{"id":1713,"date":"2023-07-25T06:45:39","date_gmt":"2023-07-25T06:45:39","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99%e3%81%ae-lanova-%e3%81%ae%e7%b5%90%e6%9e%9c%e3%82%92%e8%a7%a3%e9%87%88%e3%81%99%e3%82%8b\/"},"modified":"2023-07-25T06:45:39","modified_gmt":"2023-07-25T06:45:39","slug":"r-%e3%81%a6%e3%82%99%e3%81%ae-lanova-%e3%81%ae%e7%b5%90%e6%9e%9c%e3%82%92%e8%a7%a3%e9%87%88%e3%81%99%e3%82%8b","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%a6%e3%82%99%e3%81%ae-lanova-%e3%81%ae%e7%b5%90%e6%9e%9c%e3%82%92%e8%a7%a3%e9%87%88%e3%81%99%e3%82%8b\/","title":{"rendered":"\u5b8c\u5168\u30ac\u30a4\u30c9: r \u3067 anova \u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u4e00\u65b9\u5411\u5206\u6563\u5206\u6790\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306f\u3001<\/a> 3 \u3064\u4ee5\u4e0a\u306e\u72ec\u7acb\u3057\u305f\u30b0\u30eb\u30fc\u30d7\u306e\u5e73\u5747\u9593\u306b\u7d71\u8a08\u7684\u306b\u6709\u610f\u306a\u5dee\u304c\u3042\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306e\u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306b\u95a2\u3059\u308b\u5b8c\u5168\u306a\u30ac\u30a4\u30c9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><strong>\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/h3>\n<p><span style=\"color: #000000;\">3 \u3064\u306e\u7570\u306a\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30b0\u30e9\u30e0\u306b\u3088\u3063\u3066\u500b\u4eba\u306e\u5e73\u5747\u4f53\u91cd\u6e1b\u5c11\u304c\u7570\u306a\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3057\u305f\u3044\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306b\u3001<\/span><span style=\"color: #000000;\">\u5b9f\u9a13\u306b\u53c2\u52a0\u3059\u308b 90 \u4eba\u3092\u52df\u96c6\u3057\u300130 \u4eba\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u5272\u308a\u5f53\u3066\u3066\u3001\u30d7\u30ed\u30b0\u30e9\u30e0 A\u3001\u30d7\u30ed\u30b0\u30e9\u30e0 B\u3001\u307e\u305f\u306f\u30d7\u30ed\u30b0\u30e9\u30e0 C \u306e\u3044\u305a\u308c\u304b\u3092 1 \u304b\u6708\u9593\u5b9f\u884c\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u4f5c\u696d\u3059\u308b\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<span style=\"color: #000000;\">set. <span style=\"color: #3366ff;\">seeds<\/span> (0)\n<\/span>\n#create data frame\n<span style=\"color: #000000;\">data &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (program = rep(c(' <span style=\"color: #008000;\">A<\/span> ', ' <span style=\"color: #008000;\">B<\/span> ', ' <span style=\"color: #008000;\">C<\/span> '), each = 30),\n                   weight_loss = c(runif(30, 0, 3),\n                                   runif(30, 0, 5),\n                                   runif(30, 1, 7)))<\/span>\n\n#view first six rows of data frame\n<span style=\"color: #000000;\">head(data)\n<\/span>\n<span style=\"color: #000000;\">program weight_loss\n1 A 2.6900916\n2 A 0.7965260\n3 A 1.1163717\n4 A 1.7185601\n5 A 2.7246234\n6 A 0.6050458<\/span>\n<\/span><\/strong><\/pre>\n<h3><strong>\u30b9\u30c6\u30c3\u30d7 2: ANOVA \u3092\u5b9f\u884c\u3059\u308b<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>aov()<\/strong>\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#fit one-way ANOVA model\n<span style=\"color: #000000;\">model &lt;- aov(weight_loss ~ program, data = data)<\/span>\n<\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 3: ANOVA \u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>summary()<\/strong>\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u3001\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306e\u7d50\u679c\u3092\u8868\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view summary of one-way ANOVA model\n<span style=\"color: #000000;\">summary(model)\n\n            Df Sum Sq Mean Sq F value Pr(&gt;F)    \nprogram 2 98.93 49.46 30.83 7.55e-11 ***\nResiduals 87 139.57 1.60                     \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5404\u7d50\u679c\u5024\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Program Df:<\/strong>\u5909\u6570<em>\u30d7\u30ed\u30b0\u30e9\u30e0<\/em>\u306e\u81ea\u7531\u5ea6\u3002\u3053\u308c\u306f #groups -1 \u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u5834\u5408\u30013 \u3064\u306e\u7570\u306a\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u3042\u308b\u305f\u3081\u3001\u3053\u306e\u5024\u306f 3-1 = <strong>2<\/strong>\u3068\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Df Residuals:<\/strong>\u6b8b\u5dee\u306e\u81ea\u7531\u5ea6\u3002\u3053\u308c\u306f\u3001\u89b3\u6e2c\u7dcf\u6570 \u2013 \u30b0\u30eb\u30fc\u30d7\u6570\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002\u3053\u306e\u5834\u5408\u300190 \u500b\u306e\u89b3\u6e2c\u5024\u3068 3 \u3064\u306e\u30b0\u30eb\u30fc\u30d7\u304c\u3042\u308b\u305f\u3081\u3001\u3053\u306e\u5024\u306f 90 -3 = <strong>87<\/strong>\u3068\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Program Sum Sq:<\/strong>\u5909\u6570<em>\u30d7\u30ed\u30b0\u30e9\u30e0<\/em>\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u305f\u5e73\u65b9\u548c\u3002\u3053\u306e\u5024\u306f<strong>98.93<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6b8b\u5dee\u4e8c\u4e57\u548c:<\/strong>\u6b8b\u5dee\u307e\u305f\u306f\u300c\u8aa4\u5dee\u300d\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u305f\u4e8c\u4e57\u548c\u3002\u3053\u306e\u5024\u306f<strong>139.57<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4e2d\u304f\u3089\u3044\u306e\u6b63\u65b9\u5f62\u3002\u30d7\u30ed\u30b0\u30e9\u30e0:<\/strong>\u30d7\u30ed\u30b0\u30e9\u30e0\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u305f\u5e73\u5747\u5e73\u65b9\u548c\u3002\u3053\u308c\u306f\u4e8c\u4e57\u548c\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002\u30d7\u30ed\u30b0\u30e9\u30e0 \/ \u30d7\u30ed\u30b0\u30e9\u30e0 Df.\u3053\u306e\u5834\u5408\u3001\u3053\u308c\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059: 98.93 \/ 2 = <strong>49.46<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u4e2d\u304f\u3089\u3044\u306e\u6b63\u65b9\u5f62\u3002\u6b8b\u5dee:<\/strong>\u6b8b\u5dee\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u305f\u5e73\u5747\u4e8c\u4e57\u548c\u3002\u3053\u308c\u306f\u4e8c\u4e57\u548c\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002\u6b8b\u57fa \/ \u6b8b\u57fa Df.\u3053\u306e\u5834\u5408\u3001\u3053\u308c\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059: 139.57 \/ 87 = <strong>1.60<\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>F \u5024:<\/strong> ANOVA \u30e2\u30c7\u30eb\u306e\u5168\u4f53\u7684\u306a F \u7d71\u8a08\u91cf\u3002\u3053\u308c\u306f\u4e8c\u4e57\u5e73\u5747\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002\u30d7\u30ed\u30b0\u30e9\u30e0 \/ \u5e73\u5747\u4e8c\u4e57\u3002\u6b8b\u7559\u7269\u3002\u3053\u306e\u5834\u5408\u3001\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059: 49.46 \/ 1.60 = <strong>30.83<\/strong> \u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Pr(&gt;F):<\/strong>\u5206\u5b50 df = 2\u3001\u5206\u6bcd df = 87 \u306e F \u7d71\u8a08\u91cf\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u305f p \u5024\u3002\u3053\u306e\u5834\u5408\u3001p \u5024\u306f<strong>7.552e-11<\/strong>\u3067\u3042\u308a\u3001\u975e\u5e38\u306b\u5c0f\u3055\u3044\u6570\u5024\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e00\u9023\u306e\u7d50\u679c\u306e\u4e2d\u3067\u6700\u3082\u91cd\u8981\u306a\u5024\u306f p \u5024\u3067\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u30013 \u3064\u306e\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5e73\u5747\u5024\u306b\u6709\u610f\u306a\u5dee\u304c\u3042\u308b\u304b\u3069\u3046\u304b\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3067\u306f\u6b21\u306e\u5e30\u7121\u4eee\u8aac\u3068\u5bfe\u7acb\u4eee\u8aac\u304c\u4f7f\u7528\u3055\u308c\u308b\u3053\u3068\u3092\u601d\u3044\u51fa\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub> (\u5e30\u7121\u4eee\u8aac):<\/strong>\u3059\u3079\u3066\u306e\u30b0\u30eb\u30fc\u30d7\u5e73\u5747\u306f\u7b49\u3057\u3044\u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>H <sub>A<\/sub> (\u5bfe\u7acb\u4eee\u8aac):<\/strong>\u5c11\u306a\u304f\u3068\u3082 1 \u3064\u306e\u30b0\u30eb\u30fc\u30d7\u5e73\u5747\u304c\u4ed6\u306e\u30b0\u30eb\u30fc\u30d7\u5e73\u5747\u3068\u306f\u7570\u306a\u308a\u307e\u3059\u3002<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">ANOVA \u30c6\u30fc\u30d6\u30eb\u306e p \u5024 (.7552e-11) \u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u5e30\u7121\u4eee\u8aac\u3092\u68c4\u5374\u3059\u308b\u5341\u5206\u306a\u8a3c\u62e0\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u308c\u306f\u3001\u500b\u4eba\u304c\u7d4c\u9a13\u3059\u308b\u5e73\u5747\u4f53\u91cd\u6e1b\u5c11\u304c 3 \u3064\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30d7\u30ed\u30b0\u30e9\u30e0\u9593\u3067\u540c\u7b49\u3067\u306f\u306a\u3044\u3068\u8a00\u3048\u308b\u5341\u5206\u306a\u8a3c\u62e0\u304c\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 4: \u4e8b\u5f8c\u30c6\u30b9\u30c8\u3092\u5b9f\u884c\u3059\u308b (\u5fc5\u8981\u306a\u5834\u5408)<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">ANOVA \u51fa\u529b\u306e p \u5024\u304c 0.05 \u672a\u6e80\u306e\u5834\u5408\u3001\u5e30\u7121\u4eee\u8aac\u306f\u68c4\u5374\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u5404\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5e73\u5747\u5024\u304c\u7b49\u3057\u304f\u306a\u3044\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u3053\u308c\u3067\u306f<em>\u3069\u306e<\/em>\u30b0\u30eb\u30fc\u30d7\u304c\u4e92\u3044\u306b\u7570\u306a\u308b\u304b\u306f\u5206\u304b\u308a\u307e\u305b\u3093\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u305d\u308c\u3092\u78ba\u8a8d\u3059\u308b\u306b\u306f\u3001<a href=\"https:\/\/statorials.org\/ja\/\u4e8b\u5f8c\u5206\u6563\u5206\u6790\u30c6\u30b9\u30c8\/\" target=\"_blank\" rel=\"noopener\">\u4e8b\u5f8c\u30c6\u30b9\u30c8<\/a>\u3092\u5b9f\u884c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 R \u3067\u306f\u3001 <strong>TukeyHSD()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3053\u308c\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#perform Tukey post-hoc test\n<span style=\"color: #000000;\">TukeyHSD(model)\n\n$program\n         diff lwr upr p adj\nBA 0.9777414 0.1979466 1.757536 0.0100545\nCA 2.5454024 1.7656076 3.325197 0.0000000\nCB 1.5676610 0.7878662 2.347456 0.0000199\n<\/span><\/span><\/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;\">\u30b0\u30eb\u30fc\u30d7 A \u3068\u30b0\u30eb\u30fc\u30d7 B \u306e\u9593\u306e\u5e73\u5747\u5dee\u306e\u8abf\u6574\u3055\u308c\u305f p \u5024\u306f<strong>0.0100545<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30b0\u30eb\u30fc\u30d7 A \u3068\u30b0\u30eb\u30fc\u30d7 C \u306e\u9593\u306e\u5e73\u5747\u5dee\u306e\u8abf\u6574\u3055\u308c\u305f p \u5024\u306f<strong>0.0000000<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30b0\u30eb\u30fc\u30d7 B \u3068\u30b0\u30eb\u30fc\u30d7 C \u306e\u9593\u306e\u5e73\u5747\u5dee\u306e\u8abf\u6574\u3055\u308c\u305f p \u5024\u306f<strong>0.0000199<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8abf\u6574\u5f8c\u306e\u5404 p \u5024\u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001<em>\u5404<\/em>\u30b0\u30eb\u30fc\u30d7\u9593\u306e\u5e73\u5747\u4f53\u91cd\u6e1b\u5c11\u306b\u306f\u6709\u610f\u306a\u5dee\u304c\u3042\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/ja\/\u4e00\u65b9\u5411\u5206\u6563\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306e\u6982\u8981<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/\u30bf\u3099\u30ce\u30cf\u3099\u4eee\u8aac\/\" target=\"_blank\" rel=\"noopener\">ANOVA \u306e\u4eee\u5b9a\u3092\u78ba\u8a8d\u3059\u308b\u65b9\u6cd5<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/one-way-anova-a-la-main\/\" target=\"_blank\" rel=\"noopener\">\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3092\u624b\u52d5\u3067\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/> <a href=\"https:\/\/statorials.org\/ja\/\u4e00\u65b9\u5411\u30bf\u3099\u30ce\u30cf\u3099\u96fb\u5353\/\" target=\"_blank\" rel=\"noopener\">\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u8a08\u7b97\u6a5f<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306f\u3001 3 \u3064\u4ee5\u4e0a\u306e\u72ec\u7acb\u3057\u305f\u30b0\u30eb\u30fc\u30d7\u306e\u5e73\u5747\u9593\u306b\u7d71\u8a08\u7684\u306b\u6709\u610f\u306a\u5dee\u304c\u3042\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002 \u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u306e\u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306b\u95a2\u3059\u308b\u5b8c\u5168\u306a\u30ac\u30a4\u30c9\u3092\u63d0\u4f9b\u3057\u307e\u3059 [&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-1713","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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