{"id":2217,"date":"2023-07-23T05:12:02","date_gmt":"2023-07-23T05:12:02","guid":{"rendered":"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/"},"modified":"2023-07-23T05:12:02","modified_gmt":"2023-07-23T05:12:02","slug":"r-podsumowac-statystyki-wedlug-grup","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/","title":{"rendered":"Jak obliczy\u0107 statystyki podsumowuj\u0105ce wed\u0142ug grup w r"},"content":{"rendered":"

<\/p>\n

\n

Istniej\u0105 dwa podstawowe sposoby obliczania statystyk podsumowuj\u0105cych grup\u0119 w R:<\/span><\/p>\n

Metoda 1: U\u017cyj funkcji tapply() z bazy R<\/strong><\/span><\/p>\n

 tapply(df$value_col, df$group_col, summary)\n<\/strong><\/pre>\n
 Metoda 2: U\u017cyj group_by() z pakietu 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
 Poni\u017csze przyk\u0142ady pokazuj\u0105, jak zastosowa\u0107 ka\u017cd\u0105 metod\u0119 w praktyce.<\/span><\/p>\n
 Metoda 1: U\u017cyj funkcji tapply() z bazy R<\/strong><\/span><\/h3>\n
 Poni\u017cszy kod pokazuje, jak u\u017cywa\u0107 funkcji tapply()<\/strong> w R do obliczania statystyk podsumowuj\u0105cych wed\u0142ug grup:<\/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
 Metoda 2: U\u017cyj group_by() z pakietu dplyr<\/strong><\/span><\/h3>\n
 Poni\u017cszy kod pokazuje, jak u\u017cywa\u0107 funkcji group_by()<\/strong> i podsumowanie()<\/strong> w pakiecie dplyr<\/a> do obliczania statystyk podsumowuj\u0105cych wed\u0142ug grup:<\/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
 Nale\u017cy pami\u0119ta\u0107, \u017ce obie metody zwracaj\u0105 dok\u0142adnie takie same wyniki.<\/span><\/p>\n
 Warto zauwa\u017cy\u0107, \u017ce podej\u015bcie dplyr b\u0119dzie prawdopodobnie szybsze w przypadku wi\u0119kszych ramek danych, ale obie metody b\u0119d\u0105 dzia\u0142a\u0107 podobnie w przypadku mniejszych ramek danych.<\/span><\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
 Poni\u017csze samouczki wyja\u015bniaj\u0105, jak wykonywa\u0107 inne typowe funkcje grupowania w R:<\/span><\/p>\n
 Jak utworzy\u0107 tabel\u0119 cz\u0119sto\u015bci wed\u0142ug grup w R<\/a>
 Jak obliczy\u0107 sum\u0119 wed\u0142ug grupy w R<\/a>
 Jak obliczy\u0107 \u015bredni\u0105 na grup\u0119 w R<\/a>
 Jak obliczy\u0107 sum\u0119 wed\u0142ug grupy w R<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Istniej\u0105 dwa podstawowe sposoby obliczania statystyk podsumowuj\u0105cych grup\u0119 w R: Metoda 1: U\u017cyj funkcji tapply() z bazy R tapply(df$value_col, df$group_col, summary) Metoda 2: U\u017cyj group_by() z pakietu 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 ), […]<\/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":[],"class_list":["post-2217","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak obliczy\u0107 statystyki podsumowuj\u0105ce wed\u0142ug grup w R - Statology<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak obliczy\u0107 statystyki podsumowuj\u0105ce grup\u0119 w j\u0119zyku R, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\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\/pl\/r-podsumowac-statystyki-wedlug-grup\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak obliczy\u0107 statystyki podsumowuj\u0105ce wed\u0142ug grup w R - Statology\" \/>\n<meta property=\"og:description\" content=\"W tym samouczku wyja\u015bniono, jak obliczy\u0107 statystyki podsumowuj\u0105ce grup\u0119 w j\u0119zyku R, podaj\u0105c kilka przyk\u0142ad\u00f3w.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/\" \/>\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=\"Napisane przez\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Szacowany czas czytania\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minuty\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/\",\"url\":\"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/\",\"name\":\"Jak obliczy\u0107 statystyki podsumowuj\u0105ce wed\u0142ug grup w R - Statology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-23T05:12:02+00:00\",\"dateModified\":\"2023-07-23T05:12:02+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"W tym samouczku wyja\u015bniono, jak obliczy\u0107 statystyki podsumowuj\u0105ce grup\u0119 w j\u0119zyku R, podaj\u0105c kilka przyk\u0142ad\u00f3w.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/r-podsumowac-statystyki-wedlug-grup\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak obliczy\u0107 statystyki podsumowuj\u0105ce wed\u0142ug grup w r\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/pl\/#website\",\"url\":\"https:\/\/statorials.org\/pl\/\",\"name\":\"Statorials\",\"description\":\"Tw\u00f3j przewodnik po kompetencjach statystycznych!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/pl\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"pl-PL\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\",\"name\":\"Benjamin Anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pl-PL\",\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/pl\/wp-content\/uploads\/2023\/11\/Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin Anderson\"},\"description\":\"Cze\u015b\u0107, jestem Benjamin i jestem emerytowanym profesorem statystyki, kt\u00f3ry zosta\u0142 oddanym nauczycielem Statorials. 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