{"id":1810,"date":"2023-07-24T21:34:45","date_gmt":"2023-07-24T21:34:45","guid":{"rendered":"https:\/\/statorials.org\/ja\/r%e3%81%aedist%e9%96%a2%e6%95%b0\/"},"modified":"2023-07-24T21:34:45","modified_gmt":"2023-07-24T21:34:45","slug":"r%e3%81%aedist%e9%96%a2%e6%95%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r%e3%81%aedist%e9%96%a2%e6%95%b0\/","title":{"rendered":"R \u3067 dist \u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5 (\u4f8b\u4ed8\u304d)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">R \u306e<strong>dist()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u884c\u5217\u307e\u305f\u306f\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u884c\u9593\u306e\u8ddd\u96e2\u3092\u8868\u793a\u3059\u308b\u8ddd\u96e2\u884c\u5217\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>dist(x, method=\u201d\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u201d)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x:<\/strong>\u884c\u5217\u307e\u305f\u306f\u30c7\u30fc\u30bf \u30d6\u30ed\u30c3\u30af\u306e\u540d\u524d\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u30e1\u30bd\u30c3\u30c9:<\/strong>\u4f7f\u7528\u3059\u308b\u8ddd\u96e2\u6e2c\u5b9a\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u306f\u300c\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u300d\u3067\u3059\u304c\u3001\u30aa\u30d7\u30b7\u30e7\u30f3\u306b\u306f\u300c\u6700\u5927\u300d\u3001\u300c\u30de\u30f3\u30cf\u30c3\u30bf\u30f3\u300d\u3001\u300c\u30ad\u30e3\u30f3\u30d9\u30e9\u300d\u3001\u300c\u30d0\u30a4\u30ca\u30ea\u300d\u3001\u307e\u305f\u306f\u300c\u30df\u30f3\u30b3\u30d5\u30b9\u30ad\u30fc\u300d\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001\u6b21\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3067\u3053\u306e\u95a2\u6570\u3092\u5b9f\u969b\u306b\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define four vectors\n<\/span>a &lt;- c(2, 4, 4, 6)\nb &lt;- c(5, 5, 7, 8)\nc &lt;- c(9, 9, 9, 8)\nd &lt;- c(1, 2, 3, 3)\n\n<span style=\"color: #008080;\">#row bind four vectors into matrix\n<\/span>mat &lt;- rbind(a, b, c, d)\n\n<span style=\"color: #008080;\">#view matrix\n<\/span>mast\n\n  [,1] [,2] [,3] [,4]\na 2 4 4 6\nb 5 5 7 8\nc 9 9 9 8\nd 1 2 3 3<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 1: dist() \u3092\u4f7f\u7528\u3057\u3066\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">2 \u3064\u306e\u30d9\u30af\u30c8\u30eb A \u3068 B \u306e\u9593\u306e<strong>\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2<\/strong>\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2 = \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;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u884c\u5217\u306e\u5404\u884c\u9593\u306e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u3092\u793a\u3059\u8ddd\u96e2\u884c\u5217\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate Euclidean distance between each row in matrix\n<\/span>dist(mat)\n\n          ABC\nb4.795832                    \nc 10.148892 6.000000          \nd 3.872983 8.124038 13.190906\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u7dda a \u3068\u7dda b \u306e\u9593\u306e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u306f<strong>4.795832<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7dda a \u3068\u7dda c \u306e\u9593\u306e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u306f<strong>10.148892<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7dda a \u3068\u7dda d \u306e\u9593\u306e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u306f<strong>3.872983<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7dda b \u3068\u7dda c \u306e\u9593\u306e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u306f<strong>6.000000<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7dda b \u3068\u7dda d \u306e\u9593\u306e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u306f<strong>8.124038<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7dda c \u3068\u7dda d \u306e\u9593\u306e\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u306f<strong>13.190906<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 2: dist() \u3092\u4f7f\u7528\u3057\u3066\u6700\u5927\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">2 \u3064\u306e\u30d9\u30af\u30c8\u30eb A \u3068 B \u9593\u306e<strong>\u6700\u5927\u8ddd\u96e2\u306f<\/strong>\u3001\u3059\u3079\u3066\u306e\u30da\u30a2\u8981\u7d20\u9593\u306e\u6700\u5927\u5dee\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u884c\u5217\u306e\u5404\u884c\u9593\u306e\u6700\u5927\u8ddd\u96e2\u3092\u8868\u793a\u3059\u308b\u8ddd\u96e2\u884c\u5217\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate Maximum distance between each row in matrix\n<\/span>dist(mat, method=\" <span style=\"color: #ff0000;\">maximum<\/span> \")\n\n  ABC\nb 3    \nc 7 4  \nd 3 5 8<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 3: dist() \u3092\u4f7f\u7528\u3057\u3066\u30ad\u30e3\u30f3\u30d9\u30e9\u304b\u3089\u306e\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">2 \u3064\u306e\u30d9\u30af\u30c8\u30eb A \u3068 B \u306e\u9593\u306e<strong>\u30ad\u30e3\u30f3\u30d9\u30e9\u8ddd\u96e2<\/strong>\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<br \/><\/span><\/p>\n<p><strong><span style=\"color: #000000;\">\u30ad\u30e3\u30f3\u30d9\u30e9\u304b\u3089\u306e\u8ddd\u96e2 = \u03a3 |A <sub>i<\/sub> -B <sub>i<\/sub> | \/ | <sub>AI<\/sub> | + |<sub>\u30d3\u30b8\u30a7<\/sub>|<\/span><\/strong><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u884c\u5217\u306e\u5404\u884c\u9593\u306e\u30ad\u30e3\u30f3\u30d9\u30e9\u8ddd\u96e2\u3092\u793a\u3059\u8ddd\u96e2\u884c\u5217\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate Canberra distance between each row in matrix\n<\/span>dist(mat, method=\" <span style=\"color: #ff0000;\">canberra<\/span> \")\n\n          ABC\nb 0.9552670                    \nc 1.5484515 0.6964286          \nd 1.1428571 1.9497835 2.3909091<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 4: dist() \u3092\u4f7f\u7528\u3057\u3066\u30d0\u30a4\u30ca\u30ea\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">2 \u3064\u306e\u30d9\u30af\u30c8\u30eb A \u3068 B \u306e\u9593\u306e<strong>\u30d0\u30a4\u30ca\u30ea\u8ddd\u96e2\u306f<\/strong>\u30012 \u3064\u306e\u30d9\u30af\u30c8\u30eb\u304c\u5171\u6709\u3059\u308b\u8981\u7d20\u306e\u5272\u5408\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u884c\u5217\u306e\u5404\u884c\u9593\u306e\u30d0\u30a4\u30ca\u30ea\u8ddd\u96e2\u3092\u793a\u3059\u8ddd\u96e2\u884c\u5217\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate Binary distance between each row in matrix\n<\/span>dist(mat, method=\" <span style=\"color: #ff0000;\">binary<\/span> \")\n\n  ABC\nb 0    \nc 0 0  \nd 0 0 0<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u4f8b 5: dist() \u3092\u4f7f\u7528\u3057\u3066\u30df\u30f3\u30b3\u30d5\u30b9\u30ad\u30fc\u8ddd\u96e2\u3092\u8a08\u7b97\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">2 \u3064\u306e\u30d9\u30af\u30c8\u30eb A \u3068 B \u306e\u9593\u306e<strong>\u30df\u30f3\u30b3\u30d5\u30b9\u30ad\u30fc\u8ddd\u96e2<\/strong>\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30df\u30f3\u30b3\u30d5\u30b9\u30ad\u30fc\u8ddd\u96e2 = (\u03a3|a <sub>i<\/sub> \u2013 b <sub>i<\/sub> | <sup>p<\/sup> ) <sup>1\/p<\/sup><\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u3053\u3067\u3001 <em>i<\/em>\u306f\u5404\u30d9\u30af\u30c8\u30eb\u306e i<sup>\u756a\u76ee\u306e<\/sup>\u8981\u7d20\u3001 <em>p<\/em>\u306f\u6574\u6570\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e\u884c\u5217\u306e\u5404\u884c\u9593\u306e\u30df\u30f3\u30b3\u30d5\u30b9\u30ad\u30fc\u8ddd\u96e2 (p=3 \u3092\u4f7f\u7528) \u3092\u793a\u3059\u8ddd\u96e2\u884c\u5217\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate Minkowski distance between each row in matrix\n<\/span>dist(mat, method=\" <span style=\"color: #ff0000;\">minkowski<\/span> \", p= <span style=\"color: #008000;\">3<\/span> )\n\n          ABC\nb 3.979057                    \nc 8.439010 5.142563          \nd 3.332222 6.542133 10.614765<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/r-\u306e\u30b7\u3099\u30e3\u30c3\u30ab\u30fc\u30c8\u3099\u985e\u4f3c\u5ea6\/\" target=\"_blank\" rel=\"noopener\">R \u3067 Jaccard \u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6-r\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r\u306e\u5185\u7a4d\/\" target=\"_blank\" rel=\"noopener\">R \u306e\u5185\u7a4d\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R \u306edist()\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u884c\u5217\u307e\u305f\u306f\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u884c\u9593\u306e\u8ddd\u96e2\u3092\u8868\u793a\u3059\u308b\u8ddd\u96e2\u884c\u5217\u3092\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002 \u3053\u306e\u95a2\u6570\u306f\u6b21\u306e\u57fa\u672c\u69cb\u6587\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002 dist(x, method=\u201d\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u201d) \u91d1\uff1a x:\u884c\u5217\u307e\u305f\u306f 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