{"id":1113,"date":"2023-07-27T15:13:58","date_gmt":"2023-07-27T15:13:58","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e6%ac%a7%e6%b0%8f%e8%b7%9d%e7%a6%bb\/"},"modified":"2023-07-27T15:13:58","modified_gmt":"2023-07-27T15:13:58","slug":"r-%e4%b8%ad%e7%9a%84%e6%ac%a7%e6%b0%8f%e8%b7%9d%e7%a6%bb","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e6%ac%a7%e6%b0%8f%e8%b7%9d%e7%a6%bb\/","title":{"rendered":"\u5982\u4f55\u8ba1\u7b97 r \u4e2d\u7684\u6b27\u51e0\u91cc\u5fb7\u8ddd\u79bb\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u4e24\u4e2a\u5411\u91cf A \u548c B \u4e4b\u95f4\u7684<strong>\u6b27\u6c0f\u8ddd\u79bb<\/strong>\u8ba1\u7b97\u5982\u4e0b\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6b27\u6c0f\u8ddd\u79bb = \u221a <span style=\"border-top: 1px solid black;\">\u03a3(A <sub>i<\/sub> -B <sub>i<\/sub> ) <sup>2<\/sup><\/span><\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e3a\u4e86\u8ba1\u7b97 R \u4e2d\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u6b27\u51e0\u91cc\u5fb7\u8ddd\u79bb\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49\u4ee5\u4e0b\u51fd\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>euclidean &lt;- <span style=\"color: #008000;\">function<\/span> (a, b) <span style=\"color: #3366ff;\">sqrt<\/span> ( <span style=\"color: #3366ff;\">sum<\/span> ((a - b)^2))\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e2a\u51fd\u6570\u6765\u8ba1\u7b97\u4efb\u610f\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u6b27\u51e0\u91cc\u5f97\u8ddd\u79bb\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define two vectors<\/span>\na &lt;- c(2, 6, 7, 7, 5, 13, 14, 17, 11, 8)\nb &lt;- c(3, 5, 5, 3, 7, 12, 13, 19, 22, 7)\n\n<span style=\"color: #008080;\">#calculate Euclidean distance between vectors<\/span>\neuclid(a, b)\n\n[1] 12.40967\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4e24\u4e2a\u5411\u91cf\u4e4b\u95f4\u7684\u6b27\u51e0\u91cc\u5f97\u8ddd\u79bb\u4e3a<strong>12.40967<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u6b64\u51fd\u6570\u6765\u8ba1\u7b97\u6570\u636e\u6846\u4e24\u5217\u4e4b\u95f4\u7684\u6b27\u51e0\u91cc\u5f97\u8ddd\u79bb\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data frame<\/span>\ndf &lt;- data.frame(a=c(3, 4, 4, 6, 7, 14, 15),\n                 b=c(4, 8, 8, 9, 14, 13, 7),\n                 c=c(7, 7, 8, 5, 15, 11, 8),\n                 d=c(9, 6, 6, 7, 6, 15, 19))\n\n<span style=\"color: #008080;\">#calculate Euclidean distance between columns <em>a<\/em> and <em>d<\/em><\/span>\neuclid(df$a, df$d)\n\n[1] 7.937254\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u5982\u679c\u4e24\u4e2a\u5411\u91cf\u7684\u957f\u5ea6\u4e0d\u540c\uff0c\u6b64\u51fd\u6570\u5c06\u4ea7\u751f\u8b66\u544a\u6d88\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define two vectors of unequal length<\/span>\na &lt;- c(2, 6, 7, 7, 5, 13, 14)\nb &lt;- c(3, 5, 5, 3, 7, 12, 13, 19, 22, 7)\n\n<span style=\"color: #008080;\">#attempt to calculate Euclidean distance between vectors<\/span>\neuclid(a, b)\n\n[1] 23.93742\nWarning message:\nIn a - b: longer object length is not a multiple of shorter object length<\/strong><\/pre>\n<p><em><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u53c2\u8003<\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Euclidean_distance\" target=\"_blank\" rel=\"noopener noreferrer\">\u6b64\u7ef4\u57fa\u767e\u79d1\u9875\u9762<\/a><span style=\"color: #000000;\">\u4ee5\u4e86\u89e3\u6709\u5173\u6b27\u51e0\u91cc\u5f97\u8ddd\u79bb\u7684\u66f4\u591a\u4fe1\u606f\u3002<\/span><\/em><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u66fc\u54c8\u987f\u8ddd\u79bb-r\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7528R\u8ba1\u7b97\u5230\u66fc\u54c8\u987f\u7684\u8ddd\u79bb<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u95f5\u53ef\u592b\u65af\u57fa\u8ddd\u79bb\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97R\u4e2d\u7684\u95f5\u53ef\u592b\u65af\u57fa\u8ddd\u79bb<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u6c49\u660e\u8ddd\u79bb\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97R\u4e2d\u7684\u6c49\u660e\u8ddd\u79bb<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u9a6c\u54c8\u62c9\u8bfa\u6bd4\u65af\u8ddd\u79bb-r\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97R\u4e2d\u7684\u9a6c\u6c0f\u8ddd\u79bb<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u7f16\u8f91\u8ddd\u79bb\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u8ba1\u7b97R\u4e2d\u7684\u7f16\u8f91\u8ddd\u79bb<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e24\u4e2a\u5411\u91cf A \u548c B \u4e4b\u95f4\u7684\u6b27\u6c0f\u8ddd\u79bb\u8ba1\u7b97\u5982\u4e0b\uff1a \u6b27\u6c0f\u8ddd\u79bb = \u221a \u03a3(A i -B i ) 2 \u4e3a\u4e86\u8ba1\u7b97 R  [&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-1113","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 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