{"id":2557,"date":"2023-07-21T18:14:57","date_gmt":"2023-07-21T18:14:57","guid":{"rendered":"https:\/\/statorials.org\/cn\/r%e4%b8%ad%e7%9a%84%e5%88%86%e4%bd%8d%e6%95%b0%e5%bd%92%e4%b8%80%e5%8c%96\/"},"modified":"2023-07-21T18:14:57","modified_gmt":"2023-07-21T18:14:57","slug":"r%e4%b8%ad%e7%9a%84%e5%88%86%e4%bd%8d%e6%95%b0%e5%bd%92%e4%b8%80%e5%8c%96","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%bd%92%e4%b8%80%e5%8c%96\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u6267\u884c\u5206\u4f4d\u6570\u5f52\u4e00\u5316"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u5728\u7edf\u8ba1\u5b66\u4e2d\uff0c<a href=\"https:\/\/en.wikipedia.org\/wiki\/Quantile_normalization\" target=\"_blank\" rel=\"noopener\">\u5206\u4f4d\u6570\u5f52\u4e00\u5316<\/a>\u662f\u4e00\u79cd\u4f7f\u4e24\u4e2a\u5206\u5e03\u5728\u7edf\u8ba1\u7279\u6027\u65b9\u9762\u76f8\u540c\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5206\u4f4d\u6570\u5f52\u4e00\u5316\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1aR \u4e2d\u7684\u5206\u4f4d\u6570\u5f52\u4e00\u5316<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u5728 R \u4e2d\u521b\u5efa\u4ee5\u4e0b\u5305\u542b\u4e24\u5217\u7684\u6570\u636e\u6846\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<\/span>set. <span style=\"color: #3366ff;\">seeds<\/span> (0)\n\n<span style=\"color: #008080;\">#create data frame with two columns\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (x=rnorm(1000),\n                 y=rnorm(1000))\n\n<span style=\"color: #008080;\">#view first six rows of data frame\n<\/span>head(df)\n\n           xy\n1 1.2629543 -0.28685156\n2 -0.3262334 1.84110689\n3 1.3297993 -0.15676431\n4 1.2724293 -1.38980264\n5 0.4146414 -1.47310399\n6 -1.5399500 -0.06951893<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\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\">sapply()<\/a>\u548c<a href=\"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u5206\u4f4d\u6570\u51fd\u6570\/\" target=\"_blank\" rel=\"noopener\">quantile()<\/a>\u51fd\u6570\u6765\u8ba1\u7b97 x \u548c y \u7684\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate quantiles for x and y\n<\/span>sapply(df, function(x) quantile(x, probs = seq(0, 1, 1\/4)))\n\n               xy\n0% -3.23638573 -3.04536393\n25% -0.70845589 -0.73331907\n50% -0.05887078 -0.03181533\n75% 0.68763873 0.71755969\n100% 3.26641452 3.03903341\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0cx \u548c y \u7684\u5206\u4f4d\u6570\u503c\u76f8\u4f3c\uff0c\u4f46\u503c\u4e0d\u76f8\u540c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c x \u7684\u7b2c 25 \u4e2a\u767e\u5206\u4f4d\u6570\u503c\u4e3a<strong>-0.708<\/strong> \uff0c y \u7684\u7b2c 25 \u4e2a\u767e\u5206\u4f4d\u6570\u503c\u4e3a<strong>-0.7333<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8981\u6267\u884c\u5206\u4f4d\u6570\u5f52\u4e00\u5316\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 R \u4e2d<a href=\"https:\/\/bioconductor.org\/packages\/release\/bioc\/html\/preprocessCore.html\" target=\"_blank\" rel=\"noopener\">preprocessCore<\/a>\u5305\u4e2d\u7684<strong>normalize.quantiles()<\/strong>\u51fd\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (preprocessCore)\n\n<span style=\"color: #008080;\">#perform quantile normalization\n<\/span>df_norm &lt;- as. <span style=\"color: #3366ff;\">data<\/span> . <span style=\"color: #3366ff;\">frame<\/span> ( <span style=\"color: #3366ff;\">normalize.quantiles<\/span> ( <span style=\"color: #3366ff;\">as.matrix<\/span> (df)))\n\n<span style=\"color: #008080;\">#rename data frame columns\n<\/span>names(df_norm) &lt;- c(' <span style=\"color: #ff0000;\">x<\/span> ', ' <span style=\"color: #ff0000;\">y<\/span> ')\n\n<span style=\"color: #008080;\">#view first six row of new data frame\n<\/span>head(df_norm)\n\n           xy\n1 1.2632137 -0.28520228\n2 -0.3469744 1.82440519\n3 1.3465807 -0.16471644\n4 1.2692599 -1.34472394\n5 0.4161133 -1.43717759\n6 -1.6269731 -0.07906793\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u518d\u6b21\u8ba1\u7b97 x \u548c y \u7684\u5206\u4f4d\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate quantiles for x and y\n<\/span>sapply(df_norm, function(x) quantile(x, probs = seq(0, 1, 1\/4)))\n\n               xy\n0% -3.14087483 -3.14087483\n25% -0.72088748 -0.72088748\n50% -0.04534305 -0.04534305\n75% 0.70259921 0.70259921\n100% 3.15272396 3.15272396\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0cx \u548c y \u7684\u5206\u4f4d\u6570\u73b0\u5728\u76f8\u540c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u4f1a\u8bf4 x \u548c y \u5df2\u7ecf\u88ab\u5206\u4f4d\u6570\u5f52\u4e00\u5316\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u8fd9\u4e24\u4e2a\u5206\u5e03\u73b0\u5728\u5728\u7edf\u8ba1\u7279\u6027\u65b9\u9762\u662f\u76f8\u540c\u7684\u3002<\/span><\/p>\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\/\u5982\u4f55\u89c4\u8303\u5316r\u4e2d\u7684\u6570\u636e\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u6807\u51c6\u5316\u6570\u636e<\/a><br \/><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\u5206\u4f4d\u6570\u51fd\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 R \u4e2d\u4f7f\u7528 quantile() \u51fd\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728\u7edf\u8ba1\u5b66\u4e2d\uff0c\u5206\u4f4d\u6570\u5f52\u4e00\u5316\u662f\u4e00\u79cd\u4f7f\u4e24\u4e2a\u5206\u5e03\u5728\u7edf\u8ba1\u7279\u6027\u65b9\u9762\u76f8\u540c\u7684\u65b9\u6cd5\u3002 \u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728 R \u4e2d\u6267\u884c\u5206\u4f4d\u6570\u5f52\u4e00 [&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-2557","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\u6267\u884c\u5206\u4f4d\u6570\u5f52\u4e00\u5316 - 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