{"id":2218,"date":"2023-07-23T05:12:02","date_gmt":"2023-07-23T05:12:02","guid":{"rendered":"https:\/\/statorials.org\/my\/r-%e1%80%a1%e1%80%af%e1%80%95%e1%80%ba%e1%80%85%e1%80%af%e1%80%a1%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba-%e1%80%85%e1%80%ac%e1%80%9b%e1%80%84%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%84%e1%80%ba\/"},"modified":"2023-07-23T05:12:02","modified_gmt":"2023-07-23T05:12:02","slug":"r-%e1%80%a1%e1%80%af%e1%80%95%e1%80%ba%e1%80%85%e1%80%af%e1%80%a1%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba-%e1%80%85%e1%80%ac%e1%80%9b%e1%80%84%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%84%e1%80%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/r-%e1%80%a1%e1%80%af%e1%80%95%e1%80%ba%e1%80%85%e1%80%af%e1%80%a1%e1%80%9c%e1%80%ad%e1%80%af%e1%80%80%e1%80%ba-%e1%80%85%e1%80%ac%e1%80%9b%e1%80%84%e1%80%ba%e1%80%b8%e1%80%a1%e1%80%84%e1%80%ba\/","title":{"rendered":"R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u1014\u103e\u1005\u103a\u1001\u103b\u102f\u1015\u103a\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038 \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u1000\u103b\u1009\u103a\u1038\u1001\u103b\u102f\u1015\u103a\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- Base R \u1019\u103e tapply() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 tapply(df$value_col, df$group_col, summary)\n<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- dplyr package \u1019\u103e group_by() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 library<\/span> (dplyr)\n\ndf %>%\n  group_by<\/span> (group_col) %>% \n  summarize<\/span> (min = min(value_col),\n            q1 = quantile(value_col, 0.25<\/span> ),\n            median = median(value_col),\n            mean = mean(value_col),\n            q3 = quantile(value_col, 0.75<\/span> ),\n            max = max(value_col))<\/strong><\/span><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\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\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- Base R \u1019\u103e tapply() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u1000\u103b\u1009\u103a\u1038\u1001\u103b\u102f\u1015\u103a\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a R \u101b\u103e\u102d tapply()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1000\u102d\u102f \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> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 points=c(99, 68, 86, 88, 95, 74, 78, 93),\n                 assists=c(22, 28, 31, 35, 34, 45, 28, 31),\n                 rebounds=c(30, 28, 24, 24, 30, 36, 30, 29))\n\n#calculate summary statistics of 'points' grouped by 'team'\n<\/span>tapply(df$points, df$team, summary)\n\n$A\n   Min. 1st Qu. Median Mean 3rd Qu. Max. \n  68.00 81.50 87.00 85.25 90.75 99.00 \n\n$B\n   Min. 1st Qu. Median Mean 3rd Qu. Max. \n   74.0 77.0 85.5 85.0 93.5 95.0 \n<\/span><\/span><\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- dplyr package \u1019\u103e group_by() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u1000\u103b\u1009\u103a\u1038\u1001\u103b\u102f\u1015\u103a\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a dplyr<\/a> package \u101b\u103e\u102d group_by()<\/strong> \u1014\u103e\u1004\u1037\u103a summary()<\/strong> \u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 points=c(99, 68, 86, 88, 95, 74, 78, 93),\n                 assists=c(22, 28, 31, 35, 34, 45, 28, 31),\n                 rebounds=c(30, 28, 24, 24, 30, 36, 30, 29))\n\n#calculate summary statistics of 'points' grouped by 'team'\n<\/span>df %>%\n  group_by<\/span> (team) %>% \n  summarize<\/span> (min = min(points),\n            q1 = quantile(points, 0.25<\/span> ),\n            median = median(points),\n            mean = mean(points),\n            q3 = quantile(points, 0.75<\/span> ),\n            max = max(points))\n\n# A tibble: 2 x 7\n  team min q1 median mean q3 max\n         \n1 A 68 81.5 87 85.2 90.8 99\n2 B 74 77 85.5 85 93.5 95\n<\/span><\/span><\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101c\u102f\u1036\u1038\u101e\u100a\u103a \u1021\u1010\u102d\u1021\u1000\u103b\u1010\u1030\u100a\u102e\u101e\u1031\u102c\u101b\u101c\u1012\u103a\u1019\u103b\u102c\u1038 \u1015\u103c\u1014\u103a\u101c\u102c\u101e\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 dplyr \u1001\u103b\u1009\u103a\u1038\u1000\u1015\u103a\u1019\u103e\u102f\u101e\u100a\u103a \u1015\u102d\u102f\u1019\u102d\u102f\u1000\u103c\u102e\u1038\u1019\u102c\u1038\u101e\u1031\u102c\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1021\u1010\u103d\u1000\u103a \u1015\u102d\u102f\u1019\u102d\u102f\u1019\u103c\u1014\u103a\u1006\u1014\u103a\u1014\u102d\u102f\u1004\u103a\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u1005\u101c\u102f\u1036\u1038\u101e\u100a\u103a \u101e\u1031\u1038\u1004\u101a\u103a\u101e\u1031\u102c\u1012\u1031\u1010\u102c\u1018\u1031\u102c\u1004\u103a\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u101c\u102c\u1038\u1010\u1030\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1019\u100a\u103a\u1000\u102d\u102f \u101e\u1010\u102d\u1015\u103c\u102f\u101e\u1004\u1037\u103a\u1015\u102b\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><\/h3>\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\u101e\u1031\u102c \u1018\u102f\u1036\u1021\u102f\u1015\u103a\u1005\u102f\u1016\u103d\u1032\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\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 \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1000\u103c\u102d\u1019\u103a\u1014\u103e\u102f\u1014\u103a\u1038\u1007\u101a\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1015\u103b\u1019\u103a\u1038\u1019\u103b\u103e\u1010\u103d\u1000\u103a\u1014\u100a\u103a\u1038<\/a>
 R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1015\u1031\u102b\u1004\u103a\u1038\u1005\u100a\u103a\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u1000\u103b\u1009\u103a\u1038\u1001\u103b\u102f\u1015\u103a\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u101b\u1014\u103a \u1021\u1001\u103c\u1031\u1001\u1036\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- Base R \u1019\u103e tapply() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b tapply(df$value_col, df$group_col, summary) \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- dplyr package \u1019\u103e group_by() \u1000\u102d\u102f\u101e\u102f\u1036\u1038\u1015\u102b\u104b library (dplyr) df %>% group_by (group_col) %>% summarize (min = min(value_col), q1 = quantile(value_col, 0.25 ), median = median(value_col), mean = mean(value_col), q3 = quantile(value_col, 0.75 ), max = max(value_col)) \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f […]<\/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":"\nR - Statology \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a \u1021\u1014\u103e\u1005\u103a\u1001\u103b\u102f\u1015\u103a\u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1021\u1000\u103b\u1009\u103a\u1038\u1001\u103b\u102f\u1015\u103a\u1005\u102c\u101b\u1004\u103a\u1038\u1007\u101a\u102c\u1038\u1000\u102d\u102f R \u1010\u103d\u1004\u103a \u1010\u103d\u1000\u103a\u1001\u103b\u1000\u103a\u1014\u100a\u103a\u1038\u1000\u102d\u102f \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-\u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a-\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R - Statology \u1010\u103d\u1004\u103a 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content=\"https:\/\/statorials.org\/my\/r-\u1021\u102f\u1015\u103a\u1005\u102f\u1021\u101c\u102d\u102f\u1000\u103a-\u1005\u102c\u101b\u1004\u103a\u1038\u1021\u1004\u103a\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T05:12:02+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin Anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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