{"id":853,"date":"2023-07-28T12:58:50","date_gmt":"2023-07-28T12:58:50","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e7%b9%b0%e3%82%8a%e8%bf%94%e3%81%97%e6%b8%ac%e5%ae%9a-anova-python\/"},"modified":"2023-07-28T12:58:50","modified_gmt":"2023-07-28T12:58:50","slug":"%e7%b9%b0%e3%82%8a%e8%bf%94%e3%81%97%e6%b8%ac%e5%ae%9a-anova-python","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e7%b9%b0%e3%82%8a%e8%bf%94%e3%81%97%e6%b8%ac%e5%ae%9a-anova-python\/","title":{"rendered":"Python \u3067\u53cd\u5fa9\u6e2c\u5b9a anova \u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u5206\u6563\u5206\u6790\u306b\u3088\u308b\u7e70\u308a\u8fd4\u3057\u6e2c\u5b9a\/\" target=\"_blank\" rel=\"noopener\">\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u306f\u3001<\/a>\u5404\u30b0\u30eb\u30fc\u30d7\u306b\u540c\u3058\u88ab\u9a13\u8005\u304c\u542b\u307e\u308c\u308b 3 \u3064\u4ee5\u4e0a\u306e\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 data-slot-rendered-dynamic=\"true\"><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4e00\u5143\u914d\u7f6e\u53cd\u5fa9\u6e2c\u5b9a\u5206\u6563\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h2 data-slot-rendered-dynamic=\"true\"><span style=\"color: #000000;\"><strong>\u4f8b: Python \u3067\u306e\u53cd\u5fa9\u6e2c\u5b9a ANOVA<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u7814\u7a76\u8005\u3089\u306f\u30014 \u3064\u306e\u7570\u306a\u308b\u85ac\u5264\u304c\u7570\u306a\u308b\u53cd\u5fdc\u6642\u9593\u3092\u5f15\u304d\u8d77\u3053\u3059\u304b\u3069\u3046\u304b\u3092\u77e5\u308a\u305f\u3044\u3068\u8003\u3048\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306b\u3001\u5f7c\u3089\u306f 4 \u3064\u306e\u7570\u306a\u308b\u85ac\u306b\u5bfe\u3059\u308b 5 \u4eba\u306e\u60a3\u8005\u306e\u53cd\u5fdc\u6642\u9593\u3092\u6e2c\u5b9a\u3057\u307e\u3057\u305f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5404\u60a3\u8005\u306f 4 \u3064\u306e\u85ac\u5264\u306e\u305d\u308c\u305e\u308c\u306b\u3064\u3044\u3066\u6e2c\u5b9a\u3055\u308c\u308b\u305f\u3081\u3001\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u3092\u4f7f\u7528\u3057\u3066\u3001\u5e73\u5747\u53cd\u5fdc\u6642\u9593\u304c\u85ac\u5264\u9593\u3067\u7570\u306a\u308b\u304b\u3069\u3046\u304b\u3092\u5224\u65ad\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">Python \u3067\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u3001\u6b21\u306e\u624b\u9806\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 1: \u30c7\u30fc\u30bf\u3092\u5165\u529b\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u307e\u305a\u3001\u30c7\u30fc\u30bf\u3092\u4fdd\u6301\u3059\u308b\u30d1\u30f3\u30c0 DataFrame \u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #107d3f;\">import<\/span> numpy <span style=\"color: #107d3f;\">as<\/span> np\n<span style=\"color: #107d3f;\">import<\/span> pandas <span style=\"color: #107d3f;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createdata<\/span>\ndf = pd.DataFrame({'patient': np.repeat([1, 2, 3, 4, 5], 4),\n                   'drug': np.tile([1, 2, 3, 4], 5),\n                   'response': [30, 28, 16, 34,\n                                14, 18, 10, 22,\n                                24, 20, 18, 30,\n                                38, 34, 20, 44, \n                                26, 28, 14, 30]})\n\n<span style=\"color: #008080;\">#view first ten rows of data<\/span> \ndf.head[:10]\n\n\n\tpatient drug response\n0 1 1 30\n1 1 2 28\n2 1 3 16\n3 1 4 34\n4 2 1 14\n5 2 2 18\n6 2 3 10\n7 2 4 22\n8 3 1 24\n9 3 2 20<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 2: \u53cd\u5fa9\u6e2c\u5b9a ANOVA \u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u6b21\u306b\u3001 <strong>statsmodels<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<a href=\"https:\/\/www.statsmodels.org\/stable\/generated\/statsmodels.stats.anova.AnovaRM.html\" target=\"_blank\" rel=\"noopener\">AnovaRM() \u95a2\u6570<\/a>\u3092\u4f7f\u7528\u3057\u3066\u3001\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008000;\">from<\/span> statsmodels.stats.anova <span style=\"color: #008000;\">import<\/span> AnovaRM\n<\/span>\n<span style=\"color: #008080;\">#perform the repeated measures ANOVA<\/span>\nprint(AnovaRM(data= <span style=\"color: #008000;\">df<\/span> , depvar=' <span style=\"color: #008000;\">response<\/span> ', subject=' <span style=\"color: #008000;\">patient<\/span> ', within=[' <span style=\"color: #008000;\">drug<\/span> ']).fit())\n\n              Anova\n====================================\n     F Value Num DF Den DF Pr &gt; F\n----------------------------------\ndrug 24.7589 3.0000 12.0000 0.0000\n====================================\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 3: \u7d50\u679c\u3092\u89e3\u91c8\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u3067\u306f\u3001\u6b21\u306e\u5e30\u7121\u4eee\u8aac\u3068\u5bfe\u7acb\u4eee\u8aac\u304c\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u5e30\u7121\u4eee\u8aac (H <sub>0<\/sub> ):<\/strong> \u00b5 <sub>1<\/sub> = \u00b5 <sub>2<\/sub> = \u00b5 <sub>3<\/sub> (\u6bcd\u96c6\u56e3\u5e73\u5747\u306f\u3059\u3079\u3066\u7b49\u3057\u3044)<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u5bfe\u7acb\u4eee\u8aac: (Ha):<\/strong>\u5c11\u306a\u304f\u3068\u3082 1 \u3064\u306e\u6bcd\u96c6\u56e3\u5e73\u5747\u5024\u304c\u6b8b\u308a\u306e\u5e73\u5747\u5024\u3068\u7570\u306a\u308b<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u4f8b\u3067\u306f\u3001F \u691c\u5b9a\u7d71\u8a08\u91cf\u306f<strong>24.7589<\/strong>\u3067\u3001\u5bfe\u5fdc\u3059\u308b p \u5024\u306f<strong>0.0000<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e<a href=\"https:\/\/statorials.org\/ja\/p-\u5024\u306e\u7d71\u8a08\u7684\u6709\u610f\u6027\/\" target=\"_blank\" rel=\"noopener\">p \u5024<\/a>\u306f 0.05 \u672a\u6e80\u3067\u3042\u308b\u305f\u3081\u3001\u5e30\u7121\u4eee\u8aac\u306f\u68c4\u5374\u3055\u308c\u30014 \u3064\u306e\u85ac\u5264\u9593\u306e\u5e73\u5747\u5fdc\u7b54\u6642\u9593\u306b\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\u306a\u5dee\u304c\u3042\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u3089\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30b9\u30c6\u30c3\u30d7 4: \u7d50\u679c\u3092\u5831\u544a\u3057\u307e\u3059\u3002<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u6700\u5f8c\u306b\u3001\u7e70\u308a\u8fd4\u3057\u6e2c\u5b9a\u3057\u305f ANOVA \u306e\u7d50\u679c\u3092\u5831\u544a\u3057\u307e\u3059\u3002\u3053\u308c\u3092\u884c\u3046\u65b9\u6cd5\u306e\u4f8b\u3092\u6b21\u306b\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n<blockquote>\n<p><span style=\"color: #000000;\">\u5fdc\u7b54\u6642\u9593\u306b\u5bfe\u3059\u308b 4 \u3064\u306e\u7570\u306a\u308b\u85ac\u5264\u306e\u5f71\u97ff\u3092\u8abf\u3079\u308b\u305f\u3081\u306b\u30015 \u4eba\u306e\u500b\u4eba\u306b\u5bfe\u3057\u3066\u4e00\u5143\u914d\u7f6e\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u304c\u5b9f\u884c\u3055\u308c\u307e\u3057\u305f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7d50\u679c\u306f\u3001\u4f7f\u7528\u3055\u308c\u305f\u85ac\u5264\u306e\u7a2e\u985e\u306b\u3088\u3063\u3066\u53cd\u5fdc\u6642\u9593\u306b\u7d71\u8a08\u7684\u306b\u6709\u610f\u306a\u5dee\u304c\u751f\u3058\u308b\u3053\u3068\u304c\u793a\u3055\u308c\u307e\u3057\u305f (F(3, 12) = 24.75887\u3001p &lt; 0.001)\u3002<\/span><\/p>\n<\/blockquote>\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\u3001\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u306b\u95a2\u3059\u308b\u8ffd\u52a0\u60c5\u5831\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ja\/\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3068\u53cd\u5fa9\u6e2c\u5b9a\u5206\u6563\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u4e00\u5143\u914d\u7f6e\u5206\u6563\u5206\u6790\u3068\u53cd\u5fa9\u6e2c\u5b9a\u5206\u6563\u5206\u6790: \u9055\u3044<\/a><br \/><a href=\"https:\/\/statorials.org\/ja\/anova-\u306f\u624b\u52d5\u3066\u3099\u6e2c\u5b9a\u3092\u7e70\u308a\u8fd4\u3057\u307e\u3057\u305f\/\" target=\"_blank\" rel=\"noopener\">\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u3092\u624b\u52d5\u3067\u5b9f\u884c\u3059\u308b\u65b9\u6cd5<\/a><br \/> <a href=\"https:\/\/statorials.org\/ja\/\u53cd\u5fa9\u6e2c\u5b9a\u5206\u6563\u5206\u6790\u4eee\u8aac\/\" target=\"_blank\" rel=\"noopener\">\u53cd\u5fa9\u6e2c\u5b9a\u5206\u6563\u5206\u6790\u306e 3 \u3064\u306e\u4eee\u5b9a<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u53cd\u5fa9\u6e2c\u5b9a ANOVA \u306f\u3001\u5404\u30b0\u30eb\u30fc\u30d7\u306b\u540c\u3058\u88ab\u9a13\u8005\u304c\u542b\u307e\u308c\u308b 3 \u3064\u4ee5\u4e0a\u306e\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\u3001Python \u3067\u4e00\u5143\u914d\u7f6e\u53cd\u5fa9\u6e2c\u5b9a\u5206\u6563\u5206\u6790\u3092\u5b9f [&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-853","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site 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