{"id":3786,"date":"2023-07-15T13:42:37","date_gmt":"2023-07-15T13:42:37","guid":{"rendered":"https:\/\/statorials.org\/cn\/ggplot2-%e7%bb%98%e5%88%b6%e5%b9%b3%e5%9d%87%e5%80%bc%e5%92%8c%e6%a0%87%e5%87%86%e5%b7%ae\/"},"modified":"2023-07-15T13:42:37","modified_gmt":"2023-07-15T13:42:37","slug":"ggplot2-%e7%bb%98%e5%88%b6%e5%b9%b3%e5%9d%87%e5%80%bc%e5%92%8c%e6%a0%87%e5%87%86%e5%b7%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/ggplot2-%e7%bb%98%e5%88%b6%e5%b9%b3%e5%9d%87%e5%80%bc%e5%92%8c%e6%a0%87%e5%87%86%e5%b7%ae\/","title":{"rendered":"\u5982\u4f55\u5728ggplot2\u4e2d\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u60f3\u5728 ggplot2 \u4e2d\u6309\u7ec4\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528 ggplot2 \u4e2d\u7684<strong>geom_point()<\/strong>\u548c<strong>geom_errorbar()<\/strong>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u505a\u5230\u8fd9\u4e00\u70b9\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u6f14\u793a\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u51fd\u6570\u521b\u5efa\u4ee5\u4e0b\u56fe\u8868\uff0c\u8be5\u56fe\u8868\u663e\u793a\u4e0d\u540c\u7bee\u7403\u961f\u5f97\u5206\u7684\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\uff1a<\/span> <\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-30752\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/signifie-td1.jpg\" alt=\"\u5728 ggplot2 \u4e2d\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\" width=\"462\" height=\"465\" srcset=\"\" sizes=\"auto, \"><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u5728 ggplot2 \u4e2d\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee<\/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\u6709\u5173\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;\">#create data frame<\/span>\ndf &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= <span style=\"color: #008000;\">6<\/span> ),\n                 points=c(8, 10, 12, 12, 14, 15, 10, 11, 12,\n                          18, 22, 24, 3, 5, 5, 6, 7, 9))\n\n<span style=\"color: #008080;\">#view head of data frame\n<\/span>head(df)\n\n  team points\n1 to 8\n2 to 10\n3 to 12\n4 to 12\n5 to 14\n6 to 15<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>dplyr<\/strong>\u5305\u4e2d\u7684\u51fd\u6570\u6765\u5feb\u901f\u8ba1\u7b97\u6bcf\u652f\u7403\u961f\u7403\u5458\u5f97\u5206\u7684\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (dplyr)\n\n<span style=\"color: #008080;\">#calculate mean and sd of points by team\n<\/span>df_mean_std &lt;- df %&gt;%\n  group_by(team) %&gt;%\n  summarise_at(vars(points), list(mean=mean, sd=sd)) %&gt;% \n  as. <span style=\"color: #3366ff;\">data<\/span> . <span style=\"color: #3366ff;\">frame<\/span> ()\n\n<span style=\"color: #008080;\">#view results\n<\/span>df_mean_std\n\n  team mean sd\n1 A 11.833333 2.562551\n2 B 16.166667 6.013873\n3 C 5.833333 2.041241\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\">\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b<strong>ggplot2<\/strong>\u51fd\u6570\u6765\u53ef\u89c6\u5316\u6bcf\u652f\u7403\u961f\u7403\u5458\u5f97\u5206\u7684\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\uff1a<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">library<\/span> (ggplot2)\n\n<span style=\"color: #008080;\">#plot mean and standard deviation of points by team\n<\/span>ggplot(df_mean_std, aes(x=team, y=mean)) + \n  geom_errorbar(aes(ymin=mean-sd, ymax=mean+sd), width= <span style=\"color: #008000;\">.3<\/span> ) +\n  geom_point(size= <span style=\"color: #008000;\">2<\/span> )<\/strong><\/span> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-30752\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/signifie-td1.jpg\" alt=\"\u5728 ggplot2 \u4e2d\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\" width=\"462\" height=\"465\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p><span style=\"color: #000000;\">\u751f\u6210\u7684\u56fe\u8868\u663e\u793a\u4e86\u6bcf\u652f\u7403\u961f\u7403\u5458\u5f97\u5206\u7684\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5706\u5708\u4ee3\u8868\u5e73\u5747\u503c\uff0c\u6bcf\u4e2a\u5706\u5708\u4e0a\u65b9\u548c\u4e0b\u65b9\u7684\u6761\u5f62\u957f\u5ea6\u4ee3\u8868\u6807\u51c6\u5dee\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a <strong>geom_errorbar()<\/strong>\u51fd\u6570\u4e2d\u7684<strong>\u5bbd\u5ea6<\/strong>\u53c2\u6570\u6307\u5b9a\u8bef\u5dee\u7ebf\u7684\u5bbd\u5ea6\u3002\u8bf7\u968f\u610f\u66f4\u6539\u6b64\u503c\u4ee5\u8c03\u6574\u56fe\u4e2d\u8bef\u5dee\u7ebf\u7684\u5bbd\u5ea6\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 ggplot2 \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/ggplot\u56fe\u4f8b\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5411 ggplot2 \u7ed8\u56fe\u6dfb\u52a0\u56fe\u4f8b<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/ggplot-\u5b57\u4f53\u5927\u5c0f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u66f4\u6539ggplot2\u4e2d\u7684\u5b57\u4f53\u5927\u5c0f<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u5220\u9664-ggplot2-\u56fe\u4f8b\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5220\u9664ggplot2\u4e2d\u7684\u56fe\u4f8b<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u65cb\u8f6c\u8f74\u6807\u7b7eggplot2\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728ggplot2\u4e2d\u65cb\u8f6c\u8f74\u6807\u7b7e<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u901a\u5e38\uff0c\u60a8\u53ef\u80fd\u60f3\u5728 ggplot2 \u4e2d\u6309\u7ec4\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\u3002 \u5e78\u8fd0\u7684\u662f\uff0c\u4f7f\u7528 ggplot2 \u4e2d\u7684geom_p [&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-3786","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\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728 R \u4e2d\u7684 ggplot2 \u4e2d\u6309\u7ec4\u7ed8\u5236\u5e73\u5747\u503c\u548c\u6807\u51c6\u5dee\uff0c\u5305\u62ec\u4e00\u4e2a\u793a\u4f8b\u3002\" \/>\n<meta name=\"robots\" content=\"index, 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