{"id":942,"date":"2023-07-28T05:49:15","date_gmt":"2023-07-28T05:49:15","guid":{"rendered":"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/"},"modified":"2023-07-28T05:49:15","modified_gmt":"2023-07-28T05:49:15","slug":"filtruj-wiersze-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/","title":{"rendered":"Jak filtrowa\u0107 wiersze w r"},"content":{"rendered":"

<\/p>\n

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Cz\u0119sto mo\u017cesz by\u0107 zainteresowany podzbiorem ramki danych opartym na pewnych warunkach w R. Na szcz\u0119\u015bcie mo\u017cna to \u0142atwo zrobi\u0107 za pomoc\u0105 funkcji filter()<\/a> z pakietu dplyr<\/a> .<\/span><\/p>\n

 library(dplyr)<\/strong><\/pre>\n
 W tym samouczku wyja\u015bniono kilka przyk\u0142ad\u00f3w praktycznego wykorzystania tej funkcji przy u\u017cyciu wbudowanego zbioru danych dplyr zwanego starwars<\/strong> :<\/span><\/p>\n
 #view first six rows of starwars dataset<\/span>\nhead(starwars)\n\n# A tibble: 6 x 13\n  name height mass hair_color skin_color eye_color birth_year gender homeworld\n                                   \n1 Luke~ 172 77 blond fair blue 19 male Tatooine \n2 C-3PO 167 75 <NA> gold yellow 112 <NA> Tatooine \n3 R2-D2 96 32 <NA> white, bl~ red 33 <NA> Naboo    \n4 Dart~ 202 136 none white yellow 41.9 male Tatooine \n5 Leia~ 150 49 brown light brown 19 female Alderaan \n6 Owen~ 178 120 brown, gr~ light blue 52 male Tatooine \n# ... with 4 more variables: species , films , vehicles ,\n# starships \n<\/strong><\/pre>\n
 Przyk\u0142ad 1: Filtruj wiersze o okre\u015blonej warto\u015bci<\/span><\/strong><\/h3>\n
 Poni\u017cszy kod pokazuje, jak filtrowa\u0107 zbi\u00f3r danych pod k\u0105tem wierszy, w kt\u00f3rych zmienna \u201egatunek\u201d jest r\u00f3wna Droid.<\/span><\/p>\n
 starwars %>% filter(species == ' Droid<\/span> ')\n\n# A tibble: 5 x 13\n  name height mass hair_color skin_color eye_color birth_year gender homeworld\n                                   \n1 C-3PO 167 75 gold yellow 112 Tatooine \n2 R2-D2 96 32 white, bl~ red 33 Naboo    \n3 R5-D4 97 32 white, red red NA Tatooine \n4 IG-88 200 140 none metal red 15 none        \n5 BB8 NA NA none none black NA none        \n# ... with 4 more variables: species , films , vehicles ,\n# starships \n<\/strong><\/pre>\n
 Widzimy, \u017ce 5 wierszy zbioru danych spe\u0142nia ten warunek, jak wskazuje #A tibble: 5 x 13<\/em> .<\/span><\/p>\n
 Przyk\u0142ad 2: Filtruj wiersze za pomoc\u0105 \u201eI\u201d<\/span><\/strong><\/h3>\n
 Mo\u017cemy r\u00f3wnie\u017c filtrowa\u0107 wiersze, w kt\u00f3rych gatunkiem jest Droid , a<\/strong> kolor oczu jest czerwony:<\/span><\/p>\n
 starwars %>% filter(species == ' Droid<\/span> ' &<\/span> eye_color == ' red<\/span> ')\n\n# A tibble: 3 x 13\n  name height mass hair_color skin_color eye_color birth_year gender homeworld\n                                   \n1 R2-D2 96 32 <NA> white, bl~ red 33 <NA> Naboo    \n2 R5-D4 97 32 <NA> white, red red NA <NA> Tatooine \n3 IG-88 200 140 none metal red 15 none <NA>      \n# ... with 4 more variables: species , films , vehicles ,\n# starships \n<\/strong><\/pre>\n
 Widzimy, \u017ce 3 wiersze w zbiorze danych spe\u0142niaj\u0105 ten warunek.<\/span><\/p>\n
 Przyk\u0142ad 3: Filtruj wiersze za pomoc\u0105 \u201eOr\u201d<\/span><\/strong><\/h3>\n
 Mo\u017cemy tak\u017ce filtrowa\u0107 wiersze, w kt\u00f3rych gatunkiem jest Droid lub<\/strong> kolor oczu jest czerwony:<\/span><\/p>\n
 starwars %>% filter(species == ' Droid<\/span> ' |<\/span> eye_color == ' red<\/span> ')\n\n# A tibble: 7 x 13\n  name height mass hair_color skin_color eye_color birth_year gender homeworld\n                                   \n1 C-3PO 167 75 <NA> gold yellow 112 <NA> Tatooine \n2 R2-D2 96 32 <NA> white, bl~ red 33 <NA> Naboo    \n3 R5-D4 97 32 <NA> white, red red NA <NA> Tatooine \n4 IG-88 200 140 none metal red 15 none <NA>     \n5 Bossk 190 113 none green red 53 male Trandosha\n6 Nute~ 191 90 none mottled g~ red NA male Cato Nei~\n7 BB8 NA NA none none black NA none <NA>     \n# ... with 4 more variables: species , films , vehicles ,\n# starships  \n<\/strong><\/pre>\n
 Widzimy, \u017ce 7 wierszy w zbiorze danych spe\u0142nia ten warunek.<\/span><\/p>\n
 Przyk\u0142ad 4: Filtruj wiersze z warto\u015bciami na li\u015bcie<\/span><\/strong><\/h3>\n
 Mo\u017cemy tak\u017ce filtrowa\u0107 wiersze, w kt\u00f3rych kolor oczu pojawia si\u0119 na li\u015bcie kolor\u00f3w:<\/span><\/p>\n
 starwars %>% filter(eye_color %in%<\/span> c(' blue<\/span> ', ' yellow<\/span> ', ' red<\/span> '))\n\n# A tibble: 35 x 13\n   name height mass hair_color skin_color eye_color birth_year gender\n                               \n 1 Luke~ 172 77 blond fair blue 19 male  \n 2 C-3PO 167 75 <NA> gold yellow 112 <NA> \n 3 R2-D2 96 32 <NA> white, bl~ red 33 <NA>  \n 4 Dart~ 202 136 none white yellow 41.9 male  \n 5 Owen~ 178 120 brown, gr~ light blue 52 male  \n 6 Beru~ 165 75 brown light blue 47 female\n 7 R5-D4 97 32 <NA> white, red red NA <NA> \n 8 Anak~ 188 84 blond fair blue 41.9 male  \n 9 Wilh~ 180 NA auburn, g~ fair blue 64 male  \n10 Chew~ 228 112 brown unknown blue 200 male  \n# ... with 25 more rows, and 5 more variables: homeworld, species,\n# films, vehicles, starships  \n<\/strong><\/pre>\n
 Widzimy, \u017ce 35 wierszy w zbiorze danych mia\u0142o kolor oczu niebieski, \u017c\u00f3\u0142ty lub czerwony.<\/span><\/p>\n
 Powi\u0105zane:<\/span><\/strong> Jak u\u017cywa\u0107 operatora %in% w R (z przyk\u0142adami)<\/a><\/p>\n
 Przyk\u0142ad 5: Filtruj wiersze, u\u017cywaj\u0105c warto\u015bci mniejszej ni\u017c lub wi\u0119kszej ni\u017c<\/span><\/strong><\/h3>\n
 Mo\u017cemy tak\u017ce filtrowa\u0107 wiersze za pomoc\u0105 operacji \u201emniej ni\u017c\u201d lub \u201ewi\u0119ksze ni\u017c\u201d na zmiennych numerycznych:<\/span><\/p>\n
 #find rows where height is greater than 250<\/span>\nstarwars %>% filter(height ><\/span> 250)\n\n# A tibble: 1 x 13\n  name height mass hair_color skin_color eye_color birth_year gender homeworld\n                                   \n1 Yara~ 264 NA none white yellow NA male Quermia  \n# ... with 4 more variables: species , films , vehicles ,\n# starships   \n\n#find rows where height is between 200 and 220<\/span>\nstarwars %>% filter(height ><\/span> 200 &<\/span> height <<\/span> 220)\n\n# A tibble: 5 x 13\n  name height mass hair_color skin_color eye_color birth_year gender homeworld\n                                   \n1 Dart~ 202 136 none white yellow 41.9 male Tatooine \n2 Rugo~ 206 NA none green orange NA male Naboo    \n3 Taun~ 213 NA none gray black NA female Kamino   \n4 Grie~ 216 159 none brown, wh~ green, y~ NA male Kalee    \n5 Tion~ 206 80 none gray black NA male Utapau   \n# ... with 4 more variables: species , films , vehicles ,\n# starships \n\n#find rows where height is above the average height\nstarwars %>% filter(height ><\/span> mean<\/span> (height, na.rm = TRUE<\/span> ))\n\n# A tibble: 51 x 13\n   name height mass hair_color skin_color eye_color birth_year gender\n                               \n 1 Dart~ 202 136 none white yellow 41.9 male  \n 2 Owen~ 178 120 brown, gr~ light blue 52 male  \n 3 Bigg~ 183 84 black light brown 24 male  \n 4 Obi-~ 182 77 auburn, w~ fair blue-gray 57 male  \n 5 Anak~ 188 84 blond fair blue 41.9 male  \n 6 Wilh~ 180 NA auburn, g~ fair blue 64 male  \n 7 Chew~ 228 112 brown unknown blue 200 male  \n 8 Han ~ 180 80 brown fair brown 29 male  \n 9 Jabb~ 175 1358 <NA> green-tan~ orange 600 herma~\n10 Jek ~ 180 110 brown fair blue NA male  \n# ... with 41 more rows, and 5 more variables: homeworld, species,\n# films, vehicles, starships<\/span><\/span>\n<\/strong><\/pre>\n
Cz\u0119sto mo\u017cesz by\u0107 zainteresowany podzbiorem ramki danych opartym na pewnych warunkach w R. Na szcz\u0119\u015bcie mo\u017cna to \u0142atwo zrobi\u0107 za pomoc\u0105 funkcji filter() z pakietu dplyr . library(dplyr) W tym samouczku wyja\u015bniono kilka przyk\u0142ad\u00f3w praktycznego wykorzystania tej funkcji przy u\u017cyciu wbudowanego zbioru danych dplyr zwanego starwars : #view first six rows of starwars dataset head(starwars) […]<\/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-942","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak filtrowa\u0107 wiersze w R \u2013 Statology<\/title>\n<meta name=\"description\" content=\"Proste wyja\u015bnienie, jak filtrowa\u0107 dane w R za pomoc\u0105 funkcji filter() z pakietu dplyr.\" \/>\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\/filtruj-wiersze-r\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak filtrowa\u0107 wiersze w R \u2013 Statology\" \/>\n<meta property=\"og:description\" content=\"Proste wyja\u015bnienie, jak filtrowa\u0107 dane w R za pomoc\u0105 funkcji filter() z pakietu dplyr.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T05:49:15+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=\"5 minut\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/\",\"url\":\"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/\",\"name\":\"Jak filtrowa\u0107 wiersze w R \u2013 Statology\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/pl\/#website\"},\"datePublished\":\"2023-07-28T05:49:15+00:00\",\"dateModified\":\"2023-07-28T05:49:15+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/pl\/#\/schema\/person\/6484727a4612df3e69f016c3129c6965\"},\"description\":\"Proste wyja\u015bnienie, jak filtrowa\u0107 dane w R za pomoc\u0105 funkcji filter() z pakietu dplyr.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/#breadcrumb\"},\"inLanguage\":\"pl-PL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/pl\/filtruj-wiersze-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Dom\",\"item\":\"https:\/\/statorials.org\/pl\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Jak filtrowa\u0107 wiersze 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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 Pe\u0142n\u0105 dokumentacj\u0119 funkcji filter()<\/strong> znajdziesz tutaj<\/a> .<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"