{"id":940,"date":"2023-07-28T05:49:15","date_gmt":"2023-07-28T05:49:15","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%80%d1%8f%d0%b4%d0%ba%d0%b8-%d1%84%d1%96%d0%bb%d1%8c%d1%82%d1%80%d0%b0-r\/"},"modified":"2023-07-28T05:49:15","modified_gmt":"2023-07-28T05:49:15","slug":"%d1%80%d1%8f%d0%b4%d0%ba%d0%b8-%d1%84%d1%96%d0%bb%d1%8c%d1%82%d1%80%d0%b0-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%80%d1%8f%d0%b4%d0%ba%d0%b8-%d1%84%d1%96%d0%bb%d1%8c%d1%82%d1%80%d0%b0-r\/","title":{"rendered":"\u042f\u043a \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u0432 r"},"content":{"rendered":"

<\/p>\n

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\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u0441 \u043c\u043e\u0436\u0435 \u0437\u0430\u0446\u0456\u043a\u0430\u0432\u0438\u0442\u0438 \u043f\u0456\u0434\u043c\u043d\u043e\u0436\u0438\u043d\u0430 \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043f\u0435\u0432\u043d\u0438\u0445 \u0443\u043c\u043e\u0432 \u0443 R. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0446\u0435 \u043b\u0435\u0433\u043a\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 filter()<\/a> \u0456\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 dplyr<\/a> .<\/span><\/p>\n

 library(dplyr)<\/strong><\/pre>\n
 \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u043e\u0433\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0456\u0454\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u043e\u0433\u043e \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 dplyr \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e 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
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u044f\u0434\u043a\u0456\u0432, \u0449\u043e \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u044e\u0442\u044c \u043f\u0435\u0432\u043d\u043e\u043c\u0443 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044e<\/span><\/strong><\/h3>\n
 \u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0431\u0456\u0440 \u0434\u0430\u043d\u0438\u0445 \u0434\u043b\u044f \u0440\u044f\u0434\u043a\u0456\u0432, \u0434\u0435 \u0437\u043c\u0456\u043d\u043d\u0430 “species” \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u0454 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
 \u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e 5 \u0440\u044f\u0434\u043a\u0456\u0432 \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0430\u044e\u0442\u044c \u0446\u0456\u0439 \u0443\u043c\u043e\u0432\u0456, \u044f\u043a \u0432\u043a\u0430\u0437\u0430\u043d\u043e \u0441\u0438\u043c\u0432\u043e\u043b\u043e\u043c #A: 5 x 13<\/em> .<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u044f\u0434\u043a\u0456\u0432 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u00ab\u0456\u00bb<\/span><\/strong><\/h3>\n
 \u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438, \u0434\u0435 \u0432\u0438\u0434 \u2013 \u0434\u0440\u043e\u0457\u0434 , \u0430<\/strong> \u043a\u043e\u043b\u0456\u0440 \u043e\u0447\u0435\u0439 \u2013 \u0447\u0435\u0440\u0432\u043e\u043d\u0438\u0439:<\/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
 \u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e 3 \u0440\u044f\u0434\u043a\u0438 \u0432 \u043d\u0430\u0431\u043e\u0440\u0456 \u0434\u0430\u043d\u0438\u0445 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0430\u044e\u0442\u044c \u0446\u0456\u0439 \u0443\u043c\u043e\u0432\u0456.<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u044f\u0434\u043a\u0456\u0432 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u00ab\u0430\u0431\u043e\u00bb<\/span><\/strong><\/h3>\n
 \u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438, \u0434\u0435 \u0432\u0438\u0434 \u2013 \u0434\u0440\u043e\u0457\u0434 \u0430\u0431\u043e<\/strong> \u043a\u043e\u043b\u0456\u0440 \u043e\u0447\u0435\u0439 \u0447\u0435\u0440\u0432\u043e\u043d\u0438\u0439:<\/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
 \u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e 7 \u0440\u044f\u0434\u043a\u0456\u0432 \u0443 \u043d\u0430\u0431\u043e\u0440\u0456 \u0434\u0430\u043d\u0438\u0445 \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u0430\u044e\u0442\u044c \u0446\u0456\u0439 \u0443\u043c\u043e\u0432\u0456.<\/span><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 4: \u0424\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0440\u044f\u0434\u043a\u0438 \u0437\u0456 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f\u043c\u0438 \u0432 \u0441\u043f\u0438\u0441\u043a\u0443<\/span><\/strong><\/h3>\n
 \u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438, \u0434\u0435 \u043a\u043e\u043b\u0456\u0440 \u043e\u0447\u0435\u0439 \u0437\u2019\u044f\u0432\u043b\u044f\u0454\u0442\u044c\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0443 \u043a\u043e\u043b\u044c\u043e\u0440\u0456\u0432:<\/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
 \u041c\u0438 \u0431\u0430\u0447\u0438\u043c\u043e, \u0449\u043e 35 \u0440\u044f\u0434\u043a\u0456\u0432 \u0443 \u043d\u0430\u0431\u043e\u0440\u0456 \u0434\u0430\u043d\u0438\u0445 \u043c\u0430\u043b\u0438 \u0441\u0438\u043d\u0456\u0439, \u0436\u043e\u0432\u0442\u0438\u0439 \u0430\u0431\u043e \u0447\u0435\u0440\u0432\u043e\u043d\u0438\u0439 \u043a\u043e\u043b\u0456\u0440 \u043e\u0447\u0435\u0439.<\/span><\/p>\n
 \u041f\u043e\u0432\u2019\u044f\u0437\u0430\u043d\u0435:<\/span><\/strong> \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440 %in% \u0443 R (\u0437 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0430\u043c\u0438)<\/a><\/p>\n
 \u041f\u0440\u0438\u043a\u043b\u0430\u0434 5. \u0424\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0440\u044f\u0434\u043a\u0438, \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u044e\u0447\u0438 \u043c\u0435\u043d\u0448\u0435 \u0430\u0431\u043e \u0431\u0456\u043b\u044c\u0448\u0435<\/span><\/strong><\/h3>\n
 \u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0439 \u043c\u0435\u043d\u0448\u0435 \u0430\u0431\u043e \u0431\u0456\u043b\u044c\u0448\u0435 \u043d\u0430\u0434 \u0447\u0438\u0441\u043b\u043e\u0432\u0438\u043c\u0438 \u0437\u043c\u0456\u043d\u043d\u0438\u043c\u0438:<\/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
\u0427\u0430\u0441\u0442\u043e \u0432\u0430\u0441 \u043c\u043e\u0436\u0435 \u0437\u0430\u0446\u0456\u043a\u0430\u0432\u0438\u0442\u0438 \u043f\u0456\u0434\u043c\u043d\u043e\u0436\u0438\u043d\u0430 \u043a\u0430\u0434\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043f\u0435\u0432\u043d\u0438\u0445 \u0443\u043c\u043e\u0432 \u0443 R. \u041d\u0430 \u0449\u0430\u0441\u0442\u044f, \u0446\u0435 \u043b\u0435\u0433\u043a\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0444\u0443\u043d\u043a\u0446\u0456\u0457 filter() \u0456\u0437 \u043f\u0430\u043a\u0435\u0442\u0430 dplyr . library(dplyr) \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454 \u043a\u0456\u043b\u044c\u043a\u0430 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0456\u0432 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u043e\u0433\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0446\u0456\u0454\u0457 \u0444\u0443\u043d\u043a\u0446\u0456\u0457 \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0432\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u043e\u0433\u043e \u043d\u0430\u0431\u043e\u0440\u0443 \u0434\u0430\u043d\u0438\u0445 dplyr \u043f\u0456\u0434 \u043d\u0430\u0437\u0432\u043e\u044e 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":[],"yoast_head":"\n\u042f\u043a \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 \u0432 R \u2013 Statology<\/title>\n<meta name=\"description\" content=\"\u041f\u0440\u043e\u0441\u0442\u0435 \u043f\u043e\u044f\u0441\u043d\u0435\u043d\u043d\u044f \u0442\u043e\u0433\u043e, 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