{"id":2160,"date":"2023-07-23T10:58:58","date_gmt":"2023-07-23T10:58:58","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%88%aa%e6%96%ad-r-%e5%9d%87%e5%80%bc\/"},"modified":"2023-07-23T10:58:58","modified_gmt":"2023-07-23T10:58:58","slug":"%e6%88%aa%e6%96%ad-r-%e5%9d%87%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%88%aa%e6%96%ad-r-%e5%9d%87%e5%80%bc\/","title":{"rendered":"\u5982\u4f55\u8ba1\u7b97 r \u4e2d\u7684\u622a\u5c3e\u5e73\u5747\u503c\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u622a\u5c3e\u5747\u503c<\/strong>\u662f\u5728\u5220\u9664\u6570\u636e\u96c6\u4e2d\u7279\u5b9a\u767e\u5206\u6bd4\u7684\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\u540e\u8ba1\u7b97\u51fa\u7684\u6570\u636e\u96c6\u7684\u5e73\u5747\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c10% \u4fee\u526a\u5747\u503c\u8868\u793a\u5220\u9664\u6700\u5c0f 10% \u7684\u503c\u548c\u6700\u5927 10% \u7684\u503c\u540e\u6570\u636e\u96c6\u7684\u5e73\u5747\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5728 R \u4e2d\u8ba1\u7b97\u622a\u5c3e\u5e73\u5747\u503c\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 10% trimmed mean\n<\/span>mean(x, trim= <span style=\"color: #008000;\">0.1<\/span> )\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u51fd\u6570\u6765\u8ba1\u7b97\u4fee\u526a\u5e73\u5747\u503c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u8ba1\u7b97\u5411\u91cf\u7684\u622a\u5c3e\u5747\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u8ba1\u7b97\u6570\u636e\u5411\u91cf\u7684 10% \u4fee\u526a\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define data\n<\/span>data = c(22, 25, 29, 11, 14, 18, 13, 13, 17, 11, 8, 8, 7, 12, 15, 6, 8, 7, 9, 12)\n\n<span style=\"color: #008080;\">#calculate 10% trimmed mean<\/span>\nmean(data, trim= <span style=\"color: #008000;\">0.1<\/span> )\n\n[1] 12,375\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">10% \u4fee\u526a\u5e73\u5747\u503c\u4e3a<strong>12.375<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u662f\u4ece\u6570\u636e\u96c6\u4e2d\u5220\u9664\u6700\u5c0f 10% \u548c\u6700\u5927 10% \u7684\u503c\u540e\u7684\u6570\u636e\u96c6\u5e73\u5747\u503c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u5217\u7684\u622a\u5c3e\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u7279\u5b9a\u5217\u7684 5% \u4fee\u526a\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df = data. <span style=\"color: #3366ff;\">frame<\/span> (points=c(25, 12, 15, 14, 19, 23, 25, 29),\n                assists=c(5, 7, 7, 9, 12, 9, 9, 4),\n                rebounds=c(11, 8, 10, 6, 6, 5, 9, 12))\n\n<span style=\"color: #008080;\">#calculate 5% trimmed mean of points<\/span>\nmean(df$points, trim= <span style=\"color: #008000;\">0.05<\/span> )\n\n[1] 20.25\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u201c\u70b9\u201d\u5217\u4e2d\u7684\u503c\u7684 5% \u4fee\u526a\u5e73\u5747\u503c\u4e3a<strong>20.25<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8fd9\u662f\u5220\u9664 5% \u6700\u5c0f\u503c\u548c 5% \u6700\u5927\u503c\u540e\u201c\u70b9\u201d\u5217\u7684\u5e73\u5747\u503c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 3\uff1a\u8ba1\u7b97\u591a\u5217\u7684\u622a\u5c3e\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u591a\u5217\u7684 5% \u4fee\u526a\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create data frame\n<\/span>df = data. <span style=\"color: #3366ff;\">frame<\/span> (points=c(25, 12, 15, 14, 19, 23, 25, 29),\n                assists=c(5, 7, 7, 9, 12, 9, 9, 4),\n                rebounds=c(11, 8, 10, 6, 6, 5, 9, 12))\n\n<span style=\"color: #008080;\">#calculate 5% trimmed mean of points and assists<\/span>\nsapply(df[c(' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> ')], <span style=\"color: #008000;\">function<\/span> (x) mean(x, trim= <span style=\"color: #008000;\">0.05<\/span> ))\n\n assist points \n  20.25 7.75 \n<\/strong><\/pre>\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;\">\u201c\u70b9\u201d\u680f\u7684 5% \u4fee\u526a\u5e73\u5747\u503c\u4e3a<strong>20.25<\/strong> \u3002<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u201c\u52a9\u653b\u201d\u680f\u7684 5% \u4fee\u526a\u5e73\u5747\u503c\u4e3a<strong>7.75<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u76f8\u5173\uff1a<\/strong><\/span> <a href=\"https:\/\/statorials.org\/cn\/\u5728-r-\u4e2d\u5e94\u7528-lapply-sapply-\u548c-tapply-\u7684\u6307\u5357\/\" target=\"_blank\" rel=\"noopener\">R \u4e2d apply()\u3001lapply()\u3001sapply() \u548c tapply() \u6307\u5357<\/a><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u63d0\u4f9b\u4e86\u6709\u5173\u4fee\u526a\u5e73\u5747\u503c\u7684\u5176\u4ed6\u4fe1\u606f\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u8ba1\u7b97\u8c03\u6574\u540e\u7684\u5e73\u5747\u503c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u624b\u52a8\u8ba1\u7b97\u622a\u5c3e\u5e73\u5747\u503c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/python\u4e2d\u7684\u4e2d\u7b49\u5927\u5c0f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u622a\u5c3e\u5e73\u5747\u503c<\/a><br \/>\u622a\u5c3e\u5e73\u5747\u503c\u8ba1\u7b97\u5668<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u622a\u5c3e\u5747\u503c\u662f\u5728\u5220\u9664\u6570\u636e\u96c6\u4e2d\u7279\u5b9a\u767e\u5206\u6bd4\u7684\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\u540e\u8ba1\u7b97\u51fa\u7684\u6570\u636e\u96c6\u7684\u5e73\u5747\u503c\u3002 \u4f8b\u5982\uff0c10% \u4fee\u526a\u5747\u503c\u8868\u793a\u5220\u9664\u6700 [&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-2160","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\u8ba1\u7b97 R \u4e2d\u7684\u622a\u5c3e\u5e73\u5747\u503c\uff08\u9644\u793a\u4f8b\uff09-Statorials<\/title>\n<meta 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