{"id":513,"date":"2023-07-29T16:08:42","date_gmt":"2023-07-29T16:08:42","guid":{"rendered":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e7%99%be%e5%88%86%e4%bd%8d%e6%95%b0\/"},"modified":"2023-07-29T16:08:42","modified_gmt":"2023-07-29T16:08:42","slug":"r-%e4%b8%ad%e7%9a%84%e7%99%be%e5%88%86%e4%bd%8d%e6%95%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r-%e4%b8%ad%e7%9a%84%e7%99%be%e5%88%86%e4%bd%8d%e6%95%b0\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u8f7b\u677e\u8ba1\u7b97\u767e\u5206\u4f4d\u6570\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u6570\u636e\u96c6\u7684\u7b2cn<sup>\u4e2a<\/sup><strong>\u767e\u5206\u4f4d\u6570<\/strong>\u662f\u5f53\u6240\u6709\u503c\u4ece\u5c0f\u5230\u5927\u6392\u5e8f\u65f6\u622a\u6389\u524d<em>n<\/em> %\u7684\u6570\u636e\u503c\u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6570\u636e\u96c6\u7684\u7b2c 90 \u4e2a\u767e\u5206\u4f4d\u6570\u662f\u5c06\u5e95\u90e8 90% \u7684\u6570\u636e\u503c\u4e0e\u9876\u90e8 10% \u7684\u6570\u636e\u503c\u5206\u5f00\u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6700\u5e38\u7528\u7684\u767e\u5206\u4f4d\u6570\u4e4b\u4e00\u662f\u7b2c 50 \u4e2a\u767e\u5206\u4f4d\u6570\uff0c\u5b83\u8868\u793a\u6570\u636e\u96c6\u7684\u4e2d\u503c\uff1a\u8fd9\u662f\u6240\u6709\u6570\u636e\u503c\u4e2d 50% \u4f4e\u4e8e\u8be5\u503c\u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u767e\u5206\u4f4d\u6570\u53ef\u7528\u4e8e\u56de\u7b54\u4ee5\u4e0b\u95ee\u9898\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u5b66\u751f\u9700\u8981\u5728\u7279\u5b9a\u6d4b\u8bd5\u4e2d\u53d6\u5f97\u591a\u5c11\u5206\u6570\u624d\u80fd\u8fdb\u5165\u524d 10%\uff1f<\/strong>\u4e3a\u4e86\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u6211\u4eec\u9700\u8981\u627e\u5230\u6240\u6709\u5206\u6570\u7684\u7b2c 90 \u4e2a\u767e\u5206\u4f4d\u6570\uff0c\u8be5\u503c\u662f\u5c06\u6392\u540d\u540e 90% \u7684\u5206\u6570\u4e0e\u6392\u540d\u524d 10% \u7684\u5206\u6570\u5206\u5f00\u7684\u503c\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>\u7279\u5b9a\u5b66\u6821\u5b66\u751f\u5e73\u5747\u8eab\u9ad8\u7684\u4e00\u534a\u662f\u591a\u5c11\uff1f<\/strong>\u4e3a\u4e86\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\uff0c\u6211\u4eec\u9700\u8981\u627e\u5230\u8eab\u9ad8\u7684\u7b2c 75 \u4e2a\u767e\u5206\u4f4d\u6570\u548c\u8eab\u9ad8\u7684\u7b2c 25 \u4e2a\u767e\u5206\u4f4d\u6570\uff0c\u8fd9\u4e24\u4e2a\u503c\u51b3\u5b9a\u4e86\u4e2d\u95f4 50% \u8eab\u9ad8\u7684\u4e0a\u9650\u548c\u4e0b\u9650\u3002<\/span><\/li>\n<\/ul>\n<h2><span style=\"color: #000000;\"><strong>\u5982\u4f55\u5728 R \u4e2d\u8ba1\u7b97\u767e\u5206\u4f4d\u6570<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>quantile()<\/strong>\u51fd\u6570\u8f7b\u677e\u8ba1\u7b97 R \u4e2d\u7684\u767e\u5206\u4f4d\u6570\uff0c\u8be5\u51fd\u6570\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><strong>\u5206\u4f4d\u6570<\/strong>(x, probs = seq(0, 1, 0.25))<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x\uff1a<\/strong>\u6211\u4eec\u5e0c\u671b\u627e\u5230\u5176\u767e\u5206\u4f4d\u6570\u7684\u6570\u503c\u5411\u91cf<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>probs\uff1a<\/strong> [0,1] \u4e2d\u7684\u6982\u7387\u6570\u503c\u5411\u91cf\uff0c\u8868\u793a\u6211\u4eec\u5e0c\u671b\u627e\u5230\u7684\u767e\u5206\u4f4d\u6570<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u67e5\u627e\u5411\u91cf\u7684\u767e\u5206\u4f4d\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u8bf4\u660e\u4e86\u5982\u4f55\u5728 R \u4e2d\u67e5\u627e\u7ed9\u5b9a\u5411\u91cf\u7684\u4e0d\u540c\u767e\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create vector of 100 random values uniformly distributed between 0 and 500\n<\/span>data &lt;- runif(100, 0, 500)\n\n<span style=\"color: #008080;\">#Find the quartiles (25th, 50th, and 75th percentiles) of the vector\n<\/span><span style=\"color: #800080;\">quantile<\/span> (data, probs = c(.25, .5, .75))\n\n# 25% 50% 75% \n#97.78961 225.07593 356.47943 \n\n<span style=\"color: #008080;\">#Find the deciles (10th, 20th, 30th, ..., 90th percentiles) of the vector\n<\/span><span style=\"color: #800080;\">quantile<\/span> (data, probs = seq(.1, .9, by = .1))\n\n# 10% 20% 30% 40% 50% 60% 70% 80% \n#45.92510 87.16659 129.49574 178.27989 225.07593 300.79690 337.84393 386.36108 \n#90% \n#423.28070\n\n<span style=\"color: #008080;\">#Find the 37th, 53rd, and 87th percentiles\n<\/span><span style=\"color: #800080;\">quantile<\/span> (data, probs = c(.37, .53, .87))\n\n# 37% 53% 87% \n#159.9561 239.8420 418.4787 \n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u67e5\u627e\u6570\u636e\u6846\u5217\u7684\u767e\u5206\u4f4d\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4e3a\u4e86\u8bf4\u660e\u5982\u4f55\u67e5\u627e\u7279\u5b9a\u6570\u636e\u6846\u5217\u7684\u767e\u5206\u4f4d\u6570\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u5185\u7f6e\u6570\u636e\u96c6<em>iris<\/em> \uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#view first six rows of <em>iris<\/em> dataset\n<\/span>head(iris)\n\n  Sepal.Length Sepal.Width Petal.Length Petal.Width Species\n1 5.1 3.5 1.4 0.2 setosa\n2 4.9 3.0 1.4 0.2 setosa\n3 4.7 3.2 1.3 0.2 setosa\n4 4.6 3.1 1.5 0.2 setosa\n5 5.0 3.6 1.4 0.2 setosa\n6 5.4 3.9 1.7 0.4 setosa\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u5982\u4f55\u67e5\u627e<em>Sepal.Length<\/em>\u5217\u7684\u7b2c 90 \u4e2a\u767e\u5206\u4f4d\u6570\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #800080;\">quantile<\/span> (iris$Sepal.Length, probs = 0.9)\n\n#90% \n#6.9<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u67e5\u627e\u591a\u4e2a\u6570\u636e\u6846\u5217\u7684\u767e\u5206\u4f4d\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<a href=\"https:\/\/statorials.org\/cn\/\u5728-r-\u4e2d\u5e94\u7528-lapply-sapply-\u548c-tapply-\u7684\u6307\u5357\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>apply()<\/strong><\/a>\u51fd\u6570\u4e00\u6b21\u67e5\u627e\u591a\u5217\u7684\u767e\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define columns we want to find percentiles for\n<\/span>small_iris&lt;- iris[, c('Sepal.Length', 'Sepal.Width', 'Petal.Length', 'Petal.Width')]\n\n<span style=\"color: #008080;\">#use <em>apply()<\/em> function to find 90th percentile for every column<\/span>\n<span style=\"color: #800080;\">apply<\/span> (small_iris, 2, function(x) quantile(x, probs = .9))\n\n#Sepal.Length Sepal.Width Petal.Length Petal.Width \n#6.90 3.61 5.80 2.20<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u6309\u7ec4\u641c\u7d22\u767e\u5206\u4f4d\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>dplyr<\/strong><\/a>\u5e93\u4e2d\u7684<strong>group_by()<\/strong>\u51fd\u6570\u5728 R \u4e2d\u6309\u7ec4\u67e5\u627e\u767e\u5206\u4f4d\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u67e5\u627e\u6bcf\u4e2a<em>Sepal.Length<\/em>\u7684\u7b2c 90 \u4e2a\u767e\u5206\u4f4d\u6570<\/span><br \/><span style=\"color: #000000;\">\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u4e2d\u7684\u4e09\u4e2a\u7269\u79cd\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load <em>dplyr<\/em> library<\/span>\nlibrary(dplyr)\n\n<span style=\"color: #008080;\">#find 90th percentile of <em>Sepal.Length<\/em> for each of the three species<\/span>\niris %&gt;%\n  <span style=\"color: #800080;\">group_by<\/span> (Species) %&gt;%\n  <span style=\"color: #800080;\">summarize<\/span> (percent90 = quantile(Sepal.Length, probs = .9))\n\n# A tibble: 3 x 2\n#Speciespercent90\n#            \n#1 setosa 5.41\n#2 versicolor 6.7 \n#3 virginica 7.61<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u8bf4\u660e\u4e86\u5982\u4f55\u6309\u7269\u79cd\u67e5\u627e\u6240\u6709\u53d8\u91cf\u7684\u7b2c 90 \u4e2a\u767e\u5206\u4f4d\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>iris %&gt;%\n  <span style=\"color: #800080;\">group_by<\/span> (Species) %&gt;%\n  <span style=\"color: #800080;\">summarize<\/span> (percent90_SL = quantile(Sepal.Length, probs = .9),\n            percent90_SW = quantile(Sepal.Width, probs = .9),\n            percent90_PL = quantile(Petal.Length, probs = .9),\n            percent90_PW = quantile(Petal.Width, probs = .9))\n\n# A tibble: 3 x 5\n# Species percent90_SL percent90_SW percent90_PL percent90_PW\n#                                      \n#1 setosa 5.41 3.9 1.7 0.4 \n#2 versicolor 6.7 3.11 4.8 1.51\n#3 virginica 7.61 3.31 6.31 2.4 \n<\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u67e5\u770b\u767e\u5206\u4f4d\u6570<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">R \u4e2d\u6ca1\u6709\u5185\u7f6e\u51fd\u6570\u6765\u53ef\u89c6\u5316\u6570\u636e\u96c6\u7684\u767e\u5206\u4f4d\u6570\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u6765\u76f8\u5bf9\u8f7b\u677e\u5730\u53ef\u89c6\u5316\u767e\u5206\u4f4d\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u4e3a<em>iris<\/em>\u6570\u636e\u96c6\u4e2d\u7684<em>Sepal.Length<\/em>\u6570\u636e\u503c\u521b\u5efa\u767e\u5206\u4f4d\u56fe\uff1a<\/span><\/p>\n<pre style=\"background-color: #e5e5e5; font-size: 15px;\"> <strong>n = length(iris$Sepal.Length)\nplot((1:n - 1)\/(n - 1), sort(iris$Sepal.Length), type=\"l\",\n  main = \"Visualizing Percentiles\",\n  xlab = \"Percentile\",\n  ylab = \"Value\")<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><b>\u5176\u4ed6\u8d44\u6e90<\/b><\/span><\/h3>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/cn\/\u5728-r-\u4e2d\u5e94\u7528-lapply-sapply-\u548c-tapply-\u7684\u6307\u5357\/\" target=\"_blank\" rel=\"noopener noreferrer\">R \u4e2d apply()\u3001lapply()\u3001sapply() \u548c tapply() \u6307\u5357<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6761\u4ef6\u7a81\u53d8r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u4f7f\u7528 mutate() \u548c case_when() \u5728 R \u4e2d\u521b\u5efa\u65b0\u53d8\u91cf<\/a><strong><br \/><\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6570\u636e\u96c6\u7684\u7b2cn\u4e2a\u767e\u5206\u4f4d\u6570\u662f\u5f53\u6240\u6709\u503c\u4ece\u5c0f\u5230\u5927\u6392\u5e8f\u65f6\u622a\u6389\u524dn %\u7684\u6570\u636e\u503c\u7684\u503c\u3002 \u4f8b\u5982\uff0c\u6570\u636e\u96c6\u7684\u7b2c 90 \u4e2a\u767e\u5206\u4f4d\u6570\u662f [&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-513","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\u8f7b\u677e\u8ba1\u7b97\u767e\u5206\u4f4d\u6570\uff08\u9644\u793a\u4f8b\uff09- Statory<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 R \u4e2d\u8ba1\u7b97\u767e\u5206\u4f4d\u6570\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u767e\u5206\u4f4d\u6570\/\" \/>\n<meta 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