{"id":1223,"date":"2023-07-27T05:56:29","date_gmt":"2023-07-27T05:56:29","guid":{"rendered":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/"},"modified":"2023-07-27T05:56:29","modified_gmt":"2023-07-27T05:56:29","slug":"r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u6267\u884c bagging\uff08\u4e00\u6b65\u4e00\u6b65\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5f53\u6211\u4eec\u4e3a\u7ed9\u5b9a\u6570\u636e\u96c6\u521b\u5efa <a href=\"https:\/\/statorials.org\/cn\/\u5206\u7c7b\u548c\u56de\u5f52\u6811\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u51b3\u7b56\u6811<\/a>\u65f6\uff0c\u6211\u4eec\u4ec5\u4f7f\u7528\u5355\u4e2a\u8bad\u7ec3\u6570\u636e\u96c6\u6765\u6784\u5efa\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7136\u800c\uff0c\u4f7f\u7528\u5355\u4e2a\u51b3\u7b56\u6811\u7684\u7f3a\u70b9\u662f\u5b83\u5f80\u5f80\u4f1a\u906d\u53d7 <a href=\"https:\/\/statorials.org\/cn\/\u504f\u5dee\u65b9\u5dee\u6298\u8877\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u9ad8\u65b9\u5dee\u7684<\/a>\u5f71\u54cd\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5982\u679c\u6211\u4eec\u5c06\u6570\u636e\u96c6\u5206\u6210\u4e24\u534a\u5e76\u5c06\u51b3\u7b56\u6811\u5e94\u7528\u4e8e\u4e24\u534a\uff0c\u7ed3\u679c\u53ef\u80fd\u4f1a\u975e\u5e38\u4e0d\u540c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u7528\u6765\u51cf\u5c11\u5355\u4e2a\u51b3\u7b56\u6811\u65b9\u5dee\u7684\u4e00\u79cd\u65b9\u6cd5\u79f0\u4e3a <a href=\"https:\/\/statorials.org\/cn\/\u88c5\u888b\u673a\u5668\u5b66\u4e60\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u88c5\u888b<\/a>\uff0c\u6709\u65f6\u79f0\u4e3a<em>\u5f15\u5bfc\u805a\u5408<\/em>\u3002<\/span><\/p>\n<p data-slot-rendered-dynamic=\"true\"><span style=\"color: #000000;\">\u88c5\u888b\u7684\u5de5\u4f5c\u539f\u7406\u5982\u4e0b\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong>\u4ece\u539f\u59cb\u6570\u636e\u96c6\u4e2d\u83b7\u53d6<em>b \u4e2a<\/em>\u5f15\u5bfc\u6837\u672c\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong>\u4e3a\u6bcf\u4e2a\u5f15\u5bfc\u6837\u672c\u521b\u5efa\u51b3\u7b56\u6811\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3.<\/strong>\u5bf9\u6bcf\u68f5\u6811\u7684\u9884\u6d4b\u8fdb\u884c\u5e73\u5747\u4ee5\u83b7\u5f97\u6700\u7ec8\u6a21\u578b\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u901a\u8fc7\u6784\u5efa\u6570\u767e\u751a\u81f3\u6570\u5343\u4e2a\u5355\u72ec\u7684\u51b3\u7b56\u6811\u5e76\u53d6\u6240\u6709\u6811\u7684\u5e73\u5747\u9884\u6d4b\uff0c\u6211\u4eec\u901a\u5e38\u4f1a\u5f97\u5230\u4e00\u4e2a\u62df\u5408\u888b\u6a21\u578b\uff0c\u4e0e\u5355\u4e2a\u51b3\u7b56\u6811\u76f8\u6bd4\uff0c\u8be5\u6a21\u578b\u4ea7\u751f\u7684\u6d4b\u8bd5\u9519\u8bef\u7387\u8981\u4f4e\u5f97\u591a\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u63d0\u4f9b\u4e86\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa bagged \u6a21\u578b\u7684\u5206\u6b65\u793a\u4f8b\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c1\u6b65\uff1a\u52a0\u8f7d\u5fc5\u8981\u7684\u5305<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u9996\u5148\uff0c\u6211\u4eec\u5c06\u52a0\u8f7d\u6b64\u793a\u4f8b\u6240\u9700\u7684\u5305\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (dplyr) <span style=\"color: #008080;\">#for data wrangling<\/span>\n<span style=\"color: #993300;\">library<\/span> (e1071) <span style=\"color: #008080;\">#for calculating variable importance<\/span>\n<span style=\"color: #993300;\">library<\/span> (caret) <span style=\"color: #008080;\">#for general model fitting<\/span>\n<span style=\"color: #993300;\">library<\/span> (rpart) <span style=\"color: #008080;\">#for fitting decision trees<\/span>\n<span style=\"color: #993300;\">library<\/span> (ipred) <span style=\"color: #008080;\">#for fitting bagged decision trees\n<\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c2\u6b65\uff1a\u5b89\u88c5\u888b\u88c5\u6a21\u578b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u540d\u4e3a<strong>\u201c\u7a7a\u6c14\u8d28\u91cf\u201d<\/strong>\u7684\u5185\u7f6e R \u6570\u636e\u96c6\uff0c\u5176\u4e2d\u5305\u542b\u7ebd\u7ea6\u5e02 153 \u5929\u7684\u7a7a\u6c14\u8d28\u91cf\u6d4b\u91cf\u503c\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view structure of air quality dataset<\/span>\nstr(airquality)\n\n'data.frame': 153 obs. of 6 variables:\n $ Ozone: int 41 36 12 18 NA 28 23 19 8 NA ...\n $Solar.R: int 190 118 149 313 NA NA 299 99 19 194 ...\n $ Wind: num 7.4 8 12.6 11.5 14.3 14.9 8.6 13.8 20.1 8.6 ...\n $ Temp: int 67 72 74 62 56 66 65 59 61 69 ...\n $Month: int 5 5 5 5 5 5 5 5 5 5 ...\n $Day: int 1 2 3 4 5 6 7 8 9 10 ...\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528<strong>ipred<\/strong>\u5e93\u4e2d\u7684<strong>bagging()<\/strong>\u51fd\u6570\u5728 R \u4e2d\u62df\u5408 bagged \u6a21\u578b\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set.seed(1)\n\n<span style=\"color: #008080;\">#fit the bagged model\n<\/span>bag &lt;- bagging(\n  formula = Ozone ~ .,\n  data = airquality,\n  nbagg = <span style=\"color: #008000;\">150<\/span> ,   \n  coob = <span style=\"color: #008000;\">TRUE<\/span> ,\n  control = rpart. <span style=\"color: #3366ff;\">control<\/span> (minsplit = <span style=\"color: #008000;\">2<\/span> , cp = <span style=\"color: #008000;\">0<\/span> )\n)\n\n<span style=\"color: #008080;\">#display fitted bagged model\n<\/span>bag\n\nBagging regression trees with 150 bootstrap replications \n\nCall: bagging.data.frame(formula = Ozone ~ ., data = airquality, nbagg = 150, \n    coob = TRUE, control = rpart.control(minsplit = 2, cp = 0))\n\nOut-of-bag estimate of root mean squared error: 17.4973<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u9009\u62e9\u4f7f\u7528<strong>150 \u4e2a<\/strong>\u5f15\u5bfc\u6837\u672c\u6765\u6784\u5efa\u888b\u88c5\u6a21\u578b\uff0c\u5e76\u6307\u5b9a<strong>coob<\/strong>\u4e3a<strong>TRUE<\/strong>\u4ee5\u83b7\u5f97\u4f30\u8ba1\u7684\u888b\u5916\u8bef\u5dee\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u5728<strong>rpart.control()<\/strong>\u51fd\u6570\u4e2d\u4f7f\u7528\u4e86\u4ee5\u4e0b\u89c4\u8303\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>minsplit = 2\uff1a<\/strong>\u8fd9\u544a\u8bc9\u6a21\u578b\u53ea\u9700\u8981\u8282\u70b9\u4e2d\u7684 2 \u4e2a\u89c2\u6d4b\u503c\u5373\u53ef\u8fdb\u884c\u5206\u5272\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>cp = 0<\/strong> \u3002\u8fd9\u662f\u590d\u6742\u6027\u53c2\u6570\u3002\u901a\u8fc7\u5c06\u5176\u8bbe\u7f6e\u4e3a 0\uff0c\u6211\u4eec\u4e0d\u9700\u8981\u6a21\u578b\u80fd\u591f\u4ee5\u4efb\u4f55\u65b9\u5f0f\u6539\u8fdb\u6574\u4f53\u62df\u5408\u6765\u6267\u884c\u5206\u5272\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u672c\u8d28\u4e0a\uff0c\u8fd9\u4e24\u4e2a\u8bba\u70b9\u5141\u8bb8\u4e2a\u4f53\u6811\u751f\u957f\u5f97\u975e\u5e38\u6df1\uff0c\u4ece\u800c\u5bfc\u81f4\u6811\u5177\u6709\u9ad8\u65b9\u5dee\u4f46\u4f4e\u504f\u5dee\u3002\u7136\u540e\uff0c\u5f53\u6211\u4eec\u5e94\u7528\u88c5\u888b\u65f6\uff0c\u6211\u4eec\u80fd\u591f\u51cf\u5c11\u6700\u7ec8\u6a21\u578b\u7684\u65b9\u5dee\uff0c\u540c\u65f6\u4fdd\u6301\u8f83\u4f4e\u7684\u504f\u5dee\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ece\u6a21\u578b\u7ed3\u679c\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u4f30\u8ba1\u7684\u888b\u5916 RMSE \u4e3a<strong>17.4973<\/strong> \u3002\u8fd9\u662f\u81ed\u6c27\u9884\u6d4b\u503c\u4e0e\u5b9e\u9645\u89c2\u6d4b\u503c\u4e4b\u95f4\u7684\u5e73\u5747\u5dee\u5f02\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 3 \u6b65\uff1a\u53ef\u89c6\u5316\u9884\u6d4b\u53d8\u91cf\u7684\u91cd\u8981\u6027<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5c3d\u7ba1\u888b\u88c5\u6a21\u578b\u5f80\u5f80\u6bd4\u5355\u4e2a\u51b3\u7b56\u6811\u63d0\u4f9b\u66f4\u51c6\u786e\u7684\u9884\u6d4b\uff0c\u4f46\u5f88\u96be\u89e3\u91ca\u548c\u53ef\u89c6\u5316\u62df\u5408\u888b\u88c5\u6a21\u578b\u7684\u7ed3\u679c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7136\u800c\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u7531\u4e8e\u7ed9\u5b9a\u9884\u6d4b\u53d8\u91cf\u7684\u5206\u5e03\uff08\u5728\u6240\u6709\u6811\u4e0a\u5e73\u5747\uff09\u800c\u5bfc\u81f4\u7684 RSS\uff08\u6b8b\u5dee\u5e73\u65b9\u548c\uff09\u7684\u603b\u51cf\u5c11\u91cf\u6765\u53ef\u89c6\u5316\u9884\u6d4b\u53d8\u91cf\u7684\u91cd\u8981\u6027\u3002\u503c\u8d8a\u5927\uff0c\u9884\u6d4b\u53d8\u91cf\u8d8a\u91cd\u8981\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528<strong>caret<\/strong>\u5e93\u4e2d\u7684<strong>varImp()<\/strong>\u51fd\u6570\u4e3a\u62df\u5408\u888b\u6a21\u578b\u521b\u5efa\u53d8\u91cf\u91cd\u8981\u6027\u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate variable importance\n<\/span>VI &lt;- data.frame(var= <span style=\"color: #3366ff;\">names<\/span> (airquality[,-1]), imp= <span style=\"color: #3366ff;\">varImp<\/span> (bag))\n\n<span style=\"color: #008080;\">#sort variable importance descending\n<\/span>VI_plot &lt;- VI[ <span style=\"color: #3366ff;\">order<\/span> (VI$Overall, decreasing= <span style=\"color: #008000;\">TRUE<\/span> ),]\n\n<span style=\"color: #008080;\">#visualize variable importance with horizontal bar plot\n<\/span>barplot(VI_plot$Overall,\n        names.arg= <span style=\"color: #3366ff;\">rownames<\/span> (VI_plot),\n        horiz= <span style=\"color: #008000;\">TRUE<\/span> ,\n        col=' <span style=\"color: #008000;\">steelblue<\/span> ',\n        xlab=' <span style=\"color: #008000;\">Variable Importance<\/span> ')\n<\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12115 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sac1.png\" alt=\"R \u4e2d\u7684\u53d8\u91cf\u91cd\u8981\u6027\u56fe\" width=\"424\" height=\"392\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230<strong>Solar.R<\/strong>\u662f\u6a21\u578b\u4e2d\u6700\u91cd\u8981\u7684\u9884\u6d4b\u53d8\u91cf\uff0c\u800c<strong>Month<\/strong>\u662f\u6700\u4e0d\u91cd\u8981\u7684\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 4 \u6b65\uff1a\u4f7f\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u62df\u5408\u888b\u6a21\u578b\u5bf9\u65b0\u7684\u89c2\u5bdf\u7ed3\u679c\u8fdb\u884c\u9884\u6d4b\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define new observation\n<\/span>new &lt;- data.frame(Solar.R=150, Wind=8, Temp=70, Month=5, Day=5)\n\n<span style=\"color: #008080;\">#use fitted bagged model to predict Ozone value of new observation\n<\/span>predict(bag, newdata=new)\n\n24.4866666666667\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6839\u636e\u9884\u6d4b\u53d8\u91cf\u7684\u503c\uff0c\u62df\u5408\u888b\u6a21\u578b\u9884\u6d4b\u8fd9\u4e00\u5929\u7684\u81ed\u6c27\u503c\u4e3a<strong>24,487<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b64\u793a\u4f8b\u4e2d\u4f7f\u7528\u7684\u5b8c\u6574 R \u4ee3\u7801\u53ef\u4ee5<a href=\"https:\/\/github.com\/Statorials\/R-Guides\/blob\/main\/bagging.R\" target=\"_blank\" rel=\"noopener noreferrer\">\u5728\u6b64\u5904<\/a>\u627e\u5230\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5f53\u6211\u4eec\u4e3a\u7ed9\u5b9a\u6570\u636e\u96c6\u521b\u5efa \u51b3\u7b56\u6811\u65f6\uff0c\u6211\u4eec\u4ec5\u4f7f\u7528\u5355\u4e2a\u8bad\u7ec3\u6570\u636e\u96c6\u6765\u6784\u5efa\u6a21\u578b\u3002 \u7136\u800c\uff0c\u4f7f\u7528\u5355\u4e2a\u51b3\u7b56\u6811\u7684\u7f3a\u70b9\u662f\u5b83\u5f80\u5f80\u4f1a\u906d [&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-1223","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\u5728 R \u4e2d\u88c5\u888b\uff08\u4e00\u6b65\u4e00\u6b65\uff09-Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u88c5\u5165 R\uff0c\u5305\u62ec\u5206\u6b65\u793a\u4f8b\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u88c5\u888b\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 R \u4e2d\u88c5\u888b\uff08\u4e00\u6b65\u4e00\u6b65\uff09-Statorials\" \/>\n<meta property=\"og:description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u88c5\u5165 R\uff0c\u5305\u62ec\u5206\u6b65\u793a\u4f8b\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u88c5\u888b\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T05:56:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sac1.png\" \/>\n<meta name=\"author\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/\",\"url\":\"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/\",\"name\":\"\u5982\u4f55\u5728 R \u4e2d\u88c5\u888b\uff08\u4e00\u6b65\u4e00\u6b65\uff09-Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/cn\/#website\"},\"datePublished\":\"2023-07-27T05:56:29+00:00\",\"dateModified\":\"2023-07-27T05:56:29+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/cn\/#\/schema\/person\/124e4e5b7c9f8dc0f1f95cc8c1db3261\"},\"description\":\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u88c5\u5165 R\uff0c\u5305\u62ec\u5206\u6b65\u793a\u4f8b\u3002\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u5bb6\",\"item\":\"https:\/\/statorials.org\/cn\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u5982\u4f55\u5728 r \u4e2d\u6267\u884c bagging\uff08\u4e00\u6b65\u4e00\u6b65\uff09\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/cn\/#website\",\"url\":\"https:\/\/statorials.org\/cn\/\",\"name\":\"Statorials\",\"description\":\"\u60a8\u7684\u7edf\u8ba1\u7d20\u517b\u6307\u5357\uff01\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/cn\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"zh-Hans\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/cn\/#\/schema\/person\/124e4e5b7c9f8dc0f1f95cc8c1db3261\",\"name\":\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"zh-Hans\",\"@id\":\"https:\/\/statorials.org\/cn\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/cn\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/cn\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a\"},\"description\":\"\u5927\u5bb6\u597d\uff0c\u6211\u662f\u672c\u6770\u660e\uff0c\u4e00\u4f4d\u9000\u4f11\u7684\u7edf\u8ba1\u5b66\u6559\u6388\uff0c\u540e\u6765\u6210\u4e3a Statorials \u7684\u70ed\u5fc3\u6559\u5e08\u3002 \u51ed\u501f\u5728\u7edf\u8ba1\u9886\u57df\u7684\u4e30\u5bcc\u7ecf\u9a8c\u548c\u4e13\u4e1a\u77e5\u8bc6\uff0c\u6211\u6e34\u671b\u5206\u4eab\u6211\u7684\u77e5\u8bc6\uff0c\u901a\u8fc7 Statorials \u589e\u5f3a\u5b66\u751f\u7684\u80fd\u529b\u3002\u4e86\u89e3\u66f4\u591a\",\"sameAs\":[\"https:\/\/statorials.org\/cn\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u5982\u4f55\u5728 R \u4e2d\u88c5\u888b\uff08\u4e00\u6b65\u4e00\u6b65\uff09-Statorials","description":"\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u88c5\u5165 R\uff0c\u5305\u62ec\u5206\u6b65\u793a\u4f8b\u3002","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u88c5\u888b\/","og_locale":"zh_CN","og_type":"article","og_title":"\u5982\u4f55\u5728 R \u4e2d\u88c5\u888b\uff08\u4e00\u6b65\u4e00\u6b65\uff09-Statorials","og_description":"\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u88c5\u5165 R\uff0c\u5305\u62ec\u5206\u6b65\u793a\u4f8b\u3002","og_url":"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u88c5\u888b\/","og_site_name":"Statorials","article_published_time":"2023-07-27T05:56:29+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/sac1.png"}],"author":"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a","twitter_card":"summary_large_image","twitter_misc":{"\u4f5c\u8005":"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a","\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4":"1 \u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/","url":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/","name":"\u5982\u4f55\u5728 R \u4e2d\u88c5\u888b\uff08\u4e00\u6b65\u4e00\u6b65\uff09-Statorials","isPartOf":{"@id":"https:\/\/statorials.org\/cn\/#website"},"datePublished":"2023-07-27T05:56:29+00:00","dateModified":"2023-07-27T05:56:29+00:00","author":{"@id":"https:\/\/statorials.org\/cn\/#\/schema\/person\/124e4e5b7c9f8dc0f1f95cc8c1db3261"},"description":"\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u88c5\u5165 R\uff0c\u5305\u62ec\u5206\u6b65\u793a\u4f8b\u3002","breadcrumb":{"@id":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/#breadcrumb"},"inLanguage":"zh-Hans","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e8%a3%85%e8%a2%8b\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u5bb6","item":"https:\/\/statorials.org\/cn\/"},{"@type":"ListItem","position":2,"name":"\u5982\u4f55\u5728 r \u4e2d\u6267\u884c bagging\uff08\u4e00\u6b65\u4e00\u6b65\uff09"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/cn\/#website","url":"https:\/\/statorials.org\/cn\/","name":"Statorials","description":"\u60a8\u7684\u7edf\u8ba1\u7d20\u517b\u6307\u5357\uff01","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/cn\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"zh-Hans"},{"@type":"Person","@id":"https:\/\/statorials.org\/cn\/#\/schema\/person\/124e4e5b7c9f8dc0f1f95cc8c1db3261","name":"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a","image":{"@type":"ImageObject","inLanguage":"zh-Hans","@id":"https:\/\/statorials.org\/cn\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/cn\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/cn\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u672c\u6770\u660e\u00b7\u5b89\u5fb7\u68ee\u535a"},"description":"\u5927\u5bb6\u597d\uff0c\u6211\u662f\u672c\u6770\u660e\uff0c\u4e00\u4f4d\u9000\u4f11\u7684\u7edf\u8ba1\u5b66\u6559\u6388\uff0c\u540e\u6765\u6210\u4e3a Statorials \u7684\u70ed\u5fc3\u6559\u5e08\u3002 \u51ed\u501f\u5728\u7edf\u8ba1\u9886\u57df\u7684\u4e30\u5bcc\u7ecf\u9a8c\u548c\u4e13\u4e1a\u77e5\u8bc6\uff0c\u6211\u6e34\u671b\u5206\u4eab\u6211\u7684\u77e5\u8bc6\uff0c\u901a\u8fc7 Statorials \u589e\u5f3a\u5b66\u751f\u7684\u80fd\u529b\u3002\u4e86\u89e3\u66f4\u591a","sameAs":["https:\/\/statorials.org\/cn"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/posts\/1223","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/comments?post=1223"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/posts\/1223\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/media?parent=1223"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/categories?post=1223"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/cn\/wp-json\/wp\/v2\/tags?post=1223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}