{"id":3984,"date":"2023-07-14T08:54:44","date_gmt":"2023-07-14T08:54:44","guid":{"rendered":"https:\/\/statorials.org\/cn\/ggplot-%e7%9b%b4%e6%96%b9%e5%9b%be%e6%a0%87%e7%ad%be\/"},"modified":"2023-07-14T08:54:44","modified_gmt":"2023-07-14T08:54:44","slug":"ggplot-%e7%9b%b4%e6%96%b9%e5%9b%be%e6%a0%87%e7%ad%be","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/ggplot-%e7%9b%b4%e6%96%b9%e5%9b%be%e6%a0%87%e7%ad%be\/","title":{"rendered":"\u5982\u4f55\u5728 ggplot2 \u4e2d\u5411\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e\uff08\u5e26\u6709\u793a\u4f8b\uff09"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5411 ggplot2 \u4e2d\u7684\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>ggplot(data=df, aes(x=values_var)) + \n  geom_histogram(aes(fill=group_var), binwidth= <span style=\"color: #008000;\">1<\/span> , color=' <span style=\"color: #ff0000;\">black<\/span> ') +\n  stat_bin(binwidth= <span style=\"color: #008000;\">1<\/span> , geom=' <span style=\"color: #ff0000;\">text<\/span> ', color=' <span style=\"color: #ff0000;\">white<\/span> ', size= <span style=\"color: #008000;\">4<\/span> ,\n           aes(label=..count.., group=group_var), position=position_stack(vjust= <span style=\"color: #008000;\">0.5<\/span> ))\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b64\u7279\u5b9a\u793a\u4f8b\u6dfb\u52a0\u4e00\u4e2a\u767d\u8272\u6807\u7b7e\u6765\u663e\u793a\u76f4\u65b9\u56fe\u6bcf\u4e2a\u7c7b\u522b\u4e2d\u6bcf\u4e2a bin \u7684\u8ba1\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5728 ggplot2 \u4e2d\u5411\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u5728 R \u4e2d\u6709\u4ee5\u4e0b\u6570\u636e\u6846\uff0c\u5176\u4e2d\u5305\u542b\u6765\u81ea\u4e09\u4e2a\u4e0d\u540c\u7403\u961f\u7684\u7bee\u7403\u8fd0\u52a8\u5458\u5f97\u5206\u7684\u4fe1\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><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;\">#create data frame\n<\/span>df &lt;- data. <span style=\"color: #3366ff;\">frame<\/span> (team=rep(c(' <span style=\"color: #ff0000;\">A<\/span> ', ' <span style=\"color: #ff0000;\">B<\/span> ', ' <span style=\"color: #ff0000;\">C<\/span> '), each=100),\n                 points=c(runif(100, 5, 10),\n                          runif(100, 5, 10),\n                          runif(100, 5, 10)))\n\n<span style=\"color: #008080;\">#view head of data frame\n<\/span>head(df)\n\n  team points\n1 A 6.327543\n2 A 6.860619\n3 A 7.864267\n4 A 9.541039\n5 A 6.008410\n6 A 9.491948\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u4e00\u4e2a\u76f4\u65b9\u56fe\uff0c\u663e\u793a\u6bcf\u652f\u7403\u961f\u7403\u5458\u7684\u5f97\u5206\uff0c\u5e76\u5e26\u6709\u6307\u793a\u6bcf\u4e2a\u7bb1\u7684\u5f97\u5206\u7684\u6807\u7b7e\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create histogram with labels for each bin<\/span>\nggplot(data=df, aes(x=points)) + \n  geom_histogram(aes(fill=team), binwidth= <span style=\"color: #008000;\">1<\/span> , color=' <span style=\"color: #ff0000;\">black<\/span> ') +\n  stat_bin(binwidth= <span style=\"color: #008000;\">1<\/span> , geom=' <span style=\"color: #ff0000;\">text<\/span> ', color=' <span style=\"color: #ff0000;\">white<\/span> ', size= <span style=\"color: #008000;\">4<\/span> ,\n           aes(label=..count.., group=team), position=position_stack(vjust= <span style=\"color: #008000;\">0.5<\/span> ))<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-31897\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/laboratoires1.jpg\" alt=\"ggplot \u76f4\u65b9\u56fe\u6807\u7b7e\" width=\"602\" height=\"442\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u6bcf\u4e2a\u5783\u573e\u7bb1\u90fd\u6709\u4e00\u4e2a\u6807\u7b7e\uff0c\u663e\u793a\u6bcf\u4e2a\u5783\u573e\u7bb1\u7684\u7f16\u53f7\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u60a8\u53ef\u4ee5\u66f4\u6539<strong>stat_bin()<\/strong>\u51fd\u6570\u4e2d\u7684<strong>\u989c\u8272<\/strong>\u548c<strong>\u5927\u5c0f<\/strong>\u503c\u6765\u5206\u522b\u66f4\u6539\u6807\u7b7e\u7684\u989c\u8272\u548c\u5927\u5c0f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u4ee3\u66ff\u4f7f\u7528\u589e\u5927\u5b57\u4f53\u5927\u5c0f\u7684\u9ed1\u8272\u6807\u7b7e\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#create histogram with labels for each bin<\/span>\nggplot(data=df, aes(x=points)) + \n  geom_histogram(aes(fill=team), binwidth= <span style=\"color: #008000;\">1<\/span> , color=' <span style=\"color: #ff0000;\">black<\/span> ') +\n  stat_bin(binwidth= <span style=\"color: #008000;\">1<\/span> , geom=' <span style=\"color: #ff0000;\">text<\/span> ', color=' <span style=\"color: #ff0000;\">black<\/span> ', size= <span style=\"color: #008000;\">6<\/span> ,\n           aes(label=..count.., group=team), position=position_stack(vjust= <span style=\"color: #008000;\">0.5<\/span> ))<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-31898 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/laboratoires2.jpg\" alt=\"\" width=\"571\" height=\"416\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u6bcf\u4e2a\u5783\u573e\u7bb1\u7684\u6807\u7b7e\u73b0\u5728\u4f7f\u7528\u9ed1\u8272\u6587\u672c\u548c\u66f4\u5927\u7684\u5b57\u4f53\u5927\u5c0f\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u968f\u610f\u4f7f\u7528<strong>stat_bin()<\/strong>\u51fd\u6570\u4e2d\u7684<strong>\u989c\u8272<\/strong>\u548c<strong>\u5927\u5c0f<\/strong>\u53c2\u6570\uff0c\u4f7f\u6807\u7b7e\u6309\u60a8\u60f3\u8981\u7684\u65b9\u5f0f\u663e\u793a\u3002<\/span><\/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\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\/ggplot2-\u6309\u7ec4\u7684\u76f4\u65b9\u56fe\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728ggplot2\u4e2d\u6309\u7ec4\u521b\u5efa\u76f4\u65b9\u56fe<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/ggplot-\u76f4\u65b9\u56fe\u767e\u5206\u6bd4\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728ggplot2\u4e2d\u7684\u76f4\u65b9\u56fe\u4e0a\u663e\u793a\u767e\u5206\u6bd4<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/ggplot-\u76f4\u65b9\u56fe\u7bb1\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728ggplot2\u4e2d\u8bbe\u7f6e\u76f4\u65b9\u56fe\u7684bin\u6570<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u5411 ggplot2 \u4e2d\u7684\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e\uff1a ggplot(data=df, aes(x=v [&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-3984","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 \u4e2d\u5411\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e\uff08\u5e26\u6709\u793a\u4f8b\uff09 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 ggplot2 \u4e2d\u5411\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e\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\/ggplot-\u76f4\u65b9\u56fe\u6807\u7b7e\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 ggplot2 \u4e2d\u5411\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e\uff08\u5e26\u6709\u793a\u4f8b\uff09 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 ggplot2 \u4e2d\u5411\u76f4\u65b9\u56fe\u6dfb\u52a0\u6807\u7b7e\u3002\" \/>\n<meta property=\"og:url\" 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