{"id":3617,"date":"2023-07-16T12:08:13","date_gmt":"2023-07-16T12:08:13","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99%e3%81%ae%e3%82%a8%e3%83%ab%e3%83%9b%e3%82%99-%e3%83%a1%e3%82%bd%e3%83%83%e3%83%88%e3%82%99\/"},"modified":"2023-07-16T12:08:13","modified_gmt":"2023-07-16T12:08:13","slug":"r-%e3%81%a6%e3%82%99%e3%81%ae%e3%82%a8%e3%83%ab%e3%83%9b%e3%82%99-%e3%83%a1%e3%82%bd%e3%83%83%e3%83%88%e3%82%99","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99%e3%81%ae%e3%82%a8%e3%83%ab%e3%83%9b%e3%82%99-%e3%83%a1%e3%82%bd%e3%83%83%e3%83%88%e3%82%99\/","title":{"rendered":"R \u3067\u30a8\u30eb\u30dc\u30fc\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u6700\u9069\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/-10\/\" target=\"_blank\" rel=\"noopener\">\u6a5f\u68b0\u5b66\u7fd2<\/a>\u3067\u6700\u3082\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e 1 \u3064\u306f\u3001 <strong>k-means \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/strong>\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">K \u5e73\u5747\u6cd5\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5404\u89b3\u6e2c\u5024\u3092<em>K<\/em>\u500b\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306e 1 \u3064\u306b\u914d\u7f6e\u3059\u308b\u624b\u6cd5\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6700\u7d42\u7684\u306a\u76ee\u6a19\u306f\u3001\u5404\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u89b3\u6e2c\u5024\u304c\u4e92\u3044\u306b\u3088\u304f\u4f3c\u3066\u3044\u308b\u4e00\u65b9\u3067\u3001\u7570\u306a\u308b\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u89b3\u6e2c\u5024\u304c\u4e92\u3044\u306b\u307e\u3063\u305f\u304f\u7570\u306a\u308b<em>K<\/em>\u500b\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">K \u5e73\u5747\u6cd5\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u884c\u3046\u5834\u5408\u3001\u6700\u521d\u306e\u30b9\u30c6\u30c3\u30d7\u306f<em>K<\/em>\u306e\u5024 (\u89b3\u6e2c\u5024\u3092\u914d\u7f6e\u3059\u308b\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u6570) \u3092\u9078\u629e\u3059\u308b\u3053\u3068\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><em>K<\/em>\u306e\u5024\u3092\u9078\u629e\u3059\u308b\u6700\u3082\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u306e 1 \u3064\u306f\u3001<strong>\u30a8\u30eb\u30dc\u6cd5<\/strong>\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u3001x \u8ef8\u306b\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u6570\u3001y \u8ef8\u306b\u5e73\u65b9\u548c\u306e\u5408\u8a08\u3092\u4f7f\u7528\u3057\u3066\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u3001\u305d\u306e\u5f8c\u3001\u30d7\u30ed\u30c3\u30c8\u5185\u3067\u300c\u819d\u300d\u307e\u305f\u306f\u30bf\u30fc\u30f3\u304c\u73fe\u308c\u308b\u5834\u6240\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u300c\u30cb\u30fc\u300d\u304c\u767a\u751f\u3059\u308b x \u8ef8\u4e0a\u306e\u70b9\u306f\u3001k-means \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u4f7f\u7528\u3059\u308b\u6700\u9069\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u4f8b\u306f\u3001R \u3067\u30a8\u30eb\u30dc \u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u4f8b: R \u3067\u306e\u30a8\u30eb\u30dc \u30e1\u30bd\u30c3\u30c9\u306e\u4f7f\u7528<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u306f\u3001R \u306b\u7d44\u307f\u8fbc\u307e\u308c\u3066\u3044\u308b<strong>USArrests<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u30011973 \u5e74\u306e\u7c73\u56fd\u5404\u5dde\u306b\u304a\u3051\u308b\u6bba\u4eba\u3001\u66b4\u884c\u3001\u5f37\u59e6\u306b\u3088\u308b\u4eba\u53e3 100,000 \u4eba\u3042\u305f\u308a\u306e\u902e\u6355\u6570\u3068\u3001\u90fd\u5e02\u90e8\u306b\u4f4f\u3080\u5404\u5dde\u306e\u4eba\u53e3\u306e\u5272\u5408\u304c\u542b\u307e\u308c\u3066\u3044\u307e\u3059\u3002\u5730\u57df\u3002 \u3001\u30a2\u30fc\u30d0\u30f3\u30dd\u30c3\u30d7\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30ed\u30fc\u30c9\u3057\u3001\u6b20\u640d\u5024\u306e\u3042\u308b\u884c\u3092\u524a\u9664\u3057\u3001\u5e73\u5747\u304c 0\u3001\u6a19\u6e96\u504f\u5dee\u304c 1 \u306b\u306a\u308b\u3088\u3046\u306b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5404\u5909\u6570\u3092\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\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;\">#load data<\/span>\ndf &lt;-USArrests\n\n<span style=\"color: #008080;\">#remove rows with missing values<\/span><\/strong>\n<strong>df &lt;- na. <span style=\"color: #3366ff;\">omitted<\/span> (df)\n\n<span style=\"color: #008080;\">#scale each variable to have a mean of 0 and sd of 1<\/span><\/strong>\n<strong>df &lt;- scale(df)\n\n<span style=\"color: #008080;\">#view first six rows of dataset<\/span>\nhead(df)\n\n               Murder Assault UrbanPop Rape\nAlabama 1.24256408 0.7828393 -0.5209066 -0.003416473\nAlaska 0.50786248 1.1068225 -1.2117642 2.484202941\nArizona 0.07163341 1.4788032 0.9989801 1.042878388\nArkansas 0.23234938 0.2308680 -1.0735927 -0.184916602\nCalifornia 0.27826823 1.2628144 1.7589234 2.067820292\nColorado 0.02571456 0.3988593 0.8608085 1.864967207\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">K \u5e73\u5747\u6cd5\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u4f7f\u7528\u3059\u308b\u6700\u9069\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u3092\u898b\u3064\u3051\u308b\u306b\u306f\u3001 <strong>factoextra<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e<strong>fviz_nbclust()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u3068\u4e8c\u4e57\u548c\u306e\u5408\u8a08\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (cluster)\n<span style=\"color: #008000;\">library<\/span> (factoextra)\n\n<span style=\"color: #008080;\">#create plot of number of clusters vs total within sum of squares<\/span>\nfviz_nbclust(df, kmeans, method = \u201c <span style=\"color: #ff0000;\">wss<\/span> \u201d)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12310\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kmmoyenne1.png\" alt=\"R\u30d9\u30f3\u30c9\u6cd5\" width=\"444\" height=\"434\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30b0\u30e9\u30d5\u3067\u306f\u3001k = 4 \u30af\u30e9\u30b9\u30bf\u30fc\u306b\u300c\u30cb\u30fc\u300d\u307e\u305f\u306f\u30ad\u30f3\u30af\u304c\u3042\u308b\u3088\u3046\u306b\u898b\u3048\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u4e8c\u4e57\u548c\u306e\u5408\u8a08\u304c\u5b89\u5b9a\u3057\u59cb\u3081\u308b\u30dd\u30a4\u30f3\u30c8\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001k-means \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u4f7f\u7528\u3059\u308b\u6700\u9069\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u304c 4 \u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>: \u3088\u308a\u591a\u304f\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u4f7f\u7528\u3059\u308b\u3068\u4e8c\u4e57\u548c\u306e\u5408\u8a08\u304c\u5c0f\u3055\u304f\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u304c\u3001<a href=\"https:\/\/statorials.org\/ja\/\u6a5f\u68b0\u5b66\u7fd2\u306e\u904e\u5b66\u7fd2\/\" target=\"_blank\" rel=\"noopener\">\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u3092\u904e\u5270\u9069\u5408\u3059\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u3044<\/a>\u305f\u3081\u3001K \u5e73\u5747\u6cd5\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u30c6\u30b9\u30c8 \u30c7\u30fc\u30bf\u3067\u306f\u3046\u307e\u304f\u6a5f\u80fd\u3057\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30af\u30e9\u30b9\u30bf\u30fc<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e<strong>kmeans()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001 <em>k<\/em>\u306e\u6700\u9069\u5024 4 \u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u5bfe\u3057\u3066 k \u5e73\u5747\u6cd5\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<span style=\"color: #000000;\">set. <span style=\"color: #3366ff;\">seeds<\/span> (1)<\/span>\n\n#perform k-means clustering with k = 4 clusters\n<\/span>km &lt;- kmeans(df, centers = 4, nstart = 25)\n\n<span style=\"color: #008080;\">#view results\n<\/span>km\n\nK-means clustering with 4 clusters of sizes 16, 13, 13, 8\n\nCluster means:\n      Murder Assault UrbanPop Rape\n1 -0.4894375 -0.3826001 0.5758298 -0.26165379\n2 -0.9615407 -1.1066010 -0.9301069 -0.96676331\n3 0.6950701 1.0394414 0.7226370 1.27693964\n4 1.4118898 0.8743346 -0.8145211 0.01927104\n\nVector clustering:\n       Alabama Alaska Arizona Arkansas California Colorado \n             4 3 3 4 3 3 \n   Connecticut Delaware Florida Georgia Hawaii Idaho \n             1 1 3 4 1 2 \n      Illinois Indiana Iowa Kansas Kentucky Louisiana \n             3 1 2 1 2 4 \n         Maine Maryland Massachusetts Michigan Minnesota Mississippi \n             2 3 1 3 2 4 \n      Missouri Montana Nebraska Nevada New Hampshire New Jersey \n             3 2 2 3 2 1 \n    New Mexico New York North Carolina North Dakota Ohio Oklahoma \n             3 3 4 2 1 1 \n        Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee \n             1 1 1 4 2 4 \n         Texas Utah Vermont Virginia Washington West Virginia \n             3 1 2 1 1 2 \n     Wisconsin Wyoming \n             2 1 \n\nWithin cluster sum of squares by cluster:\n[1] 16.212213 11.952463 19.922437 8.316061\n (between_SS \/ total_SS = 71.2%)\n\nAvailable components:\n\n[1] \"cluster\" \"centers\" \"totss\" \"withinss\" \"tot.withinss\" \"betweenss\"   \n[7] \"size\" \"iter\" \"ifault\"         \n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u304b\u3089\u6b21\u306e\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>16 \u306e<\/b>\u72b6\u614b\u304c\u6700\u521d\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u3089\u308c\u307e\u3057\u305f<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>13 \u306e<\/strong>\u72b6\u614b\u304c 2 \u756a\u76ee\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u3089\u308c\u3066\u3044\u307e\u3059<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>13 \u306e<\/strong>\u5dde\u304c 3 \u756a\u76ee\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u3089\u308c\u3066\u3044\u307e\u3059<\/span><\/li>\n<li><span style=\"color: #000000;\"><b>8 \u3064\u306e<\/b>\u72b6\u614b\u304c 4 \u756a\u76ee\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u3089\u308c\u3066\u3044\u307e\u3059<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u5404\u5dde\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u5272\u308a\u5f53\u3066\u3092\u5143\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add cluster assignment to original data\n<span style=\"color: #000000;\">final_data &lt;- cbind(USArrests, cluster = km$cluster)\n<\/span>\n#view final data\n<span style=\"color: #000000;\">head(final_data)\n\n\t<\/span><span style=\"color: #000000;\">Murder Assault UrbanPop<\/span> <span style=\"color: #000000;\">Rape<\/span> <span style=\"color: #000000;\">cluster\n\t\t\t\t\nAlabama<\/span> <span style=\"color: #000000;\">13.2<\/span> <span style=\"color: #000000;\">236 58<\/span> <span style=\"color: #000000;\">21.2<\/span> <span style=\"color: #000000;\">4\nAlaska<\/span> <span style=\"color: #000000;\">10.0 263 48<\/span> <span style=\"color: #000000;\">44.5<\/span> <span style=\"color: #000000;\">2\nArizona<\/span> <span style=\"color: #000000;\">8.1 294 80<\/span> <span style=\"color: #000000;\">31.0<\/span> <span style=\"color: #000000;\">2\nArkansas<\/span> <span style=\"color: #000000;\">8.8 190 50<\/span> <span style=\"color: #000000;\">19.5<\/span> <span style=\"color: #000000;\">4\nCalifornia<\/span> <span style=\"color: #000000;\">9.0 276 91<\/span> <span style=\"color: #000000;\">40.6<\/span> <span style=\"color: #000000;\">2\nColorado<\/span> <span style=\"color: #000000;\">7.9 204 78<\/span> <span style=\"color: #000000;\">38.7<\/span> <span style=\"color: #000000;\">2\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5143\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u304b\u3089\u306e\u5404\u89b3\u6e2c\u5024\u306f\u30014 \u3064\u306e\u30b0\u30eb\u30fc\u30d7\u306e\u3044\u305a\u308c\u304b\u306b\u5206\u985e\u3055\u308c\u307e\u3057\u305f\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u3055\u307e\u3056\u307e\u306a\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u6bb5\u968e\u7684\u306a\u4f8b\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/k-\u306f-r-\u3066\u3099\u30af\u3099\u30eb\u30fc\u30d5\u309a\u5316\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u306e K-Means \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0: \u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\u4f8b<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/r-\u306e-k-medoid\/\" target=\"_blank\" rel=\"noopener\">R \u3067\u306e K-Medoids \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0: \u30b9\u30c6\u30c3\u30d7\u30d0\u30a4\u30b9\u30c6\u30c3\u30d7\u306e\u4f8b<\/a><br \/>R \u306e\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0: \u6bb5\u968e\u7684\u306a\u4f8b<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6a5f\u68b0\u5b66\u7fd2\u3067\u6700\u3082\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e 1 \u3064\u306f\u3001 k-means \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002 K \u5e73\u5747\u6cd5\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5404\u89b3\u6e2c\u5024\u3092K\u500b\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306e 1 \u3064\u306b\u914d\u7f6e\u3059\u308b\u624b [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-3617","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R \u3067 Elbow \u30e1\u30bd\u30c3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u6700\u9069\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u898b\u3064\u3051\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30a8\u30eb\u30dc\u6cd5\u3092\u5b9f\u884c\u3057\u3066\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 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