{"id":3064,"date":"2023-07-19T09:36:46","date_gmt":"2023-07-19T09:36:46","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r\/"},"modified":"2023-07-19T09:36:46","modified_gmt":"2023-07-19T09:36:46","slug":"%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u4f7f\u7528 fisher \u7684\u6700\u5c0f\u663e\u7740\u5dee\u5f02 (lsd)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/cn\/\u5355\u5411\u65b9\u5dee\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u5355\u5411\u65b9\u5dee\u5206\u6790<\/a>\u7528\u4e8e\u786e\u5b9a\u4e09\u4e2a\u6216\u66f4\u591a\u72ec\u7acb\u7ec4\u7684\u5e73\u5747\u503c\u4e4b\u95f4\u662f\u5426\u5b58\u5728\u7edf\u8ba1\u663e\u7740\u5dee\u5f02\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5355\u5411\u65b9\u5dee\u5206\u6790\u4e2d\u4f7f\u7528\u7684<a href=\"https:\/\/statorials.org\/cn\/\u7edf\u8ba1\u5b66\u4ee5\u7b80\u5355\u76f4\u63a5\u7684\u65b9\u5f0f\u89e3\u91ca\u6982\u5ff5\uff0c\u6211\u4eec\u4f7f\u5b66\u4e60\u7edf\u8ba1\u53d8\u5f97\u66f4\u5bb9\u6613\/\" target=\"_blank\" rel=\"noopener\">\u5047\u8bbe<\/a>\u662f\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>H <sub>0<\/sub><\/strong> \uff1a\u6bcf\u7ec4\u7684\u5e73\u5747\u503c\u76f8\u7b49\u3002<\/span><\/li>\n<li> <strong>H <sub style=\"color: #000000;\">A<\/sub><\/strong> <span style=\"color: #000000;\">\uff1a\u81f3\u5c11\u6709\u4e00\u79cd\u65b9\u5f0f\u4e0e\u5176\u4ed6\u65b9\u5f0f\u4e0d\u540c\u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u5982\u679c\u65b9\u5dee\u5206\u6790\u7684<a href=\"https:\/\/statorials.org\/cn\/\u7edf\u8ba1\u5b66\u4ee5\u7b80\u5355\u76f4\u63a5\u7684\u65b9\u5f0f\u89e3\u91ca\u6982\u5ff5\uff0c\u6211\u4eec\u4f7f\u5b66\u4e60\u7edf\u8ba1\u53d8\u5f97\u66f4\u5bb9\u6613\/\" target=\"_blank\" rel=\"noopener\">p \u503c<\/a>\u4f4e\u4e8e\u4e00\u5b9a\u7684\u663e\u7740\u6027\u6c34\u5e73\uff08\u4f8b\u5982 \u03b1 = 0.05\uff09\uff0c\u6211\u4eec\u53ef\u4ee5\u62d2\u7edd\u539f\u5047\u8bbe\u5e76\u5f97\u51fa\u7ed3\u8bba\uff1a\u7ec4\u5747\u503c\u4e2d\u81f3\u5c11\u6709\u4e00\u4e2a\u4e0e\u5176\u4ed6\u5747\u503c\u4e0d\u540c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f46\u8981\u51c6\u786e\u4e86\u89e3\u54ea\u4e9b\u7ec4\u5f7c\u6b64\u4e0d\u540c\uff0c\u6211\u4eec\u9700\u8981\u8fdb\u884c\u4e8b\u540e\u6d4b\u8bd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e38\u7528\u7684\u4e8b\u540e\u68c0\u9a8c\u662f<strong>Fisher \u6700\u5c0f\u663e\u7740\u5dee\u5f02 (LSD) \u68c0\u9a8c<\/strong>\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528<strong>agricolae<\/strong>\u5305\u4e2d\u7684<strong>LSD.test()<\/strong>\u51fd\u6570\u5728 R \u4e2d\u6267\u884c\u6b64\u6d4b\u8bd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4f8b\u5b50\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u9645\u4e2d\u4f7f\u7528\u8fd9\u4e2a\u529f\u80fd\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1aR \u4e2d\u7684 Fisher LSD \u6d4b\u8bd5<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u4e00\u4f4d\u6559\u6388\u60f3\u77e5\u9053\u4e09\u79cd\u4e0d\u540c\u7684\u5b66\u4e60\u6280\u5de7\u662f\u5426\u4f1a\u5bfc\u81f4\u5b66\u751f\u7684\u8003\u8bd5\u6210\u7ee9\u4e0d\u540c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e3a\u4e86\u6d4b\u8bd5\u8fd9\u4e00\u70b9\uff0c\u5979\u968f\u673a\u5206\u914d 10 \u540d\u5b66\u751f\u4f7f\u7528\u6bcf\u79cd\u5b66\u4e60\u6280\u5de7\u5e76\u8bb0\u5f55\u4ed6\u4eec\u7684\u8003\u8bd5\u7ed3\u679c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4e0b\u8868\u663e\u793a\u4e86<\/span><span style=\"color: #000000;\">\u6bcf\u4e2a\u5b66\u751f\u6839\u636e\u6240\u4f7f\u7528\u7684\u5b66\u4e60\u6280\u672f\u7684\u8003\u8bd5\u7ed3\u679c\uff1a<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-16018 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/moinssigdiff1.png\" alt=\"\" width=\"267\" height=\"287\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u8be5\u6570\u636e\u96c6\u5e76\u5728 R \u4e2d\u5bf9\u5176\u6267\u884c\u5355\u5411\u65b9\u5dee\u5206\u6790\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<span style=\"color: #000000;\">df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (technique = rep(c(\"tech1\", \"tech2\", \"tech3\"), each = <span style=\"color: #008000;\">10<\/span> ),\n                   score = c(72, 73, 73, 77, 82, 82, 83, 84, 85, 89,\n                             81, 82, 83, 83, 83, 84, 87, 90, 92, 93,\n                             77, 78, 79, 88, 89, 90, 91, 95, 95, 98))\n\n<span style=\"color: #008080;\">#view first six rows of data frame\n<\/span>head(df)\n\n  technical score\n1 tech1 72\n2 tech1 73\n3 tech1 73\n4 tech1 77\n5 tech1 82\n6 tech1 82\n\n<span style=\"color: #008080;\">#fit one-way ANOVA\n<\/span>model &lt;- aov(score ~ technique, data = df)\n\n<span style=\"color: #008080;\">#view summary of one-way ANOVA\n<\/span>summary(model)\n\n            Df Sum Sq Mean Sq F value Pr(&gt;F)  \ntechnical 2 341.6 170.80 4.623 0.0188 *\nResiduals 27,997.6 36.95                 \n---\nSignificant. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7531\u4e8e\u65b9\u5dee\u5206\u6790\u8868\u4e2d\u7684 p \u503c (0.0188) \u5c0f\u4e8e 0.05\uff0c\u56e0\u6b64\u6211\u4eec\u53ef\u4ee5\u5f97\u51fa\u7ed3\u8bba\uff0c\u4e09\u7ec4\u4e4b\u95f4\u7684\u6240\u6709\u5e73\u5747\u8003\u8bd5\u6210\u7ee9\u5e76\u4e0d\u76f8\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u56e0\u6b64\uff0c\u6211\u4eec\u53ef\u4ee5\u6267\u884c Fisher \u7684 LSD \u68c0\u9a8c\u6765\u786e\u5b9a\u54ea\u4e9b\u7ec4\u5747\u503c\u4e0d\u540c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u6267\u884c\u6b64\u64cd\u4f5c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">library<\/span> (agricolae)<\/span>\n\n#perform Fisher's LSD\n<span style=\"color: #000000;\">print( <span style=\"color: #3366ff;\">LSD.test<\/span> (model,\" <span style=\"color: #ff0000;\">technic<\/span> \"))\n            \n$statistics\n   MSerror Df Mean CV t.value LSD\n  36.94815 27 84.6 7.184987 2.051831 5.57767\n\n$parameters\n        test p.adjusted name.t ntr alpha\n  Fisher-LSD none technical 3 0.05\n\n$means\n      std score r LCL UCL Min Max Q25 Q50 Q75\ntech1 80.0 5.868939 10 76.05599 83.94401 72 89 74.00 82.0 83.75\ntech2 85.8 4.391912 10 81.85599 89.74401 81 93 83.00 83.5 89.25\ntech3 88.0 7.557189 10 84.05599 91.94401 77 98 81.25 89.5 94.00\n\n$comparison\nNULL\n\n$groups\n      score groups\ntech3 88.0 a\ntech2 85.8a\ntech1 80.0 b\n\nattr(,\"class\")\n[1] \u201cgroup\u201d\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7ed3\u679c\u4e2d\u6211\u4eec\u6700\u611f\u5174\u8da3\u7684\u90e8\u5206\u662f\u540d\u4e3a<strong>$groups<\/strong>\u7684\u90e8\u5206\u3002<strong>\u7ec4<\/strong>\u5217\u4e2d\u5177\u6709\u4e0d\u540c\u7279\u5f81\u7684\u6280\u672f\u6709\u5f88\u5927\u4e0d\u540c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ece\u7ed3\u679c\u6211\u4eec\u53ef\u4ee5\u770b\u51fa\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u6280\u672f 1 \u548c\u6280\u672f 3 \u7684\u5e73\u5747\u8003\u8bd5\u6210\u7ee9\u663e\u7740\u4e0d\u540c\uff08\u56e0\u4e3a tech1 \u7684\u503c\u4e3a\u201cb\u201d\uff0ctech3 \u7684\u503c\u4e3a\u201ca\u201d\uff09\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6280\u672f 1 \u548c\u6280\u672f 2 \u7684\u5e73\u5747\u8003\u8bd5\u6210\u7ee9\u663e\u7740\u4e0d\u540c\uff08\u56e0\u4e3a tech1 \u7684\u503c\u4e3a\u201cb\u201d\uff0ctech2 \u7684\u503c\u4e3a\u201ca\u201d\uff09\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u6280\u672f 2 \u548c\u6280\u672f 3 \u7684\u5e73\u5747\u8003\u8bd5\u6210\u7ee9<strong>\u6ca1\u6709<\/strong>\u663e\u7740\u5dee\u5f02\uff08\u56e0\u4e3a\u5b83\u4eec\u90fd\u6709\u201ca\u201d\u503c\uff09<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u5355\u56e0\u7d20\u65b9\u5dee\u5206\u6790\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5355\u5411\u65b9\u5dee\u5206\u6790<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684-bonferroni-\u6821\u6b63\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c Bonferroni \u4e8b\u540e\u6d4b\u8bd5<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u6d4b\u8bd5\u7ba1\u7406\u5668\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6267\u884c Scheffe \u4e8b\u540e\u6d4b\u8bd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5355\u5411\u65b9\u5dee\u5206\u6790\u7528\u4e8e\u786e\u5b9a\u4e09\u4e2a\u6216\u66f4\u591a\u72ec\u7acb\u7ec4\u7684\u5e73\u5747\u503c\u4e4b\u95f4\u662f\u5426\u5b58\u5728\u7edf\u8ba1\u663e\u7740\u5dee\u5f02\u3002 \u5355\u5411\u65b9\u5dee\u5206\u6790\u4e2d\u4f7f\u7528\u7684\u5047\u8bbe\u662f\uff1a H 0  [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3064","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u5728 R \u4e2d\u4f7f\u7528 Fisher \u7684\u6700\u5c0f\u663e\u7740\u5dee\u5f02 (LSD) - 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class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/cn\/%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r\/\",\"url\":\"https:\/\/statorials.org\/cn\/%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r\/\",\"name\":\"\u5982\u4f55\u5728 R \u4e2d\u4f7f\u7528 Fisher \u7684\u6700\u5c0f\u663e\u7740\u5dee\u5f02 (LSD) - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/cn\/#website\"},\"datePublished\":\"2023-07-19T09:36:46+00:00\",\"dateModified\":\"2023-07-19T09:36:46+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/cn\/#\/schema\/person\/124e4e5b7c9f8dc0f1f95cc8c1db3261\"},\"description\":\"\u672c\u6559\u7a0b\u901a\u8fc7\u793a\u4f8b\u8bf4\u660e\u5982\u4f55\u5728 R \u4e2d\u4f7f\u7528 Fisher \u7684\u6700\u5c0f\u663e\u7740\u5dee\u5f02 (LSD)\u3002\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/cn\/%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r\/#breadcrumb\"},\"inLanguage\":\"zh-Hans\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/cn\/%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/cn\/%e6%b8%94%e6%b0%91-lsd-%e5%9c%a8-r\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u5bb6\",\"item\":\"https:\/\/statorials.org\/cn\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u5982\u4f55\u5728 r \u4e2d\u4f7f\u7528 fisher \u7684\u6700\u5c0f\u663e\u7740\u5dee\u5f02 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