{"id":2217,"date":"2023-07-23T05:12:02","date_gmt":"2023-07-23T05:12:02","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%b5-%d8%aa%d9%84%d8%ae%d9%8a%d8%b5-%d8%a7%d9%84%d8%a7%d9%95%d8%ad%d8%b5%d8%a7%d9%8a%d9%94%d9%8a%d8%a7%d8%aa-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9\/"},"modified":"2023-07-23T05:12:02","modified_gmt":"2023-07-23T05:12:02","slug":"%d8%b5-%d8%aa%d9%84%d8%ae%d9%8a%d8%b5-%d8%a7%d9%84%d8%a7%d9%95%d8%ad%d8%b5%d8%a7%d9%8a%d9%94%d9%8a%d8%a7%d8%aa-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%b5-%d8%aa%d9%84%d8%ae%d9%8a%d8%b5-%d8%a7%d9%84%d8%a7%d9%95%d8%ad%d8%b5%d8%a7%d9%8a%d9%94%d9%8a%d8%a7%d8%aa-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0627\u0644\u0645\u0644\u062e\u0635 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a r"},"content":{"rendered":"

<\/p>\n

\n

\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0623\u0633\u0627\u0633\u064a\u062a\u0627\u0646 \u0644\u062d\u0633\u0627\u0628 \u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0645\u0644\u062e\u0635 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a R:<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0627\u0633\u062a\u062e\u062f\u0645 Tapply() \u0645\u0646 Base R<\/strong><\/span><\/p>\n

 tapply(df$value_col, df$group_col, summary)\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0627\u0633\u062a\u062e\u062f\u0645 group_by() \u0645\u0646 \u062d\u0632\u0645\u0629 dplyr<\/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
 \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0627\u0633\u062a\u062e\u062f\u0645 Tapply() \u0645\u0646 Base R<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 Tapply()<\/strong> \u0641\u064a R \u0644\u062d\u0633\u0627\u0628 \u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0627\u0644\u0645\u0644\u062e\u0635 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629:<\/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
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0627\u0633\u062a\u062e\u062f\u0645 group_by() \u0645\u0646 \u062d\u0632\u0645\u0629 dplyr<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u062a\u064a\u0646 group_by()<\/strong> \u0648 Summary()<\/strong> \u0641\u064a \u062d\u0632\u0645\u0629 dplyr<\/a> \u0644\u062d\u0633\u0627\u0628 \u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0627\u0644\u0645\u0644\u062e\u0635 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629:<\/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
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644\u0627 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u062a\u0631\u062c\u0639\u0627\u0646 \u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u062a\u0645\u0627\u0645\u064b\u0627.<\/span><\/p>\n
 \u062a\u062c\u062f\u0631 \u0627\u0644\u0625\u0634\u0627\u0631\u0629 \u0625\u0644\u0649 \u0623\u0646 \u0623\u0633\u0644\u0648\u0628 dplyr \u0645\u0646 \u0627\u0644\u0645\u0631\u062c\u062d \u0623\u0646 \u064a\u0643\u0648\u0646 \u0623\u0633\u0631\u0639 \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0625\u0637\u0627\u0631\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0643\u0628\u0631 \u062d\u062c\u0645\u064b\u0627\u060c \u0644\u0643\u0646 \u0643\u0644\u062a\u0627 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0633\u062a\u0639\u0645\u0644\u0627\u0646 \u0628\u0634\u0643\u0644 \u0645\u0645\u0627\u062b\u0644 \u0639\u0644\u0649 \u0625\u0637\u0627\u0631\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0635\u063a\u0631.<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u062a\u062c\u0645\u064a\u0639 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a R:<\/span><\/p>\n
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u062c\u062f\u0648\u0644 \u062a\u0643\u0631\u0627\u0631\u064a \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a R<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u0628\u0644\u063a \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a R<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0644\u0643\u0644 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a R<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u0628\u0644\u063a \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0623\u0633\u0627\u0633\u064a\u062a\u0627\u0646 \u0644\u062d\u0633\u0627\u0628 \u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0645\u0644\u062e\u0635 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a R: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0627\u0633\u062a\u062e\u062f\u0645 Tapply() \u0645\u0646 Base R tapply(df$value_col, df$group_col, summary) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0627\u0633\u062a\u062e\u062f\u0645 group_by() \u0645\u0646 \u062d\u0632\u0645\u0629 dplyr 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 = […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0645\u0644\u062e\u0635 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a R - \u0639\u0644\u0645 \u0627\u0644\u0625\u062d\u0635\u0627\u0621<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a \u0645\u0644\u062e\u0635 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u064a \u0644\u063a\u0629 R\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta 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