{"id":3283,"date":"2023-07-18T07:35:38","date_gmt":"2023-07-18T07:35:38","guid":{"rendered":"https:\/\/statorials.org\/cn\/dplyr%e9%80%9a%e8%bf%87\/"},"modified":"2023-07-18T07:35:38","modified_gmt":"2023-07-18T07:35:38","slug":"dplyr%e9%80%9a%e8%bf%87","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/dplyr%e9%80%9a%e8%bf%87\/","title":{"rendered":"\u5982\u4f55\u5728 dplyr \u4e2d\u4f7f\u7528 across() \u51fd\u6570\uff083 \u4e2a\u793a\u4f8b\uff09"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u53ef\u4ee5\u4f7f\u7528 R \u4e2ddplyr<\/a>\u5305\u4e2d\u7684across()<\/a>\u51fd\u6570\u5bf9\u591a\u5217\u5e94\u7528\u8f6c\u6362\u3002<\/span><\/p>\n

\u4f7f\u7528\u6b64\u529f\u80fd\u7684\u65b9\u6cd5\u6709\u65e0\u6570<\/span>\u79cd\uff0c\u4f46\u4ee5\u4e0b\u65b9\u6cd5\u8bf4\u660e\u4e86\u4e00\u4e9b\u5e38\u89c1\u7528\u9014\uff1a<\/span><\/p>\n

\u65b9\u6cd5 1\uff1a\u5c06\u51fd\u6570\u5e94\u7528\u4e8e\u591a\u5217<\/strong><\/span><\/p>\n

 #multiply values in col1 and col2 by 2<\/span>\ndf %>% \n  mutate(across(c(col1, col2), function<\/span> (x) x*2))\n<\/strong><\/pre>\n
\u65b9\u6cd52\uff1a\u8ba1\u7b97\u591a\u5217\u7684\u6c47\u603b\u7edf\u8ba1\u91cf<\/strong><\/span><\/p>\n
 #calculate mean of col1 and col2<\/span>\ndf %>%\n  summarise(across(c(col1, col2), mean, na. rm<\/span> = TRUE<\/span> ))\n<\/strong><\/pre>\n
\u65b9\u6cd5 3\uff1a\u8ba1\u7b97\u591a\u4e2a\u5217\u7684\u591a\u4e2a\u6c47\u603b\u7edf\u8ba1\u91cf<\/strong><\/span><\/p>\n
 #calculate mean and standard deviation for col1 and col2\n<\/span>df %>%\n  summarise(across(c(col1, col2), list(mean=mean, sd=sd), na. rm<\/span> = TRUE<\/span> ))\n<\/strong><\/pre>\n
\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u6bcf\u79cd\u65b9\u6cd5\u4e0e\u4ee5\u4e0b\u6570\u636e\u6846\u7ed3\u5408\u4f7f\u7528\uff1a<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (conf=c('East', 'East', 'East', 'West', 'West', 'West'),\n                 points=c(22, 25, 29, 13, 22, 30),\n                 rebounds=c(12, 10, 6, 6, 8, 11))\n\n#view data frame\n<\/span>df\n\n  conf points rebounds\n1 East 22 12\n2 East 25 10\n3 East 29 6\n4 West 13 6\n5 West 22 8\n6 West 30 11<\/strong><\/pre>\n
\u793a\u4f8b 1\uff1a\u5c06\u51fd\u6570\u5e94\u7528\u4e8e\u591a\u5217<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528across()<\/strong>\u51fd\u6570\u5c06\u70b9\u6570<\/strong>\u548c\u7bee\u677f<\/strong>\u6570\u5217\u4e2d\u7684\u503c\u4e58\u4ee5 2\uff1a<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#multiply values in points and rebounds columns by 2\n<\/span>df %>% \n  mutate(across(c(points, rebounds), function<\/span> (x) x*2))\n\n  conf points rebounds\n1 East 44 24\n2 East 50 20\n3 East 58 12\n4 West 26 12\n5 West 44 16\n6 West 60 22\n<\/strong><\/span><\/pre>\n
\u793a\u4f8b 2\uff1a\u8ba1\u7b97\u591a\u5217\u7684\u6c47\u603b\u7edf\u8ba1\u91cf<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528across()<\/strong>\u51fd\u6570\u8ba1\u7b97\u70b9\u6570<\/strong>\u548c\u7bee\u677f<\/strong>\u6570\u5217\u7684\u5e73\u5747\u503c\uff1a<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#calculate mean value of points an rebounds columns\n<\/span>df %>%\n  summarise(across(c(points, rebounds), mean, na. rm<\/span> = TRUE<\/span> ))\n\n  rebound points\n1 23.5 8.833333<\/strong><\/pre>\n
\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528is.numeric<\/strong>\u51fd\u6570\u81ea\u52a8\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u6240\u6709\u6570\u5b57\u5217\u7684\u6c47\u603b\u7edf\u8ba1\u91cf\uff1a<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#calculate mean value for every numeric column in data frame\n<\/span>df %>%\n  summarise(across(where(is. numeric<\/span> ), mean, na. rm<\/span> = TRUE<\/span> ))\n\n  rebound points\n1 23.5 8.833333\n<\/strong><\/pre>\n
\u793a\u4f8b 3\uff1a\u8ba1\u7b97\u591a\u5217\u7684\u591a\u4e2a\u6c47\u603b\u7edf\u8ba1\u4fe1\u606f<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528across()<\/strong>\u51fd\u6570\u8ba1\u7b97\u70b9\u6570<\/strong>\u548c\u7bee\u677f<\/strong>\u6570\u5217\u7684\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\uff1a<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#calculate mean and standard deviation for points and rebounds columns\n<\/span>df %>%\n  summarise(across(c(points, rebounds), list(mean=mean, sd=sd), na. rm<\/span> = TRUE<\/span> ))\n\n  points_mean points_sd rebounds_mean rebounds_sd\n1 23.5 6.156298 8.833333 2.562551<\/strong><\/pre>\n
\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5\u5728\u6b64\u5904<\/a>\u627e\u5230across()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4f7f\u7528 dplyr \u6267\u884c\u5176\u4ed6\u5e38\u89c1\u529f\u80fd\uff1a<\/span><\/p>\n
\u5982\u4f55\u4f7f\u7528 dplyr \u5220\u9664\u884c<\/a>
\u5982\u4f55\u4f7f\u7528 dplyr \u6392\u5217\u884c<\/a>
\u5982\u4f55\u4f7f\u7528 dplyr \u6309\u591a\u4e2a\u6761\u4ef6\u8fdb\u884c\u8fc7\u6ee4<\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u53ef\u4ee5\u4f7f\u7528 R \u4e2ddplyr\u5305\u4e2d\u7684across()\u51fd\u6570\u5bf9\u591a\u5217\u5e94\u7528\u8f6c\u6362\u3002 \u4f7f\u7528\u6b64\u529f\u80fd\u7684\u65b9\u6cd5\u6709\u65e0\u6570\u79cd\uff0c\u4f46\u4ee5\u4e0b\u65b9\u6cd5\u8bf4 […]<\/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-3283","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 dplyr \u4e2d\u4f7f\u7528 across() \u51fd\u6570\uff083 \u4e2a\u793a\u4f8b\uff09 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 dplyr \u4e2d\u4f7f\u7528 across() \u51fd\u6570\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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