{"id":4442,"date":"2023-07-11T02:34:12","date_gmt":"2023-07-11T02:34:12","guid":{"rendered":"https:\/\/statorials.org\/my\/r-%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%85%e1%80%bd%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%90%e1%80%b0%e1%80%8a%e1%80%ae%e1%80%99\/"},"modified":"2023-07-11T02:34:12","modified_gmt":"2023-07-11T02:34:12","slug":"r-%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%85%e1%80%bd%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%90%e1%80%b0%e1%80%8a%e1%80%ae%e1%80%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/r-%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%99%e1%80%bb%e1%80%ac%e1%80%b8%e1%80%85%e1%80%bd%e1%80%ac%e1%80%9e%e1%80%8a%e1%80%ba-%e1%80%90%e1%80%b0%e1%80%8a%e1%80%ae%e1%80%99\/","title":{"rendered":"A- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 library<\/span> (dplyr)\n\n#create new column that checks if all columns are equal\n<\/span>df <- df %>%\n        rowwise %>%\n        mutate(match = n_distinct(unlist(cur_data())) == 1<\/span> ) %>%\n        A group()\n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 library<\/span> (dplyr)\n\n#create new column that checks if columns 'A', 'C', and 'D' are equal\n<\/span>df_temp <- df %>%\n             select(' A<\/span> ', ' C<\/span> ', ' D<\/span> ') %>%\n             rowwise %>%\n             mutate(match = n_distinct(unlist(cur_data())) == 1<\/span> ) %>%\n             A group()\n\n#add new column to existing data frame\n<\/span>df$match <- df_temp$match\n<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1016\u103c\u1004\u1037\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 #create data frame\n<\/span>df = data. frame<\/span> (A=c(4, 0, 3, 3, 6, 8, 7),\n                B=c(4, 2, 3, 5, 6, 4, 7),\n                C=c(4, 0, 3, 3, 5, 10, 7),\n                D=c(4, 0, 3, 3, 3, 8, 7))\n\n#view data frame\n<\/span>df\n\n  ABCD\n1 4 4 4 4\n2 0 2 0 0\n3 3 3 3 3\n4 3 5 3 3\n5 6 6 5 3\n6 8 4 10 8\n7 7 7 7 7<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 1-<\/strong><\/span> \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u102c\u1038\u101c\u102f\u1036\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d<\/strong><\/span> \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b<\/h2>\n
 \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u100a\u102e\u1019\u103b\u103e\u1001\u103c\u1004\u103a\u1038\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#create new column that checks if all columns are equal\n<\/span>df <- df %>%\n        rowwise %>%\n        mutate(match = n_distinct(unlist(cur_data())) == 1<\/span> ) %>%\n        A group()\n\n#view updated data frame<\/span>\ndf\n\n# A tibble: 7 x 5\n      ABCD match\n      \n1 4 4 4 4 TRUE \n2 0 2 0 0 FALSE\n3 3 3 3 3 TRUE \n4 3 5 3 3 FALSE\n5 6 6 5 3 FALSE\n6 8 4 10 8 FALSE\n7 7 7 7 7 TRUE \n<\/strong><\/pre>\n
 \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u104f\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u1015\u102b\u1000\u104a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101e\u1031\u102c<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101e\u100a\u103a True<\/strong> \u1015\u103c\u1014\u103a\u1015\u1031\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1019\u101f\u102f\u1010\u103a\u1015\u102b\u1000 False<\/strong> \u1015\u103c\u1014\u103a\u1010\u1000\u103a\u101c\u102c\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1010\u102d\u102f\u1004\u103a\u1038 as.numeric() \u1000\u102d\u102f<\/strong> \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u104d True<\/strong> \u1014\u103e\u1004\u1037\u103a False<\/strong> \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f 1<\/strong> \u1014\u103e\u1004\u1037\u103a 0<\/strong> \u101e\u102d\u102f\u1037 \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#create new column that checks if all columns are equal\n<\/span>df <- df %>%\n        rowwise %>%\n        mutate(match = as. numeric<\/span> (n_distinct(unlist(cur_data())) == 1<\/span> )) %>%\n        A group()\n\n#view updated data frame<\/span>\ndf\n\n# A tibble: 7 x 5\n      ABCD match\n      \n1 4 4 4 4 1\n2 0 2 0 0 0\n3 3 3 3 3 1\n4 3 5 3 3 0\n5 6 6 5 3 0\n6 8 4 10 8 0\n7 7 7 7 7 1\n<\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 2- \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u104f \u1000\u1031\u102c\u103a\u101c\u1036 A\u104a C \u1014\u103e\u1004\u1037\u103a D \u101b\u103e\u102d \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1010\u1014\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1021\u1010\u103d\u1000\u103a \u100a\u102e\u1019\u103b\u103e\u1001\u103c\u1004\u103a\u1038\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b syntax \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#create new column that checks if columns 'A', 'C', and 'D' are equal\n<\/span>df_temp <- df %>%\n             select(' A<\/span> ', ' C<\/span> ', ' D<\/span> ') %>%\n             rowwise %>%\n             mutate(match = n_distinct(unlist(cur_data())) == 1<\/span> ) %>%\n             A group()\n\n#add new column to existing data frame\n<\/span>df$match <- df_temp$match\n\n#view updated data frame<\/span>\ndf\n\n  ABCD match\n1 4 4 4 4 TRUE\n2 0 2 0 0 TRUE\n3 3 3 3 3 TRUE\n4 3 5 3 3 TRUE\n5 6 6 5 3 FALSE\n6 8 4 10 8 FALSE\n7 7 7 7 7 TRUE\n<\/strong><\/pre>\n
 \u1000\u1031\u102c\u103a\u101c\u1036 A\u104a C\u104a \u1014\u103e\u1004\u1037\u103a D \u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1019\u103b\u102c\u1038 \u1010\u1030\u100a\u102e\u1015\u102b\u1000\u104a \u1000\u102d\u102f\u1000\u103a\u100a\u102e\u101e\u1031\u102c<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101e\u100a\u103a True \u1016\u103c\u1005\u103a\u101e\u100a\u103a<\/strong> \u104b<\/span><\/p>\n
 \u1019\u101f\u102f\u1010\u103a\u1015\u102b\u1000 False<\/strong> \u1015\u103c\u1014\u103a\u1010\u1000\u103a\u101c\u102c\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a R \u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u1021\u101c\u102f\u1015\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 R \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1005\u102e\u101b\u1014\u103a<\/a>
 R \u1010\u103d\u1004\u103a \u1021\u1001\u103b\u102d\u102f\u1037\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1011\u102d\u1014\u103a\u1038\u101e\u102d\u1019\u103a\u1038\u1014\u100a\u103a\u1038<\/a>
 R \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1016\u103c\u1005\u103a\u1015\u103d\u102c\u1038\u1019\u103e\u102f\u1021\u101b\u1031\u1021\u1010\u103d\u1000\u103a\u1000\u102d\u102f \u101b\u1031\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b library (dplyr) #create new column that checks if all columns are equal df <- df %>% rowwise %>% mutate(match = n_distinct(unlist(cur_data())) == 1 ) %>% A group() \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1011\u102c\u1038\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1015\u102b\u104b library (dplyr) #create new column that checks if columns ‘A’, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nA- \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u100a\u103a\u1038 - Statology<\/title>\n<meta name=\"description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u1001\u103c\u1004\u103a\u1038\u101b\u103e\u102d\u104a \u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/r-\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u100a\u103a-\u1010\u1030\u100a\u102e\u1019\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A- \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u103b\u102c\u1038\u1021\u1015\u103c\u102c\u1038 \u1010\u1030\u100a\u102e\u1019\u103e\u102f\u101b\u103e\u102d\u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u100a\u103a\u1038 - Statology\" \/>\n<meta property=\"og:description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a R \u101b\u103e\u102d \u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u100a\u103a \u1010\u1030\u100a\u102e\u1001\u103c\u1004\u103a\u1038\u101b\u103e\u102d\u104a \u1019\u101b\u103e\u102d \u1005\u1005\u103a\u1006\u1031\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f 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