{"id":3972,"date":"2023-07-14T10:03:17","date_gmt":"2023-07-14T10:03:17","guid":{"rendered":"https:\/\/statorials.org\/uk\/r-%d0%bf%d1%96%d0%b4%d1%80%d0%b0%d1%85%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d0%b4%d1%83%d0%b1%d0%bb%d1%96%d0%ba%d0%b0%d1%82%d0%b8\/"},"modified":"2023-07-14T10:03:17","modified_gmt":"2023-07-14T10:03:17","slug":"r-%d0%bf%d1%96%d0%b4%d1%80%d0%b0%d1%85%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d0%b4%d1%83%d0%b1%d0%bb%d1%96%d0%ba%d0%b0%d1%82%d0%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/r-%d0%bf%d1%96%d0%b4%d1%80%d0%b0%d1%85%d1%83%d0%b2%d0%b0%d1%82%d0%b8-%d0%b4%d1%83%d0%b1%d0%bb%d1%96%d0%ba%d0%b0%d1%82%d0%b8\/","title":{"rendered":"\u042f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0438 \u0432 r: \u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043c\u0435\u0442\u043e\u0434\u0438 \u0434\u043b\u044f \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043a\u0443 \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0456\u0432 \u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445 \u0443 R:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u041f\u0456\u0434\u0440\u0430\u0445\u0443\u0439\u0442\u0435 \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>sum(duplicated(df$my_column))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043e\u043a \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0438\u0445 \u0440\u044f\u0434\u043a\u0456\u0432<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>nrow(df[duplicated(df), ])<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 3: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043e\u043a \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0456\u0432 \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430<\/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\ndf %&gt;% group_by_all() %&gt;% count<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u0445 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u0437 \u0442\u0430\u043a\u0438\u043c \u043a\u0430\u0434\u0440\u043e\u043c \u0434\u0430\u043d\u0438\u0445 \u0443 R:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame\n<\/span>df = data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                position=c('G', 'G', 'G', 'F', 'G', 'G', 'F', 'F'),\n                points=c(5, 5, 8, 10, 5, 7, 10, 10))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  team position points\n1 GA 5\n2 AG 5\n3 AG 8\n4 AF 10\n5 BG 5\n6 BG 7\n7 BF 10\n8 BF 10\n<\/span><\/span><\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043e\u043a \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0443 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0431\u0430\u043b\u0456\u0432<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\"><span style=\"color: #008080;\">#count number of duplicate values in points column\n<\/span><span style=\"color: #000000;\">sum(duplicated(df$points))\n\n[1] 4<\/span><\/span><\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 <strong>\u0431\u0430\u043b\u0456\u0432<\/strong> \u0454 <strong>4<\/strong> \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043e\u043a \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0438\u0445 \u0440\u044f\u0434\u043a\u0456\u0432<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0438\u0445 \u0440\u044f\u0434\u043a\u0456\u0432 \u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\"><span style=\"color: #008080;\">#count number of duplicate rows<\/span>\n<span style=\"color: #000000;\">nrow(df[duplicated(df), ])\n\n[1] 2<\/span><\/span><\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e \u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445 \u0454 <strong>2<\/strong> \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456 \u0440\u044f\u0434\u043a\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441, \u0449\u043e\u0431 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u0438 \u0446\u0456 2 \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456 \u0440\u044f\u0434\u043a\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\"><span style=\"color: #008080;\">#display duplicated rows<\/span>\n<span style=\"color: #000000;\">df[duplicated(df), ]\n\n  team position points\n2 AG 5\n8 BF 10\n<\/span><\/span><\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043e\u043a \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0456\u0432 \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u0432\u0430\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0456\u0432 \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 \u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#count number of duplicate rows in data frame\n<\/span>df %&gt;% group_by_all() %&gt;% count\n\n# A tibble: 6 x 4\n# Groups: team, position, points [6]\n  team position points n\n         \n1 AF 10 1\n2 AG 5 2\n3 GA 8 1\n4 BF 10 2\n5 BG 5 1\n6 BG 7 1<\/strong><\/span><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u0442\u043e\u0432\u043f\u0435\u0446\u044c <b>n<\/b> \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0456\u0432 \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u0437\u0430\u0432\u0434\u0430\u043d\u043d\u044f \u0432 R:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/dplyr-\u0437\u043d\u0430\u0438\u0442\u0438-\u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0438\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456 \u0435\u043b\u0435\u043c\u0435\u043d\u0442\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e dplyr<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438-\u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456-\u0440\u044f\u0434\u043a\u0438-\u0432-r\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456 \u0440\u044f\u0434\u043a\u0438 \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/r-\u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438-\u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0438-\u0437\u0430\u043b\u0438\u0448\u0438\u0442\u0438-\u043d\u0456\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u0434\u0430\u043b\u0438\u0442\u0438 \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456 \u0440\u044f\u0434\u043a\u0438 \u0432 R, \u0449\u043e\u0431 \u0457\u0445 \u043d\u0435 \u0437\u0430\u043b\u0438\u0448\u0438\u043b\u043e\u0441\u044f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043c\u0435\u0442\u043e\u0434\u0438 \u0434\u043b\u044f \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043a\u0443 \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0456\u0432 \u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445 \u0443 R: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u041f\u0456\u0434\u0440\u0430\u0445\u0443\u0439\u0442\u0435 \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0432 \u0441\u0442\u043e\u0432\u043f\u0446\u0456 sum(duplicated(df$my_column)) \u0421\u043f\u043e\u0441\u0456\u0431 2: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043e\u043a \u043f\u043e\u0432\u0442\u043e\u0440\u044e\u0432\u0430\u043d\u0438\u0445 \u0440\u044f\u0434\u043a\u0456\u0432 nrow(df[duplicated(df), ]) \u0421\u043f\u043e\u0441\u0456\u0431 3: \u043f\u0456\u0434\u0440\u0430\u0445\u0443\u043d\u043e\u043a \u0434\u0443\u0431\u043b\u0456\u043a\u0430\u0442\u0456\u0432 \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0443\u043d\u0456\u043a\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0440\u044f\u0434\u043a\u0430 library (dplyr) df %&gt;% group_by_all() %&gt;% count \u0423 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0445 \u043d\u0438\u0436\u0447\u0435 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u0445 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u0437 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