{"id":1602,"date":"2023-07-25T16:59:31","date_gmt":"2023-07-25T16:59:31","guid":{"rendered":"https:\/\/statorials.org\/cn\/ggplot%e5%af%86%e5%ba%a6%e8%bf%b9%e7%ba%bf%e5%8f%a0%e5%8a%a0\/"},"modified":"2023-07-25T16:59:31","modified_gmt":"2023-07-25T16:59:31","slug":"ggplot%e5%af%86%e5%ba%a6%e8%bf%b9%e7%ba%bf%e5%8f%a0%e5%8a%a0","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/ggplot%e5%af%86%e5%ba%a6%e8%bf%b9%e7%ba%bf%e5%8f%a0%e5%8a%a0\/","title":{"rendered":"\u5982\u4f55\u5728 ggplot2 \u4e2d\u53e0\u52a0\u5bc6\u5ea6\u56fe\uff08\u9644\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u5bc6\u5ea6\u56fe<\/strong>\u662f\u53ef\u89c6\u5316\u6570\u636e\u96c6\u4e2d\u503c\u5206\u5e03\u7684\u6709\u7528\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u540c\u65f6\u67e5\u770b\u591a\u4e2a\u53d8\u91cf\u7684\u5bc6\u5ea6\u56fe\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528 R \u4e2d\u7684<a href=\"https:\/\/ggplot2.tidyverse.org\/\" target=\"_blank\" rel=\"noopener\">ggplot2<\/a>\u6570\u636e\u53ef\u89c6\u5316\u5305\u548c\u4ee5\u4e0b\u8bed\u6cd5\u5f88\u5bb9\u6613\u505a\u5230\u8fd9\u4e00\u70b9\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>ggplot(data, <span style=\"color: #3366ff;\">aes<\/span> (x=value, fill=variable)) +\n  geom_density(alpha= <span style=\"color: #008000;\">.25<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>alpha<\/strong>\u53c2\u6570\u63a7\u5236\u6bcf\u4e2a\u5bc6\u5ea6\u56fe\u7684\u4e0d\u900f\u660e\u5ea6\u3002\u5c06\u6b64\u503c\u8bbe\u7f6e\u4e3a\u4f4e\u4e8e 1 \u975e\u5e38\u91cd\u8981\uff0c\u8fd9\u6837\u60a8\u5c31\u53ef\u4ee5\u770b\u5230\u6bcf\u4e2a\u91cd\u53e0\u7684\u5bc6\u5ea6\u56fe\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u5206\u6b65\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u7b2c 1 \u6b65\uff1a\u521b\u5efa\u6570\u636e<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u9996\u5148\uff0c\u8ba9\u6211\u4eec\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u4e09\u4e2a\u53d8\u91cf\u7684\u5047\u6570\u636e\u96c6\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> (1)\n\n<span style=\"color: #008080;\">#createdata\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (var1=rnorm(1000, mean=0, sd=1),\n                 var2=rnorm(1000, mean=0, sd=3),\n                 var3=rnorm(1000, mean=3, sd=2))\n\n<span style=\"color: #008080;\">#view first six rows of data\n<\/span>head(df)\n\n        var1 var2 var3\n1 -0.6264538 3.4048953 1.2277008\n2 0.1836433 3.3357955 -0.8445098\n3 -0.8356286 -2.6123329 6.2394015\n4 1.5952808 0.6321948 4.0385398\n5 0.3295078 0.2081869 2.8883001\n6 -0.8204684 -4.9879466 4.3928352<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u6b65\u9aa4 2\uff1a\u5c06\u6570\u636e\u4ece\u5bbd\u6570\u636e\u8f6c\u6362\u4e3a\u957f\u6570\u636e<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u5c06\u6570\u636e\u4ece\u5bbd\u683c\u5f0f\u8f6c\u6362\u4e3a\u957f\u683c\u5f0f\uff0c\u4ee5\u4f7f\u5176\u4e0eggplot2\u517c\u5bb9\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #000000;\"><span style=\"color: #993300;\">library<\/span> (reshape)<\/span>\n<\/span>\n<span style=\"color: #008080;\">#convert from wide format to long format\n<span style=\"color: #000000;\">data &lt;- melt(df)\n\n<span style=\"color: #008080;\">#view first six rows\n<\/span>head(data)\n\n  variable value\n1 var1 -0.6264538\n2 var1 0.1836433\n3 var1 -0.8356286\n4 var1 1.5952808\n5 var1 0.3295078\n6 var1 -0.8204684<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u6b65\u9aa4 3\uff1a\u521b\u5efa\u91cd\u53e0\u5bc6\u5ea6\u56fe<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u91cd\u53e0\u5bc6\u5ea6\u56fe\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #993300;\">library<\/span> (ggplot2)\n<\/span>\n<span style=\"color: #008080;\">#create overlaying density plots\n<span style=\"color: #000000;\">ggplot(data, <span style=\"color: #3366ff;\">aes<\/span> (x=value, fill=variable)) +\n  geom_density(alpha= <span style=\"color: #008000;\">.25<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15919 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/densiteggplot1.png\" alt=\"\u5728 ggplot2 \u4e2d\u53e0\u52a0\u5bc6\u5ea6\u56fe\" width=\"424\" height=\"429\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u968f\u610f\u8c03\u6574<strong>alpha<\/strong>\u503c\u4ee5\u4f7f\u5bc6\u5ea6\u56fe\u6216\u591a\u6216\u5c11\u900f\u660e\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u5982\u679c\u6211\u4eec\u589e\u52a0 alpha \u503c\uff0c\u7ed8\u56fe\u5c06\u5982\u4e0b\u6240\u793a\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #993300;\">library<\/span> (ggplot2)\n<\/span>\n<span style=\"color: #008080;\">#create overlaying density plots\n<span style=\"color: #000000;\">ggplot(data, <span style=\"color: #3366ff;\">aes<\/span> (x=value, fill=variable)) +\n  geom_density(alpha= <span style=\"color: #008000;\">.7<\/span> )<\/span><\/span><\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-15920 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/densiteggplot2.png\" alt=\"\" width=\"414\" height=\"410\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u7518\u7279\u56fe-r-ggplot2\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 R \u4e2d\u521b\u5efa\u7518\u7279\u56fe<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/r-ggplot2-\u5206\u7ec4\u7bb1\u7ebf\u56fe\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 R \u4e2d\u521b\u5efa\u5206\u7ec4\u7bb1\u7ebf\u56fe<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5e76\u6392\u7ed8\u5236-ggplot2\/\">\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 R \u4e2d\u521b\u5efa\u5e76\u6392\u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5bc6\u5ea6\u56fe\u662f\u53ef\u89c6\u5316\u6570\u636e\u96c6\u4e2d\u503c\u5206\u5e03\u7684\u6709\u7528\u65b9\u6cd5\u3002 \u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u540c\u65f6\u67e5\u770b\u591a\u4e2a\u53d8\u91cf\u7684\u5bc6\u5ea6\u56fe\u3002\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528 R \u4e2d\u7684g [&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-1602","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 ggplot2 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