{"id":945,"date":"2023-07-28T05:49:15","date_gmt":"2023-07-28T05:49:15","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e8%bf%87%e6%bb%a4%e8%a1%8c-r\/"},"modified":"2023-07-28T05:49:15","modified_gmt":"2023-07-28T05:49:15","slug":"%e8%bf%87%e6%bb%a4%e8%a1%8c-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e8%bf%87%e6%bb%a4%e8%a1%8c-r\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u8fc7\u6ee4\u884c"},"content":{"rendered":"

<\/p>\n

\n

\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5bf9 R \u4e2d\u57fa\u4e8e\u67d0\u4e9b\u6761\u4ef6\u7684\u6570\u636e\u6846\u5b50\u96c6\u611f\u5174\u8da3\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528dplyr<\/a>\u5305\u4e2d\u7684filter()<\/a>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u505a\u5230\u8fd9\u4e00\u70b9\u3002<\/span><\/p>\n

 library(dplyr)<\/strong><\/pre>\n
\u672c\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4f7f\u7528\u540d\u4e3astarwars<\/strong>\u7684\u5185\u7f6e dplyr \u6570\u636e\u96c6\u5b9e\u9645\u4f7f\u7528\u6b64\u529f\u80fd\u7684\u51e0\u4e2a\u793a\u4f8b\uff1a<\/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
\u793a\u4f8b 1\uff1a\u8fc7\u6ee4\u7b49\u4e8e\u67d0\u4e2a\u503c\u7684\u884c<\/span><\/strong><\/h3>\n
\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u8fc7\u6ee4\u6570\u636e\u96c6\u4ee5\u67e5\u627e\u53d8\u91cf\u201cspecies\u201d\u7b49\u4e8e Droid \u7684\u884c\u3002<\/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
\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6570\u636e\u96c6\u6709 5 \u884c\u6ee1\u8db3\u6b64\u6761\u4ef6\uff0c\u5982#A tibble: 5 x 13<\/em>\u6240\u793a\u3002<\/span><\/p>\n
\u793a\u4f8b 2\uff1a\u4f7f\u7528\u201cAnd\u201d\u8fc7\u6ee4\u884c<\/span><\/strong><\/h3>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u8fc7\u6ee4\u7269\u79cd\u4e3a Droid\u4e14<\/strong>\u773c\u775b\u989c\u8272\u4e3a\u7ea2\u8272\u7684\u884c\uff1a<\/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
\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6570\u636e\u96c6\u4e2d\u6709 3 \u884c\u6ee1\u8db3\u8fd9\u4e2a\u6761\u4ef6\u3002<\/span><\/p>\n
\u793a\u4f8b 3\uff1a\u4f7f\u7528\u201c\u6216\u201d\u8fc7\u6ee4\u884c<\/span><\/strong><\/h3>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u8fc7\u6ee4\u7269\u79cd\u4e3a Droid\u6216<\/strong>\u773c\u775b\u989c\u8272\u4e3a\u7ea2\u8272\u7684\u884c\uff1a<\/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
\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6570\u636e\u96c6\u4e2d\u6709 7 \u884c\u6ee1\u8db3\u8fd9\u4e2a\u6761\u4ef6\u3002<\/span><\/p>\n
\u793a\u4f8b 4\uff1a\u8fc7\u6ee4\u5217\u8868\u4e2d\u5305\u542b\u503c\u7684\u884c<\/span><\/strong><\/h3>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u8fc7\u6ee4\u989c\u8272\u5217\u8868\u4e2d\u51fa\u73b0\u773c\u775b\u989c\u8272\u7684\u884c\uff1a<\/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
\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6570\u636e\u96c6\u4e2d\u6709 35 \u884c\u7684\u773c\u775b\u989c\u8272\u4e3a\u84dd\u8272\u3001\u9ec4\u8272\u6216\u7ea2\u8272\u3002<\/span><\/p>\n
\u76f8\u5173\uff1a<\/span><\/strong> \u5982\u4f55\u5728 R \u4e2d\u4f7f\u7528 %in% \u8fd0\u7b97\u7b26\uff08\u9644\u793a\u4f8b\uff09<\/a><\/p>\n
\u793a\u4f8b 5\uff1a\u4f7f\u7528\u5c0f\u4e8e\u6216\u5927\u4e8e\u8fc7\u6ee4\u884c<\/span><\/strong><\/h3>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u5bf9\u6570\u503c\u53d8\u91cf\u4f7f\u7528\u5c0f\u4e8e\u6216\u5927\u4e8e\u8fd0\u7b97\u6765\u8fc7\u6ee4\u884c\uff1a<\/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
\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5bf9 R \u4e2d\u57fa\u4e8e\u67d0\u4e9b\u6761\u4ef6\u7684\u6570\u636e\u6846\u5b50\u96c6\u611f\u5174\u8da3\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528dplyr\u5305\u4e2d\u7684filter()\u51fd\u6570\u53ef\u4ee5\u8f7b […]<\/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":[],"class_list":["post-945","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 R \u4e2d\u8fc7\u6ee4\u884c \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u5173\u4e8e\u5982\u4f55\u4f7f\u7528 dplyr \u5305\u4e2d\u7684 filter() \u51fd\u6570\u8fc7\u6ee4 R \u4e2d\u7684\u6570\u636e\u7684\u7b80\u5355\u8bf4\u660e\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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