{"id":2437,"date":"2023-07-22T06:42:15","date_gmt":"2023-07-22T06:42:15","guid":{"rendered":"https:\/\/statorials.org\/ko\/r-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6%e1%84%8b%e1%85%b5%e1%86%b7\/"},"modified":"2023-07-22T06:42:15","modified_gmt":"2023-07-22T06:42:15","slug":"r-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6%e1%84%8b%e1%85%b5%e1%86%b7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/r-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%92%e1%85%a1%e1%86%af-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3%e1%84%85%e1%85%a6%e1%84%8b%e1%85%b5%e1%86%b7\/","title":{"rendered":"R\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ubd84\ud560\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uc138 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc5ec\ub7ec \uac1c\uc758 \uc791\uc740 \ub370\uc774\ud130 \ube14\ub85d\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \ud589 \uac12\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc218\ub3d9\uc73c\ub85c \ubd84\ud560<\/strong><\/span><\/p>\n

 #define first n rows to include in first data frame<\/span>\nn <- 4\n\n#split data frame into two smaller data frames\n<\/span>df1 <- df[row. names<\/span> (df) %in%<\/span> 1:n, ]\ndf2 <- df[row. names<\/span> (df) %in%<\/span> (n+1):nrow(df), ]\n<\/strong><\/pre>\n
 \ubc29\ubc95 2: \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub3d9\uc77c\ud55c \ud06c\uae30\uc758 n\uac1c \ub370\uc774\ud130 \ud504\ub808\uc784\uc73c\ub85c \ub098\ub215\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 #define number of data frames to split into<\/span>\nn <- 3\n\n#split data frame into n equal-sized data frames<\/span>\nsplit(df, factor(sort(rank(row. names<\/span> (df)) %%<\/span> n)))\n<\/strong><\/pre>\n
 \ubc29\ubc95 3: \uc5f4 \uac12\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784 \ubd84\ud560<\/strong><\/span><\/p>\n
 #split data frame based on particular column value\n<\/span>df1 <- df[df$column_name ==<\/span> 0, ]\ndf2 <- df[df$column_name !=<\/span> 0, ]\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \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
 #create data frame\n<\/span>df <- data. frame<\/span> (ID=c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12),\n                 sales=c(7, 8, 8, 7, 9, 7, 8, 9, 3, 3, 14, 10),\n                 leads=c(0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0))\n\n#view data frame\n<\/span>df\n\n   Sales lead ID\n1 1 7 0\n2 2 8 0\n3 3 8 1\n4 4 7 1\n5 5 9 0\n6 6 7 1\n7 7 8 1\n8 8 9 0\n9 9 3 1\n10 10 3 0\n11 11 14 1\n12 12 10 0<\/strong><\/pre>\n
 \ubc29\ubc95 1: \ud589 \uac12\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc218\ub3d9\uc73c\ub85c \ubd84\ud560<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub450 \uac1c\uc758 \uc791\uc740 \ub370\uc774\ud130 \ube14\ub85d\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uccab \ubc88\uc9f8 \ube14\ub85d\uc5d0\ub294 \ub77c\uc778 1\ubd80\ud130 4\uae4c\uc9c0\uac00 \ud3ec\ud568\ub418\uace0 \ub450 \ubc88\uc9f8 \ube14\ub85d\uc5d0\ub294 \ub77c\uc778 5\ubd80\ud130 \ub9c8\uc9c0\ub9c9 \ub77c\uc778\uae4c\uc9c0 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 #define row to split on\nn <- 4\n\n#split into two data frames\n<\/span>df1 <- df[row. names<\/span> (df) %in%<\/span> 1:n, ]\ndf2 <- df[row. names<\/span> (df) %in%<\/span> (n+1):nrow(df), ]\n\n#view resulting data frames\n<\/span>df1\n\n  Sales lead ID\n1 1 7 0\n2 2 8 0\n3 3 8 1\n4 4 7 1\n\ndf2\n\n   Sales lead ID\n5 5 9 0\n6 6 7 1\n7 7 8 1\n8 8 9 0\n9 9 3 1\n10 10 3 0\n11 11 14 1\n12 12 10 0\n<\/span><\/span><\/strong><\/pre>\n
 \ubc29\ubc95 2: \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub3d9\uc77c\ud55c \ud06c\uae30\uc758 n\uac1c \ub370\uc774\ud130 \ud504\ub808\uc784\uc73c\ub85c \ub098\ub215\ub2c8\ub2e4.<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub3d9\uc77c\ud55c \ud06c\uae30\uc758 n\uac1c<\/em> \ub370\uc774\ud130 \ud504\ub808\uc784\uc73c\ub85c \ub098\ub204\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #define number of data frames to split into<\/span>\nn <- 3\n\n#split data frame into n equal-sized data frames<\/span>\nsplit(df, factor(sort(rank(row. names<\/span> (df)) %%<\/span> n)))\n\n$`0`\n  Sales lead ID\n1 1 7 0\n2 2 8 0\n3 3 8 1\n4 4 7 1\n\n$`1`\n  Sales lead ID\n5 5 9 0\n6 6 7 1\n7 7 8 1\n8 8 9 0\n\n$`2`\n   Sales lead ID\n9 9 3 1\n10 10 3 0\n11 11 14 1\n12 12 10 0\n<\/strong><\/pre>\n
 \uacb0\uacfc\ub294 \ub3d9\uc77c\ud55c \ud06c\uae30\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784 3\uac1c\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc29\ubc95 3: \uc5f4 \uac12\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784 \ubd84\ud560<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud2b9\uc815 \uc5f4\uc758 \uac12\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub450 \uac1c\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #split data frame based on particular column value\n<\/span>df1 <- df[df$leads ==<\/span> 0, ]\ndf2 <- df[df$leads !=<\/span> 0, ]\n\n#view resulting data frames\n<\/span>df1\n\n   Sales lead ID\n1 1 7 0\n2 2 8 0\n5 5 9 0\n8 8 9 0\n10 10 3 0\n12 12 10 0\n\ndf2\n\n   Sales lead ID\n3 3 8 1\n4 4 7 1\n6 6 7 1\n7 7 8 1\n9 9 3 1\n11 11 14 1<\/strong><\/pre>\n
 df1\uc5d0\ub294<\/strong> \uc6d0\ubcf8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c “leads”\uac00 0\uc778 \ubaa8\ub4e0 \ud589\uc774 \ud3ec\ud568\ub418\uace0 df2\uc5d0\ub294<\/strong> \uc6d0\ubcf8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c “leads”\uac00 1\uacfc \ub3d9\uc77c\ud55c \ubaa8\ub4e0 \ud589\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \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
 R\uc5d0\uc11c \uc5ec\ub7ec \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ubcd1\ud569\ud558\ub294 \ubc29\ubc95<\/a>
 R\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784 \uc5f4\uc744 \uc313\ub294 \ubc29\ubc95<\/a>
 R\uc758 \ub2e4\ub978 \uc5f4\uc744 \uae30\ubc18\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0 \uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uc138 \uac00\uc9c0 \ubc29\ubc95 \uc911 \ud558\ub098\ub97c \uc0ac\uc6a9\ud558\uc5ec R\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc5ec\ub7ec \uac1c\uc758 \uc791\uc740 \ub370\uc774\ud130 \ube14\ub85d\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \ud589 \uac12\uc744 \uae30\uc900\uc73c\ub85c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \uc218\ub3d9\uc73c\ub85c \ubd84\ud560 #define first n rows to include in first data frame n <- 4 #split data frame into two smaller data frames df1 <- df[row. names (df) %in% 1:n, […]<\/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-2437","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nR\uc5d0\uc11c \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ubd84\ud560\ud558\ub294 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