{"id":1961,"date":"2023-07-24T07:21:08","date_gmt":"2023-07-24T07:21:08","guid":{"rendered":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e5%88%86%e4%bd%8d%e6%95%b0%e5%87%bd%e6%95%b0\/"},"modified":"2023-07-24T07:21:08","modified_gmt":"2023-07-24T07:21:08","slug":"r%e4%b8%ad%e7%9a%84%e5%88%86%e4%bd%8d%e6%95%b0%e5%87%bd%e6%95%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e5%88%86%e4%bd%8d%e6%95%b0%e5%87%bd%e6%95%b0\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u4f7f\u7528 quantile() \u51fd\u6570"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5728\u7edf\u8ba1\u5b66\u4e2d\uff0c<strong>\u5206\u4f4d\u6570<\/strong>\u662f\u5c06\u5206\u7c7b\u6570\u636e\u96c6\u5206\u4e3a\u76f8\u7b49\u7ec4\u7684\u503c\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">R \u4e2d\u7684<strong>quantile()<\/strong>\u51fd\u6570\u53ef\u7528\u4e8e\u8ba1\u7b97\u6570\u636e\u96c6\u7684\u6837\u672c\u5206\u4f4d\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8be5\u51fd\u6570\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\uff1a<\/span><\/p>\n<p><strong><span style=\"color: #000000;\">\u5206\u4f4d\u6570(x, \u6982\u7387 = seq(0, 1, 0.25), na.rm = FALSE)<\/span><\/strong><\/p>\n<p><span style=\"color: #000000;\">\u91d1\u5b50\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>x<\/strong> \uff1a\u5411\u91cf\u540d\u79f0<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>probs<\/strong> \uff1a\u6982\u7387\u7684\u6570\u503c\u5411\u91cf<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>na.rm<\/strong> \uff1a\u662f\u5426\u5220\u9664 NA \u503c<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u529f\u80fd\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u8ba1\u7b97\u5411\u91cf\u7684\u5206\u4f4d\u6570<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728 R \u4e2d\u8ba1\u7b97\u5411\u91cf\u7684\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define vector of data<\/span> \ndata = c(1, 3, 3, 4, 5, 7, 8, 9, 12, 13, 13, 15, 18, 20, 22, 23, 24, 28)\n\n<span style=\"color: #008080;\">#calculate quartiles<\/span>\nquantile(data, probs = seq(0, 1, 1\/4))\n\n 0% 25% 50% 75% 100% \n1.0 5.5 12.5 19.5 28.0 \n\n<span style=\"color: #008080;\">#calculate quintiles<\/span>\nquantile(data, probs = seq(0, 1, 1\/5))\n\n 0% 20% 40% 60% 80% 100% \n1.0 4.4 8.8 13.4 21.2 28.0 \n\n<span style=\"color: #008080;\">#calculate deciles<\/span>\nquantile(data, probs = seq(0, 1, 1\/10))\n\n 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% \n1.0 3.0 4.4 7.1 8.8 12.5 13.4 17.7 21.2 23.3 28.0 \n\n<span style=\"color: #008080;\">#calculate random quantiles of interest<\/span>\nquantile(data, probs = c(.2, .5, .9))\n\n20% 50% 90% \n4.4 12.5 23.3\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a\u8ba1\u7b97\u6570\u636e\u6846\u4e2d\u5217\u7684\u5206\u4f4d\u6570<\/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\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (var1=c(1, 3, 3, 4, 5, 7, 7, 8, 12, 14, 18),\n                 var2=c(7, 7, 8, 3, 2, 6, 8, 9, 11, 11, 16),\n                 var3=c(3, 3, 6, 6, 8, 4, 4, 7, 10, 10, 11))\n\n<span style=\"color: #008080;\">#calculate quartiles of column 'var2'\n<\/span>quantile(df$var2, probs = seq(0, 1, 1\/4))\n\n  0% 25% 50% 75% 100% \n 2.0 6.5 8.0 10.0 16.0<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<strong>sapply()<\/strong>\u51fd\u6570\u4e00\u6b21\u8ba1\u7b97\u591a\u5217\u7684\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #008080;\">#calculate quartiles of every column\n<\/span>sapply(df, <span style=\"color: #008000;\">function<\/span> (x) quantile(x, probs = seq(0, 1, 1\/4)))\n\n     var1 var2 var3\n0% 1.0 2.0 3\n25% 3.5 6.5 4\n50% 7.0 8.0 6\n75% 10.0 10.0 9\n100% 18.0 16.0 11\n<\/span><\/strong><\/pre>\n<h3><strong>\u793a\u4f8b 3\uff1a\u6309\u7ec4\u8ba1\u7b97\u5206\u4f4d\u6570<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528<a href=\"https:\/\/dplyr.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">dplyr<\/a>\u5305\u4e2d\u7684\u51fd\u6570\u901a\u8fc7\u5206\u7ec4\u53d8\u91cf\u8ba1\u7b97\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #993300;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#define data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'C', 'C', 'C') ,\n                 points=c(1, 3, 3, 4, 5, 7, 7, 8, 12, 14, 18))\n\n<span style=\"color: #008080;\">#define quantiles of interest<\/span>\nq = c(.25, .5, .75)\n\n<span style=\"color: #008080;\">#calculate quantiles by grouping variable<\/span>\ndf %&gt;%\n  group_by(team) %&gt;%\n  summarize(quant25 = quantile(points, probs = q[1]), \n            quant50 = quantile(points, probs = q[2]),\n            quant75 = quantile(points, probs = q[3]))\n\n# A tibble: 3 x 4\n  team quant25 quant50 quant75\n           \n1 to 2.5 3 3.25\n2 B 6.5 7 7.25\n3 C 13 14 16   \n<\/strong><\/span><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u5c55\u793a\u5982\u4f55\u4f7f\u7528<strong>quantile()<\/strong>\u51fd\u6570\u8ba1\u7b97\u5176\u4ed6\u5e38\u89c1\u5206\u4f4d\u6570\u503c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u767e\u5206\u4f4d\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u8ba1\u7b97\u767e\u5206\u4f4d\u6570<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u5341\u5206\u4f4d\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u8ba1\u7b97\u5341\u5206\u4f4d\u6570<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-\u4e2d\u7684\u56db\u5206\u4f4d\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u8ba1\u7b97\u56db\u5206\u4f4d\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728\u7edf\u8ba1\u5b66\u4e2d\uff0c\u5206\u4f4d\u6570\u662f\u5c06\u5206\u7c7b\u6570\u636e\u96c6\u5206\u4e3a\u76f8\u7b49\u7ec4\u7684\u503c\u3002 R \u4e2d\u7684quantile()\u51fd\u6570\u53ef\u7528\u4e8e\u8ba1\u7b97\u6570\u636e\u96c6\u7684\u6837\u672c\u5206\u4f4d\u6570 [&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-1961","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 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