{"id":1090,"date":"2023-07-27T17:11:03","date_gmt":"2023-07-27T17:11:03","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e6%af%8f%e7%bb%84%e5%b9%b3%e5%9d%87%e5%80%bc\/"},"modified":"2023-07-27T17:11:03","modified_gmt":"2023-07-27T17:11:03","slug":"r-%e6%af%8f%e7%bb%84%e5%b9%b3%e5%9d%87%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e6%af%8f%e7%bb%84%e5%b9%b3%e5%9d%87%e5%80%bc\/","title":{"rendered":"\u5982\u4f55\u8ba1\u7b97 r \u4e2d\u7684\u7ec4\u5e73\u5747\u503c\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\u60a8\u53ef\u80fd\u60f3\u8981\u8ba1\u7b97 R \u4e2d\u7684\u7ec4\u5e73\u5747\u503c\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u4e09\u79cd\u65b9\u6cd5\u6765\u6267\u884c\u6b64\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e00\uff1a\u4f7f\u7528R\u57fa\u3002<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\">aggregate(df$col_to_aggregate, list(df$col_to_group_by), FUN= <span style=\"color: #3366ff;\">mean<\/span> )<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2\uff1a\u4f7f\u7528 dplyr() \u5305\u3002<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #993300;\">library<\/span> (dplyr)\n\ndf %&gt;%\n  <span style=\"color: #008000;\">group_by<\/span> (col_to_group_by) %&gt;%\n  <span style=\"color: #008000;\">summarise_at<\/span> (vars(col_to_aggregate), list(name = <span style=\"color: #3366ff;\">mean<\/span> ))\n<\/b><\/span><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd53\uff1a\u4f7f\u7528data.table\u5305\u3002<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><b><span style=\"color: #993300;\">library<\/span> (data.table)\n\ndt[ ,list(mean= <span style=\"color: #3366ff;\">mean<\/span> (col_to_aggregate)), by=col_to_group_by]\n<\/b><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6bcf\u79cd\u65b9\u6cd5\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1\uff1a\u4f7f\u7528 R \u57fa\u6570\u8ba1\u7b97\u6bcf\u7ec4\u7684\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528R\u6570\u636e\u5e93<strong>Aggregate()<\/strong>\u51fd\u6570\u8ba1\u7b97\u4ee5\u4e0b\u6570\u636e\u6846\u4e2d\u6bcf\u652f\u7403\u961f\u7684\u5e73\u5747\u5f97\u5206\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame<\/span><span style=\"color: #000000;\">\ndf &lt;- data.frame(team=c('a', 'a', 'b', 'b', 'b', 'c', 'c'),\n                 pts=c(5, 8, 14, 18, 5, 7, 7),\n                 rebs=c(8, 8, 9, 3, 8, 7, 4))\n\n<\/span><span style=\"color: #008080;\">#view data frame<\/span><span style=\"color: #000000;\">\ndf\n\n  team pts rebs\n1 to 5 8\n2 to 8 8\n3 b 14 9\n4 b 18 3\n5 b 5 8\n6 c 7 7\n7 c 7 4\n\n<\/span><span style=\"color: #008080;\">#find mean points scored by team\n<\/span><\/span><span style=\"color: #000000;\">aggregate(df$pts, list(df$team), FUN= <span style=\"color: #3366ff;\">mean<\/span> )\n\n  Group.1 x\n1 to 6.50000\n2 b 12.33333\n3 to 7.00000\n<\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2\uff1a\u4f7f\u7528 dplyr \u8ba1\u7b97\u6bcf\u7ec4\u7684\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528<strong>dplyr<\/strong>\u5305\u4e2d\u7684<strong>group_by<\/strong> <strong>()<\/strong>\u548c<strong>summarise_at()<\/strong>\u51fd\u6570\u6765\u8ba1\u7b97\u4ee5\u4e0b\u6570\u636e\u6846\u4e2d\u6bcf\u4e2a\u56e2\u961f\u7684\u5e73\u5747\u5f97\u5206\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\"><b><span style=\"color: #993300;\">library<\/span> <span style=\"color: #000000;\">(dplyr)<\/span><\/b>\n\n#create data frame<\/span>\ndf &lt;- data.frame(team=c('a', 'a', 'b', 'b', 'b', 'c', 'c'),\n                 pts=c(5, 8, 14, 18, 5, 7, 7),\n                 rebs=c(8, 8, 9, 3, 8, 7, 4))\n\n<span style=\"color: #008080;\">#find mean points scored by team<\/span>\n<b>df %&gt;%\n<span style=\"color: #008000;\">group_by<\/span> (team) %&gt;%\n<span style=\"color: #008000;\">summarise_at<\/span> (vars(pts), list(name = <span style=\"color: #3366ff;\">mean<\/span> ))\n\n# A tibble: 3 x 2\n  team name\n  &lt;fct&gt; &lt;dbl&gt;\n1 to 6.5\n2 b 12.3\n3 v 7<\/b>\n<\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u65b9\u6cd53\uff1a\u4f7f\u7528data.table\u6309\u7ec4\u8ba1\u7b97\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u8ba1\u7b97\u4ee5\u4e0b\u6570\u636e\u6846\u4e2d\u6bcf\u652f\u7403\u961f\u7684\u5e73\u5747\u5f97\u5206\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\"><b><span style=\"color: #993300;\">library<\/span> <span style=\"color: #000000;\">(data.table)<\/span><\/b>\n\n#create data frame<\/span>\ndf &lt;- data.frame(team=c('a', 'a', 'b', 'b', 'b', 'c', 'c'),\n                 pts=c(5, 8, 14, 18, 5, 7, 7),\n                 rebs=c(8, 8, 9, 3, 8, 7, 4))\n\n<span style=\"color: #008080;\">#convert data frame to data table<\/span> \nsetDT(df)\n\n<span style=\"color: #008080;\">#find mean points scored by team<\/span>\n<b>df[,list(mean= <span style=\"color: #3366ff;\">mean<\/span> (pts)), by=team]\n\n   team mean\n1: to 6.50000\n2:b12.33333\n3: c 7.00000<\/b><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6240\u6709\u4e09\u79cd\u65b9\u6cd5\u90fd\u8fd4\u56de\u76f8\u540c\u7684\u7ed3\u679c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u76f8\u5173\uff1a<\/strong> <a href=\"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u5e73\u5747\u51fd\u6570\/\" target=\"_blank\" rel=\"noopener\">R \u4e2d\u5747\u503c\u51fd\u6570\u7684\u5b8c\u6574\u6307\u5357<\/a><\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u6309\u7ec4\u6c42\u548c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728R\u4e2d\u6309\u7ec4\u8ba1\u7b97\u603b\u548c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6bcf\u7ec4-r-\u5206\u4f4d\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728R\u4e2d\u6309\u7ec4\u8ba1\u7b97\u5206\u4f4d\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\u60a8\u53ef\u80fd\u60f3\u8981\u8ba1\u7b97 R \u4e2d\u7684\u7ec4\u5e73\u5747\u503c\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u4e09\u79cd\u65b9\u6cd5\u6765\u6267\u884c\u6b64\u64cd\u4f5c\uff1a \u65b9\u6cd5\u4e00\uff1a\u4f7f\u7528R\u57fa\u3002 aggregate [&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-1090","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\u8ba1\u7b97 R \u4e2d\u7684\u7ec4\u5e73\u5747\u503c\uff08\u9644\u793a\u4f8b\uff09-Statorials<\/title>\n<meta name=\"description\" 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