{"id":1761,"date":"2023-07-25T02:12:20","date_gmt":"2023-07-25T02:12:20","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%81%d1%83%d0%bc%d0%b0-%d0%b7%d0%b0-%d0%b3%d1%80%d1%83%d0%bf%d0%be%d1%8e-%d0%b2-r\/"},"modified":"2023-07-25T02:12:20","modified_gmt":"2023-07-25T02:12:20","slug":"%d1%81%d1%83%d0%bc%d0%b0-%d0%b7%d0%b0-%d0%b3%d1%80%d1%83%d0%bf%d0%be%d1%8e-%d0%b2-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%81%d1%83%d0%bc%d0%b0-%d0%b7%d0%b0-%d0%b3%d1%80%d1%83%d0%bf%d0%be%d1%8e-%d0%b2-r\/","title":{"rendered":"\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0443\u043c\u0443 \u0437\u0430 \u0433\u0440\u0443\u043f\u043e\u044e \u0432 r (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)"},"content":{"rendered":"

<\/p>\n

\n

\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435 \u0437\u043d\u0430\u0434\u043e\u0431\u0438\u0442\u0438\u0441\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0443\u043c\u0443 \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0457 \u0433\u0440\u0443\u043f\u0438 \u0432 R. \u0414\u043b\u044f \u0446\u044c\u043e\u0433\u043e \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0440\u0438 \u043c\u0435\u0442\u043e\u0434\u0438:<\/span><\/p>\n

\u0421\u043f\u043e\u0441\u0456\u0431 1. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 \u0431\u0430\u0437\u0443 R.<\/strong><\/span><\/p>\n

 aggregate(df$col_to_aggregate, list(df$col_to_group_by), FUN= sum<\/span> )<\/span><\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 2. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 \u043f\u0430\u043a\u0435\u0442 dplyr().<\/strong><\/span><\/p>\n
 library<\/span> (dplyr)\n\ndf %>%\n  group_by<\/span> (col_to_group_by) %>%\n  summarize<\/span> (Freq = sum<\/span> (col_to_aggregate))\n<\/b><\/span><\/pre>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 3. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 \u043f\u0430\u043a\u0435\u0442 data.table.<\/strong><\/span><\/p>\n
 library<\/span> (data.table)\n\ndt[ ,list(sum= sum<\/span> (col_to_aggregate)), by=col_to_group_by]\n<\/b><\/span><\/pre>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438 \u043f\u043e\u043a\u0430\u0437\u0443\u044e\u0442\u044c, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u0456\u0437 \u0446\u0438\u0445 \u043c\u0435\u0442\u043e\u0434\u0456\u0432 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456.<\/span><\/p>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 1: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0441\u0443\u043c\u0443 \u043d\u0430 \u0433\u0440\u0443\u043f\u0443 \u0437\u0430 \u043e\u0441\u043d\u043e\u0432\u043e\u044e R<\/strong><\/span><\/h3>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \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 \u0444\u0443\u043d\u043a\u0446\u0456\u044e Aggregate()<\/strong> \u0431\u0430\u0437\u0438 \u0434\u0430\u043d\u0438\u0445 R \u0434\u043b\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u0441\u0443\u043c\u0438 \u043e\u0447\u043e\u043a, \u043d\u0430\u0431\u0440\u0430\u043d\u0438\u0445 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u044e, \u0443 \u0442\u0430\u043a\u043e\u043c\u0443 \u043a\u0430\u0434\u0440\u0456 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n
 #create data frame<\/span>\ndf <- data.frame(team=c('a', 'a', 'b', 'b', 'b', 'c', 'c'),\n                 pts=c(5, 8, 14, 18, 5, 7, 7),\n                 rebs=c(8, 8, 9, 3, 8, 7, 4))\n\n#view data frame<\/span>\ndf\n\n  team pts rebs\n1 to 5 8\n2 to 8 8\n3 b 14 9\n4 b 18 3\n5 b 5 8\n6 c 7 7\n7 c 7 4\n\n#find sum of points scored by team\n<\/span><\/span>aggregate(df$pts, list(df$team), FUN= sum<\/span> )\n\n  Group.1 x\n1 to 13\n2 b 37\n3 v 14\n<\/span><\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 2: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0441\u0443\u043c\u0443 \u0437\u0430 \u0433\u0440\u0443\u043f\u043e\u044e \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e dplyr<\/strong><\/span><\/h3>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \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 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 group_by()<\/strong> \u0456 summarise()<\/strong> \u043f\u0430\u043a\u0435\u0442\u0430 dplyr<\/strong> \u0434\u043b\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u0441\u0443\u043c\u0438 \u043e\u0447\u043e\u043a, \u043d\u0430\u0431\u0440\u0430\u043d\u0438\u0445 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u044e, \u0443 \u0442\u0430\u043a\u043e\u043c\u0443 \u0444\u0440\u0435\u0439\u043c\u0456 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n
 library<\/span> (dplyr)<\/span><\/b>\n\n#create data frame<\/span>\ndf <- data.frame(team=c('a', 'a', 'b', 'b', 'b', 'c', 'c'),\n                 pts=c(5, 8, 14, 18, 5, 7, 7),\n                 rebs=c(8, 8, 9, 3, 8, 7, 4))\n\n#find sum of points scored by team<\/span>\ndf %>%\ngroup_by<\/span> (team) %>%\nsummarize<\/span> (Freq = sum<\/span> (pts))\n\n# A tibble: 3 x 2\n  team Freq\n  <chr> <dbl>\n1 to 13\n2 b 37\n3 v 14<\/b>\n<\/span><\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u0456\u0431 3: \u043e\u0431\u0447\u0438\u0441\u043b\u0456\u0442\u044c \u0441\u0443\u043c\u0443 \u0437\u0430 \u0433\u0440\u0443\u043f\u043e\u044e \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e data.table<\/strong><\/span><\/h3>\n
 \u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \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 \u043f\u0430\u043a\u0435\u0442 data.table<\/strong> \u0434\u043b\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044f \u0441\u0443\u043c\u0438 \u043e\u0447\u043e\u043a, \u043d\u0430\u0431\u0440\u0430\u043d\u0438\u0445 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u044e, \u0443 \u0442\u0430\u043a\u043e\u043c\u0443 \u0444\u0440\u0435\u0439\u043c\u0456 \u0434\u0430\u043d\u0438\u0445:<\/span><\/p>\n
 library<\/span> (data.table)<\/span><\/b>\n\n#create data frame<\/span>\ndf <- data.frame(team=c('a', 'a', 'b', 'b', 'b', 'c', 'c'),\n                 pts=c(5, 8, 14, 18, 5, 7, 7),\n                 rebs=c(8, 8, 9, 3, 8, 7, 4))\n\n#convert data frame to data table<\/span> \nsetDT(df)\n\n#find sum of points scored by team<\/span>\ndf[,list(sum= sum<\/span> (pts)), by=team]\n\n   team sum\n1:a 13\n2:b37\n3:c14<\/b><\/span><\/strong><\/pre>\n
 \u0417\u0430\u0443\u0432\u0430\u0436\u0442\u0435, \u0449\u043e \u0432\u0441\u0456 \u0442\u0440\u0438 \u043c\u0435\u0442\u043e\u0434\u0438 \u043f\u043e\u0432\u0435\u0440\u0442\u0430\u044e\u0442\u044c \u0456\u0434\u0435\u043d\u0442\u0438\u0447\u043d\u0456 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430.<\/strong> \u042f\u043a\u0449\u043e \u0443 \u0432\u0430\u0441 \u043d\u0430\u0434\u0437\u0432\u0438\u0447\u0430\u0439\u043d\u043e \u0432\u0435\u043b\u0438\u043a\u0438\u0439 \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445, \u043c\u0435\u0442\u043e\u0434 data.table \u043f\u0440\u0430\u0446\u044e\u0432\u0430\u0442\u0438\u043c\u0435 \u043d\u0430\u0439\u0448\u0432\u0438\u0434\u0448\u0435 \u0437 \u0442\u0440\u044c\u043e\u0445 \u043f\u0435\u0440\u0435\u043b\u0456\u0447\u0435\u043d\u0438\u0445 \u0442\u0443\u0442 \u043c\u0435\u0442\u043e\u0434\u0456\u0432.<\/span><\/p>\n
 \u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n
 \u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0435\u0440\u0435\u0434\u043d\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043d\u0430 \u0433\u0440\u0443\u043f\u0443 \u0432 R<\/a>
 \u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u043a\u0432\u0430\u043d\u0442\u0438\u043b\u0456 \u0437\u0430 \u0433\u0440\u0443\u043f\u043e\u044e \u0432 R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u043c \u043c\u043e\u0436\u0435 \u0437\u043d\u0430\u0434\u043e\u0431\u0438\u0442\u0438\u0441\u044f \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0443\u043c\u0443 \u0434\u043b\u044f \u043a\u043e\u0436\u043d\u043e\u0457 \u0433\u0440\u0443\u043f\u0438 \u0432 R. \u0414\u043b\u044f \u0446\u044c\u043e\u0433\u043e \u043c\u043e\u0436\u043d\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0440\u0438 \u043c\u0435\u0442\u043e\u0434\u0438: \u0421\u043f\u043e\u0441\u0456\u0431 1. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 \u0431\u0430\u0437\u0443 R. aggregate(df$col_to_aggregate, list(df$col_to_group_by), FUN= sum ) \u0421\u043f\u043e\u0441\u0456\u0431 2. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 \u043f\u0430\u043a\u0435\u0442 dplyr(). library (dplyr) df %>% group_by (col_to_group_by) %>% summarize (Freq = sum (col_to_aggregate)) \u0421\u043f\u043e\u0441\u0456\u0431 3. \u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0439\u0442\u0435 \u043f\u0430\u043a\u0435\u0442 data.table. library (data.table) dt[ ,list(sum= sum (col_to_aggregate)), […]<\/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":"\n\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0443\u043c\u0443 \u0437\u0430 \u0433\u0440\u0443\u043f\u043e\u044e \u0432 R (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)<\/title>\n<meta name=\"description\" content=\"\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u0442\u0440\u0438 \u0440\u0456\u0437\u043d\u0456 \u043c\u0435\u0442\u043e\u0434\u0438, \u044f\u043a\u0438\u043c\u0438 \u043c\u043e\u0436\u043d\u0430 \u0441\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438\u0441\u044f \u0434\u043b\u044f \u0434\u043e\u0434\u0430\u0432\u0430\u043d\u043d\u044f \u0437\u0430 \u0433\u0440\u0443\u043f\u043e\u044e \u0432 R, \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0447\u0438 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438.\" \/>\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\/uk\/\u0441\u0443\u043c\u0430-\u0437\u0430-\u0433\u0440\u0443\u043f\u043e\u044e-\u0432-r\/\" \/>\n<meta property=\"og:locale\" content=\"uk_UA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u042f\u043a \u043e\u0431\u0447\u0438\u0441\u043b\u0438\u0442\u0438 \u0441\u0443\u043c\u0443 \u0437\u0430 \u0433\u0440\u0443\u043f\u043e\u044e \u0432 R (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)\" \/>\n<meta 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