{"id":484,"date":"2023-07-29T18:10:23","date_gmt":"2023-07-29T18:10:23","guid":{"rendered":"https:\/\/statorials.org\/ja\/r%e3%81%ae%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%82%92%e6%ad%a3%e8%a6%8f%e5%8c%96%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/"},"modified":"2023-07-29T18:10:23","modified_gmt":"2023-07-29T18:10:23","slug":"r%e3%81%ae%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%82%92%e6%ad%a3%e8%a6%8f%e5%8c%96%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r%e3%81%ae%e3%83%86%e3%82%99%e3%83%bc%e3%82%bf%e3%82%92%e6%ad%a3%e8%a6%8f%e5%8c%96%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95\/","title":{"rendered":"R \u3067\u30c7\u30fc\u30bf\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u307b\u3068\u3093\u3069\u306e\u5834\u5408\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5909\u6570\u3092\u300c\u6b63\u898f\u5316\u300d\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u306f\u3001\u5909\u6570\u306e\u5e73\u5747\u304c 0\u3001\u6a19\u6e96\u504f\u5dee\u304c 1 \u306b\u306a\u308b\u3088\u3046\u306b\u5024\u3092\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5909\u6570\u3092\u6a19\u6e96\u5316\u3059\u308b\u6700\u3082\u4e00\u822c\u7684\u306a\u7406\u7531\u306f\u3001\u3042\u308b\u7a2e\u306e\u591a\u5909\u91cf\u5206\u6790\u3092\u5b9f\u884c\u3057\u3066\u3044\u308b\u3068\u304d (\u3064\u307e\u308a\u3001\u8907\u6570\u306e\u4e88\u6e2c\u5909\u6570\u3068\u5fdc\u7b54\u5909\u6570\u306e\u9593\u306e\u95a2\u4fc2\u3092\u7406\u89e3\u3057\u305f\u3044\u3068\u304d) \u3067\u3001\u5404\u5909\u6570\u304c\u5206\u6790\u306b\u5747\u7b49\u306b\u5bc4\u4e0e\u3059\u308b\u3088\u3046\u306b\u3057\u305f\u3044\u3068\u304d\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5909\u6570\u304c\u7570\u306a\u308b\u30b9\u30b1\u30fc\u30eb\u3067\u6e2c\u5b9a\u3055\u308c\u308b\u5834\u5408\u3001\u305d\u308c\u3089\u306f\u5206\u6790\u306b\u540c\u7b49\u306b\u5bc4\u4e0e\u3057\u306a\u3044\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u3042\u308b\u5909\u6570\u306e\u5024\u306e\u7bc4\u56f2\u304c 0 \uff5e 100,000 \u3067\u3001\u5225\u306e\u5909\u6570\u306e\u5024\u306e\u7bc4\u56f2\u304c 0 \uff5e 100 \u306e\u5834\u5408\u3001\u5206\u6790\u3067\u306f\u7bc4\u56f2\u304c\u5927\u304d\u3044\u5909\u6570\u306b\u5927\u304d\u306a\u91cd\u307f\u304c\u5272\u308a\u5f53\u3066\u3089\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u3042\u308b\u5909\u6570\u304c\u7d66\u4e0e (0 \uff5e 100,000 \u30c9\u30eb) \u306a\u3069\u3092\u6e2c\u5b9a\u3057\u3001\u5225\u306e\u5909\u6570\u304c\u5e74\u9f62 (0 \uff5e 100 \u6b73) \u306a\u3069\u3092\u6e2c\u5b9a\u3059\u308b\u5834\u5408\u306b\u3088\u304f\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5909\u6570\u3092\u6a19\u6e96\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u5404\u5909\u6570\u304c\u5206\u6790\u306b\u5747\u7b49\u306b\u5bc4\u4e0e\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002\u5909\u6570\u3092\u6b63\u898f\u5316 (\u307e\u305f\u306f\u300c\u30b9\u30b1\u30fc\u30eb\u300d) \u3059\u308b\u306b\u306f\u3001\u6b21\u306e 2 \u3064\u306e\u4e00\u822c\u7684\u306a\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u6700\u5c0f-\u6700\u5927\u6b63\u898f\u5316:<\/strong> (X \u2013 min(X)) \/ (max(X) \u2013 min(X))<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong><span style=\"color: #000000;\">Z \u30b9\u30b3\u30a2\u306e\u6a19\u6e96\u5316:<\/span><\/strong> (X \u2013 \u03bc) \/ \u03c3<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001\u3053\u308c\u3089 2 \u3064\u306e\u624b\u6cd5\u3092 R \u3067\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<h2> <strong><span style=\"color: #000000;\">R \u3067\u5909\u6570\u3092\u6b63\u898f\u5316 (\u307e\u305f\u306f\u300c\u30b9\u30b1\u30fc\u30eb\u300d) \u3059\u308b\u65b9\u6cd5<\/span><\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u5404\u4f8b\u3067\u306f\u3001\u7d44\u307f\u8fbc\u307f\u306e R \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<strong>iris<\/strong>\u3092\u4f7f\u7528\u3057\u3066\u3001R \u3067\u5909\u6570\u3092\u6b63\u898f\u5316\u307e\u305f\u306f\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <span style=\"color: #008080;\"><strong>#view first six rows of <em>iris<\/em> dataset\n<span style=\"color: #000000;\">head(iris)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 5.1 3.5 1.4 0.2 setosa\n#2 4.9 3.0 1.4 0.2 setosa\n#3 4.7 3.2 1.3 0.2 setosa\n#4 4.6 3.1 1.5 0.2 setosa\n#5 5.0 3.6 1.4 0.2 setosa\n#6 5.4 3.9 1.7 0.4 setosa\n<\/span><\/strong><\/span><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u6700\u5c0f\u5024\u3068\u6700\u5927\u5024\u306e\u6b63\u898f\u5316<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6700\u5c0f-\u6700\u5927\u6b63\u898f\u5316\u306e\u5f0f\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\">(X \u2013 \u6700\u5c0f(X))\/(\u6700\u5927(X) \u2013 \u6700\u5c0f(X))<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5909\u6570\u306e\u5404\u5024\u306b\u3064\u3044\u3066\u3001\u305d\u306e\u5024\u3068\u6700\u5c0f\u5024\u306e\u9593\u306e\u8ddd\u96e2\u3092\u5358\u7d14\u306b\u6c42\u3081\u3001\u7bc4\u56f2\u3067\u5272\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092 R \u3067\u5b9f\u88c5\u3059\u308b\u306b\u306f\u3001\u5358\u7d14\u306a\u95a2\u6570\u3092\u5b9a\u7fa9\u3057\u3001 <a href=\"https:\/\/statorials.org\/ja\/rapply-sapply\u3068tapply\u3092\u9069\u7528\u3059\u308b\u305f\u3081\u306e\u30ab\u3099\u30a4\u30c8\u3099\/\" target=\"_blank\" rel=\"noopener\">laply<\/a>\u3092\u4f7f\u7528\u3057\u3066\u3001\u5fc5\u8981\u306a<strong>iris<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5217\u306b\u305d\u306e\u95a2\u6570\u3092\u9069\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define Min-Max normalization function<\/span>\nmin_max_norm &lt;- <span style=\"color: #800080;\">function<\/span> (x) {\n    (x - min(x)) \/ (max(x) - min(x))\n  }\n\n<span style=\"color: #008080;\">#apply Min-Max normalization to first four columns in <em>iris<\/em> dataset\n<span style=\"color: #000000;\">iris_norm &lt;- as.data.frame(lapply(iris[1:4], min_max_norm))\n\n<span style=\"color: #008080;\">#view first six rows of normalized <em>iris<\/em> dataset<\/span>\nhead(iris_norm)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width\n#1 0.22222222 0.6250000 0.06779661 0.04166667\n#2 0.16666667 0.4166667 0.06779661 0.04166667\n#3 0.11111111 0.5000000 0.05084746 0.04166667\n#4 0.08333333 0.4583333 0.08474576 0.04166667\n#5 0.19444444 0.6666667 0.06779661 0.04166667\n#6 0.30555556 0.7916667 0.11864407 0.12500000\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5404\u5217\u306e\u5024\u304c 0 \u3068 1 \u306e\u9593\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u307e\u305f\u30015 \u756a\u76ee\u306e\u5217\u300cSpecies\u300d\u304c\u3053\u306e\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u304b\u3089\u524a\u9664\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u306b\u3082\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u7c21\u5358\u306b\u8ffd\u52a0\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add back <em>Species<\/em> column<\/span>\niris_norm$Species &lt;- iris$Species\n\n<span style=\"color: #008080;\">#view first six rows of <em>iris_norm\n<\/em><\/span>head(iris_norm)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 0.22222222 0.6250000 0.06779661 0.04166667 setosa\n#2 0.16666667 0.4166667 0.06779661 0.04166667 setosa\n#3 0.11111111 0.5000000 0.05084746 0.04166667 setosa\n#4 0.08333333 0.4583333 0.08474576 0.04166667 setosa\n#5 0.19444444 0.6666667 0.06779661 0.04166667 setosa\n#6 0.30555556 0.7916667 0.11864407 0.12500000 setosa\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Z\u30b9\u30b3\u30a2\u306e\u6a19\u6e96\u5316<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">min-max \u6b63\u898f\u5316\u624b\u6cd5\u306e\u6b20\u70b9\u306f\u3001\u30c7\u30fc\u30bf\u5024\u304c\u5e73\u5747\u5024\u306b\u8fd1\u3065\u304f\u3053\u3068\u3067\u3059\u3002\u5916\u308c\u5024\u304c\u4ed6\u306e\u5024\u3088\u308a\u3082\u91cd\u307f\u4ed8\u3051\u3055\u308c\u308b\u3088\u3046\u306b\u3057\u305f\u3044\u5834\u5408\u306f\u3001Z \u30b9\u30b3\u30a2\u306e\u6a19\u6e96\u5316\u3092\u5b9f\u88c5\u3059\u308b\u65b9\u304c\u826f\u3044\u624b\u6cd5\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">Z \u30b9\u30b3\u30a2\u3092\u6a19\u6e96\u5316\u3059\u308b\u5f0f\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\">(X \u2013 \u03bc) \/ \u03c3<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5909\u6570\u306e\u5404\u5024\u306b\u3064\u3044\u3066\u3001\u5358\u7d14\u306b\u5909\u6570\u306e\u5e73\u5747\u5024\u3092\u6e1b\u7b97\u3057\u3001\u5909\u6570\u306e\u6a19\u6e96\u504f\u5dee\u3067\u5272\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092 R \u3067\u5b9f\u88c5\u3059\u308b\u306b\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u30aa\u30d7\u30b7\u30e7\u30f3\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \u5909\u6570\u3092\u6a19\u6e96\u5316\u3059\u308b<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>iris<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e Sepal.Width \u306a\u3069\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5909\u6570\u3092\u5358\u306b\u6a19\u6e96\u5316\u3057\u305f\u3044\u5834\u5408\u306f\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#standardize<\/span> <span style=\"color: #008080;\"><em>Sepal.Width\n<\/em><\/span>iris$Sepal.Width &lt;- (iris$Sepal.Width - mean(iris$Sepal.Width)) \/ sd(iris$Sepal.Width)\n\nhead(iris)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 5.1 1.01560199 1.4 0.2 setosa\n#2 4.9 -0.13153881 1.4 0.2 setosa\n#3 4.7 0.32731751 1.3 0.2 setosa\n#4 4.6 0.09788935 1.5 0.2 setosa\n#5 5.0 1.24503015 1.4 0.2 setosa\n#6 5.4 1.93331463 1.7 0.4 setosa\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>Sepal.Width \u306e<\/em>\u5024\u306f\u3001\u5e73\u5747\u304c 0\u3001\u6a19\u6e96\u504f\u5dee\u304c 1 \u306b\u306a\u308b\u3088\u3046\u306b\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3055\u308c\u307e\u3059\u3002\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001\u3053\u308c\u3092\u78ba\u8a8d\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find mean of <em>Sepal.Width\n<\/em><\/span>mean(iris$Sepal.Width)\n\n#[1] 2.034094e-16 <span style=\"color: #008080;\">#basically zero<\/span>\n\n<span style=\"color: #008080;\">#find standard deviation of <em>Sepal.Width\n<\/em><\/span>sd(iris$Sepal.Width)\n\n#[1] 1<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>2. \u30b9\u30b1\u30fc\u30eb\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u8907\u6570\u306e\u5909\u6570\u3092\u6a19\u6e96\u5316\u3059\u308b<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u8907\u6570\u306e\u5909\u6570\u3092\u6b63\u898f\u5316\u3059\u308b\u306b\u306f\u3001 <em>scale<\/em>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3060\u3051\u3067\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001 <strong>iris<\/strong>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u521d\u306e 4 \u5217\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: #e5e5e5; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008080;\">#standardize first four columns of <em>iris<\/em> dataset<\/span>\niris_standardize &lt;- as.data.frame(scale(iris[1:4]))\n\n<span style=\"color: #008080;\">#view first six rows of standardized dataset<\/span>\n<\/strong><\/span><strong>head(iris_standardize)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width\n#1 -0.8976739 1.01560199 -1.335752 -1.311052\n#2 -1.1392005 -0.13153881 -1.335752 -1.311052\n#3 -1.3807271 0.32731751 -1.392399 -1.311052\n#4 -1.5014904 0.09788935 -1.279104 -1.311052\n#5 -1.0184372 1.24503015 -1.335752 -1.311052\n#6 -0.5353840 1.93331463 -1.165809 -1.048667\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u30c7\u30d5\u30a9\u30eb\u30c8\u3067\u306f\u3001 <em>scale<\/em>\u95a2\u6570\u306f\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u5404\u5217\u3092\u6b63\u898f\u5316\u3057\u3088\u3046\u3068\u3059\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u305d\u306e\u305f\u3081\u3001 <strong>Scale(iris)<\/strong>\u3092\u4f7f\u7528\u3057\u3088\u3046\u3068\u3059\u308b\u3068\u3001 <em>Species<\/em>\u5217\u304c\u6570\u5024\u3067\u306f\u306a\u304f\u6a19\u6e96\u5316\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u30a8\u30e9\u30fc\u304c\u767a\u751f\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>scale(iris)\n\n#Error in colMeans(x, na.rm = TRUE): 'x' must be numeric\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u305f\u3060\u3057\u3001 <strong>dplyr<\/strong>\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u7279\u5b9a\u306e\u5909\u6570\u306e\u307f\u3092\u6a19\u6e96\u5316\u3057\u3001\u4ed6\u306e\u3059\u3079\u3066\u306e\u5909\u6570\u3092\u540c\u3058\u306b\u4fdd\u3064\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u4ed6\u306e\u3059\u3079\u3066\u306e\u5909\u6570\u3092\u540c\u3058\u306b\u4fdd\u3061\u306a\u304c\u3089\u3001 <em>Sepal.Width<\/em>\u5909\u6570\u3068<em>Sepal.Length<\/em>\u5909\u6570\u3092\u6a19\u6e96\u5316\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>dplyr<\/em> package<\/span>\nlibrary(dplyr)\n\n<span style=\"color: #008080;\">#standardize <em>Sepal.Width<\/em> and <em>Sepal.Length<\/em>\n<\/span>iris_new &lt;- iris %&gt;% mutate_each_(list(~scale(.) %&gt;% as.vector),\n                                  vars = c(\"Sepal.Width\",\"Sepal.Length\"))\n\n<span style=\"color: #008080;\">#view first six rows of new data frame\n<\/span>head(iris_new)\n\n# Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n#1 -0.8976739 1.01560199 1.4 0.2 setosa\n#2 -1.1392005 -0.13153881 1.4 0.2 setosa\n#3 -1.3807271 0.32731751 1.3 0.2 setosa\n#4 -1.5014904 0.09788935 1.5 0.2 setosa\n#5 -1.0184372 1.24503015 1.4 0.2 setosa\n#6 -0.5353840 1.93331463 1.7 0.4 setosa\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><em>Sepal.Length<\/em>\u3068<em>Sepal.Width \u306f<\/em>\u3001\u4e21\u65b9\u306e\u5909\u6570\u306e\u5e73\u5747\u304c 0\u3001\u6a19\u6e96\u504f\u5dee\u304c 1 \u306b\u306a\u308b\u3088\u3046\u306b\u6a19\u6e96\u5316\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u5185\u306e\u4ed6\u306e 3 \u3064\u306e\u5909\u6570\u306f\u5909\u66f4\u3055\u308c\u306a\u3044\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u307b\u3068\u3093\u3069\u306e\u5834\u5408\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5909\u6570\u3092\u300c\u6b63\u898f\u5316\u300d\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u306f\u3001\u5909\u6570\u306e\u5e73\u5747\u304c 0\u3001\u6a19\u6e96\u504f\u5dee\u304c 1 \u306b\u306a\u308b\u3088\u3046\u306b\u5024\u3092\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002 \u5909\u6570\u3092\u6a19\u6e96\u5316\u3059\u308b\u6700\u3082\u4e00\u822c\u7684\u306a\u7406\u7531\u306f\u3001\u3042\u308b\u7a2e\u306e\u591a\u5909\u91cf\u5206\u6790\u3092\u5b9f\u884c\u3057\u3066\u3044\u308b [&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-484","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\u30c7\u30fc\u30bf\u3092\u6b63\u898f\u5316\u3059\u308b\u65b9\u6cd5 - Statorials<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u30c7\u30fc\u30bf\u3092\u7c21\u5358\u306b\u6b63\u898f\u5316\u307e\u305f\u306f\u30b9\u30b1\u30fc\u30eb\u3059\u308b\u305f\u3081\u306e\u3044\u304f\u3064\u304b\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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