103\u1166\u110b\u1175\u1110\u1165\u1111\u1173\u1105\u1166\u110b\u1175\u11b7\u110b\u1166-\u110e\u116e\u1100\u1161\/\" target=\"_blank\" rel=\"noopener\">R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 \ud589\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><br \/> <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\">R\uc5d0\uc11c \uc911\ubcf5 \uc904\uc744 \uc81c\uac70\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-\u1110\u1173\u11a8\u110c\u1165\u11bc-\u1112\u1162\u11bc\u110b\u1174-\u1112\u1161\u11b8\/\" target=\"_blank\" rel=\"noopener\">R\uc5d0\uc11c \ud2b9\uc815 \ud589\uc744 \ud569\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \ud2b9\uc815 \uc904 \ubc88\ud638\ub97c \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #remove 4th row new_df &lt;- df[-c(4), ] #remove 2nd through 4th row new_df &lt;- df[-c(2:4), ] #remove 1st, 2nd, and 4th row new_df &lt;- df[-c(1, 2, 4), ] \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc870\uac74\uc744 \ucda9\uc871\ud558\uc9c0 \uc54a\ub294 \ud589\uc744 \uc81c\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #only keep rows where col1 value [&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-1776","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin 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