{"id":4191,"date":"2023-07-12T23:54:51","date_gmt":"2023-07-12T23:54:51","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-dplyr-%e4%b8%ad%e7%9a%84%e6%b1%87%e6%80%bb%e7%bb%9f%e8%ae%a1%e4%bf%a1%e6%81%af\/"},"modified":"2023-07-12T23:54:51","modified_gmt":"2023-07-12T23:54:51","slug":"r-dplyr-%e4%b8%ad%e7%9a%84%e6%b1%87%e6%80%bb%e7%bb%9f%e8%ae%a1%e4%bf%a1%e6%81%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-dplyr-%e4%b8%ad%e7%9a%84%e6%b1%87%e6%80%bb%e7%bb%9f%e8%ae%a1%e4%bf%a1%e6%81%af\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 dplyr \u8ba1\u7b97 r \u4e2d\u7684\u6c47\u603b\u7edf\u8ba1\u6570\u636e"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff0c\u4f7f\u7528<strong>dplyr<\/strong>\u5305\u4e2d\u7684\u51fd\u6570\uff0c\u8ba1\u7b97 R \u6570\u636e\u6846\u4e2d\u6240\u6709\u6570\u503c\u53d8\u91cf\u7684\u6c47\u603b\u7edf\u8ba1\u4fe1\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n<span style=\"color: #008000;\">library<\/span> (tidyr)\n\ndf %&gt;% summarise(across(where(is. <span style=\"color: #3366ff;\">numeric<\/span> ), .fns = \n                     list(min = min,\n                          median = median,\n                          mean = mean,\n                          stdev = sd,\n                          q25 = ~quantile(., <span style=\"color: #008000;\">0.25<\/span> ),\n                          q75 = ~quantile(., <span style=\"color: #008000;\">0.75<\/span> ),\n                          max = max))) %&gt;%\n  pivot_longer(everything(), names_sep=' <span style=\"color: #ff0000;\">_<\/span> ', names_to=c(' <span style=\"color: #ff0000;\">variable<\/span> ', ' <span style=\"color: #ff0000;\">.value<\/span> '))\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>summarise()<\/strong>\u51fd\u6570\u6765\u81ea<strong>dplyr<\/strong>\u5305\uff0c\u7528\u4e8e\u8ba1\u7b97\u53d8\u91cf\u7684\u6c47\u603b\u7edf\u8ba1\u6570\u636e\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>ivot_longer()<\/strong>\u51fd\u6570\u6765\u81ea<strong>Tidyr<\/strong>\u5305\uff0c\u7528\u4e8e\u683c\u5f0f\u5316\u8f93\u51fa\u4ee5\u4f7f\u5176\u66f4\u6613\u4e8e\u9605\u8bfb\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b64\u7279\u5b9a\u8bed\u6cd5\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u6bcf\u4e2a\u6570\u503c\u53d8\u91cf\u7684\u4ee5\u4e0b\u6c47\u603b\u7edf\u8ba1\u6570\u636e\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6700\u5c0f\u503c<\/span><\/li>\n<li><span style=\"color: #000000;\">\u4e2d\u503c<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5e73\u5747\u503c<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6807\u51c6\u5dee<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7b2c 25 \u4e2a\u767e\u5206\u4f4d\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7b2c 75 \u4e2a\u767e\u5206\u4f4d\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6700\u5927\u503c<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4f8b\u5b50\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u9645\u4e2d\u4f7f\u7528\u8fd9\u4e2a\u529f\u80fd\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u4f7f\u7528 dplyr \u8ba1\u7b97 R \u4e2d\u7684\u6c47\u603b\u7edf\u8ba1\u6570\u636e<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u5728 R \u4e2d\u6709\u4ee5\u4e0b\u6570\u636e\u6846\uff0c\u5176\u4e2d\u5305\u542b\u6709\u5173\u5404\u79cd\u7bee\u7403\u8fd0\u52a8\u5458\u7684\u4fe1\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),\n                 points=c(12, 15, 19, 14, 24, 25, 39, 34),\n                 assists=c(6, 8, 8, 9, 12, 6, 8, 10),\n                 rebounds=c(9, 9, 8, 10, 8, 4, 3, 3))\n\n<span style=\"color: #008080;\">#view data frame\n<\/span>df\n\n  team points assists rebounds\n1 to 12 6 9\n2 A 15 8 9\n3 A 19 8 8\n4 A 14 9 10\n5 B 24 12 8\n6 B 25 6 4\n7 B 39 8 3\n8 B 34 10 3<\/strong>\n<\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u6bcf\u4e2a\u6570\u503c\u53d8\u91cf\u7684\u6c47\u603b\u7edf\u8ba1\u4fe1\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n<span style=\"color: #008000;\">library<\/span> (tidyr)\n\n<span style=\"color: #008080;\">#calculate summary statistics for each numeric variable in data frame\n<\/span>df %&gt;% summarise(across(where(is. <span style=\"color: #3366ff;\">numeric<\/span> ), .fns = \n                     list(min = min,\n                          median = median,\n                          mean = mean,\n                          stdev = sd,\n                          q25 = ~quantile(., <span style=\"color: #008000;\">0.25<\/span> ),\n                          q75 = ~quantile(., <span style=\"color: #008000;\">0.75<\/span> ),\n                          max = max))) %&gt;%\n  pivot_longer(everything(), names_sep=' <span style=\"color: #ff0000;\">_<\/span> ', names_to=c(' <span style=\"color: #ff0000;\">variable<\/span> ', ' <span style=\"color: #ff0000;\">.value<\/span> '))\n\n# A tibble: 3 x 8\n  variable min median mean stdev q25 q75 max\n             \n1 points 12 21.5 22.8 9.74 14.8 27.2 39\n2 assists 6 8 8.38 2.00 7.5 9.25 12\n3 rebounds 3 8 6.75 2.92 3.75 9 10\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>&nbsp;<\/strong>\u4ece\u7ed3\u679c\u6211\u4eec\u53ef\u4ee5\u770b\u51fa\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u70b9\u6570\u5217\u4e2d\u7684\u6700\u5c0f\u503c\u662f<strong>12<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u70b9\u6570\u5217\u4e2d\u7684\u4e2d\u503c\u4e3a<strong>21.5<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u5206\u6570\u680f\u4e2d\u7684\u5e73\u5747\u503c\u662f<strong>22.8<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86 dplyr <strong>across()<\/strong>\u51fd\u6570\u3002\u60a8\u53ef\u4ee5<a href=\"https:\/\/dplyr.tidyverse.org\/reference\/across.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230\u6b64\u529f\u80fd\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4f7f\u7528 dplyr \u6267\u884c\u5176\u4ed6\u5e38\u89c1\u529f\u80fd\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/dplyr-\u603b\u7ed3\u4fdd\u7559\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 dplyr \u6c47\u603b\u6570\u636e\u4f46\u4fdd\u7559\u6240\u6709\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/dplyr-\u6c47\u603b\u591a\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 dplyr \u6c47\u603b\u591a\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6807\u51c6\u5dee-dplyr\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 dplyr \u8ba1\u7b97\u6807\u51c6\u5dee<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff0c\u4f7f\u7528dplyr\u5305\u4e2d\u7684\u51fd\u6570\uff0c\u8ba1\u7b97 R \u6570\u636e\u6846\u4e2d\u6240\u6709\u6570\u503c\u53d8\u91cf\u7684\u6c47\u603b\u7edf\u8ba1\u4fe1\u606f\uff1a library  [&hellip;]<\/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-4191","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u4f7f\u7528 dplyr \u5728 R \u4e2d\u8ba1\u7b97\u6c47\u603b\u7edf\u8ba1\u6570\u636e - Statorials<\/title>\n<meta name=\"description\" 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