{"id":482,"date":"2023-07-29T18:32:36","date_gmt":"2023-07-29T18:32:36","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e6%a3%92%e6%a3%92%e7%b3%96-r-%e5%9b%be%e5%bd%a2\/"},"modified":"2023-07-29T18:32:36","modified_gmt":"2023-07-29T18:32:36","slug":"%e6%a3%92%e6%a3%92%e7%b3%96-r-%e5%9b%be%e5%bd%a2","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e6%a3%92%e6%a3%92%e7%b3%96-r-%e5%9b%be%e5%bd%a2\/","title":{"rendered":"\u5982\u4f55\u5728 r \u4e2d\u521b\u5efa\u68d2\u68d2\u7cd6\u56fe\u8868"},"content":{"rendered":"

<\/p>\n

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\u4e0e\u6761\u5f62\u56fe\u7c7b\u4f3c\uff0c\u68d2\u68d2\u7cd6\u56fe<\/strong>\u5bf9\u4e8e\u6bd4\u8f83\u5206\u7c7b\u53d8\u91cf\u7684\u5b9a\u91cf\u503c\u975e\u5e38\u6709\u7528\u3002\u68d2\u68d2\u7cd6\u56fe\u8868\u4e0d\u4f7f\u7528\u6761\u5f62\u56fe\uff0c\u800c\u662f\u4f7f\u7528\u672b\u5c3e\u5e26\u6709\u5706\u5708\u7684\u7ebf\u6765\u8868\u793a\u5b9a\u91cf\u503c\u3002<\/span><\/p>\n

\u68d2\u68d2\u7cd6\u56fe\u8868\u662f\u6bd4\u8f83\u591a\u4e2a\u7c7b\u522b\u7684\u597d\u65b9\u6cd5\uff0c\u540c\u65f6\u6700\u5927\u9650\u5ea6\u5730\u51cf\u5c11\u56fe\u8868\u4e0a\u7684\u989c\u8272\u6570\u91cf\uff0c\u5e76\u5c06\u8bfb\u8005\u7684\u6ce8\u610f\u529b\u96c6\u4e2d\u5728\u56fe\u8868\u4e0a\u7684\u5b9e\u9645\u503c\u4e0a\uff0c\u800c\u4e0d\u662f\u56fe\u8868\u4e0a\u7684\u7ebf\u6761\u6216\u5176\u4ed6\u56fe\u5f62\u4e0a\u3002\u8bb8\u591a\u4eba\u8fd8\u8ba4\u4e3a\u68d2\u68d2\u7cd6\u677f\u7f8e\u89c2\u3002<\/span><\/p>\n

\u5728\u672c\u6559\u7a0b\u4e2d\uff0c\u6211\u4eec\u5c06\u5b8c\u6210\u521b\u5efa\u4ee5\u4e0b\u68d2\u68d2\u7cd6\u56fe\u8868\u6240\u9700\u7684\u6b65\u9aa4\uff1a<\/span><\/p>\n

\u793a\u4f8b\uff1aR \u4e2d\u7684\u68d2\u68d2\u7cd6\u56fe\u8868<\/strong><\/span><\/h2>\n

\u5bf9\u4e8e\u672c\u793a\u4f8b\uff0c\u6211\u4eec\u5c06\u4f7f\u7528mtcars<\/strong>\u5185\u7f6e R \u6570\u636e\u96c6\uff1a<\/span><\/p>\n

 #view first six rows of mtcars\n<\/em><\/span>head(mtcars)\n<\/strong><\/pre>\n
<\/h3>\n
\u57fa\u672c\u68d2\u68d2\u7cd6\u56fe\u8868<\/strong><\/span><\/h2>\n
\u4e0b\u9762\u7684\u4ee3\u7801\u8bf4\u660e\u4e86\u5982\u4f55 <\/strong>\u521b\u5efa\u4e00\u4e2a\u68d2\u68d2\u7cd6\u56fe\u8868\u6765\u6bd4\u8f83\u6570\u636e\u96c6\u4e2d 32 \u8f86\u6c7d\u8f66\u6bcf\u8f86\u7684mpg<\/em> \uff08\u82f1\u91cc\/\u52a0\u4ed1\uff09\u3002<\/span><\/p>\n
\u6c7d\u8f66\u540d\u79f0\u5728\u6570\u636e\u96c6\u7684\u884c\u540d\u79f0\u4e2d\u5b9a\u4e49\uff0c\u56e0\u6b64\u6211\u4eec\u9996\u5148\u5728\u6570\u636e\u96c6\u4e2d\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u8fd9\u4e9b\u884c\u540d\u79f0\u7684\u65b0\u5217\u3002<\/span><\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u52a0\u8f7dggplot2<\/strong>\u5e93\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u5b83\u6765\u521b\u5efa\u68d2\u68d2\u7cd6\u56fe\u8868\u3002<\/span><\/p>\n
\u5728 ggplot2 \u4e2d\uff0c\u6211\u4eec\u4f7f\u7528geom_segment<\/strong>\u5728\u7ed8\u56fe\u4e0a\u521b\u5efa\u7ebf\u6761\u3002\u6211\u4eec\u5c06\u5f00\u59cb\u548c\u7ed3\u675f x \u503c\u5206\u522b\u8bbe\u7f6e\u4e3a0<\/em>\u548cmpg<\/em> \u3002\u6211\u4eec\u5c06\u5f00\u59cb\u548c\u7ed3\u675f y \u503c\u8bbe\u7f6e\u4e3achar<\/em> \uff1a<\/span><\/p>\n
 #create new column for car names<\/span>\nmtcars$car <- row.names(mtcars)\n\n#load ggplot2<\/em> library<\/span>\nlibrary(ggplot2)\n\n#create lollipop chart<\/span>\nggplot(mtcars, aes(x = mpg, y = car)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n
\u6dfb\u52a0\u6807\u7b7e<\/strong><\/span><\/h2>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528label<\/strong>\u548cgeom_text<\/strong>\u53c2\u6570\u5411\u56fe\u8868\u6dfb\u52a0\u6807\u7b7e\uff1a<\/span><\/p>\n
 ggplot(mtcars, aes(x = mpg, y = car, label = mpg<\/span> )) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point() +\n        geom_text(nudge_x = 1.5)<\/span><\/strong><\/pre>\n
\u6216\u8005\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u6807\u7b7e\u653e\u5728\u5706\u5708\u5185\uff0c\u800c\u4e0d\u662f\u5c06\u6807\u7b7e\u653e\u5728\u6bcf\u884c\u7684\u672b\u5c3e\uff0c\u65b9\u6cd5\u662f\u589e\u5927\u5706\u5708\u5e76\u5c06\u6807\u7b7e\u7684\u5b57\u4f53\u989c\u8272\u66f4\u6539\u4e3a\u767d\u8272\uff1a<\/span><\/p>\n
 ggplot(mtcars, aes(x = mpg, y = car, label = mpg)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point( size = 7<\/span> ) +\n        geom_text( color = 'white', size = 2<\/span> )<\/strong><\/pre>\n
\u5c06\u503c\u4e0e\u5e73\u5747\u503c\u8fdb\u884c\u6bd4\u8f83<\/strong><\/span><\/h2>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u68d2\u68d2\u7cd6\u56fe\u8868\u5c06\u503c\u4e0e\u7279\u5b9a\u6570\u5b57\u8fdb\u884c\u6bd4\u8f83\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u6570\u636e\u96c6\u4e2d\u627e\u5230\u5e73\u5747mpg<\/em>\u503c\uff0c\u7136\u540e\u5c06\u6bcf\u8f86\u8f66\u7684mpg<\/em>\u4e0e\u5e73\u5747\u503c\u8fdb\u884c\u6bd4\u8f83\u3002<\/span><\/p>\n
\u4ee5\u4e0b\u4ee3\u7801\u4f7f\u7528dplyr<\/strong>\u5e93\u67e5\u627e\u5e73\u5747mpg<\/em>\u503c\uff0c\u7136\u540e\u6309 mpg<\/em>\u5347\u5e8f\u6392\u5217\u6c7d\u8f66\uff1a<\/span><\/p>\n
 #load library dplyr\n<\/em><\/span>library(dplyr)\n\n#find mean value of mpg<\/em> and arrange cars in order by mpg<\/em> descending<\/span>\nmtcars_new <- mtcars %>%\n                arrange(mpg) %>%\n                mutate(mean_mpg = mean(mpg),\n                       flag = ifelse(mpg - mean_mpg > 0, TRUE, FALSE),\n                       car = factor(car, levels = .$car))\n\n#view first six rows of mtcars_new\n<\/em>head(mtcars_new)\n<\/span><\/span><\/strong><\/pre>\n
\u7136\u540e\uff0c\u4ee5\u4e0b\u4ee3\u7801\u901a\u8fc7\u5c06\u5706\u5708\u7684\u989c\u8272\u8bbe\u7f6e\u4e3a\u7b49\u4e8e\u6807\u5fd7<\/em>\u503c\uff08\u5728\u672c\u4f8b\u4e2d\u4e3a TRUE \u6216 FALSE\uff09\u5e76\u5c06\u6bcf\u8f86\u8f66\u7684\u8d77\u59cb x \u503c\u8bbe\u7f6e\u4e3a\u7b49\u4e8e\u5e73\u5747mpg<\/em>\u503c\u6765\u521b\u5efa\u68d2\u68d2\u7cd6\u56fe\u8868\u3002<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag<\/span> )) +\n        geom_segment(aes( x = mean_mpg<\/span> , y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n
\u4f7f\u7528\u8fd9\u79cd\u7c7b\u578b\u7684\u8c03\u8272\u677f\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u786e\u5b9a\u54ea\u4e9b\u6c7d\u8f66\u7684\u6bcf\u52a0\u4ed1\u82f1\u91cc\u6570<\/em>\u4f4e\u4e8e\u548c\u9ad8\u4e8e\u6570\u636e\u96c6\u5e73\u5747\u503c\u3002<\/span><\/p>\n
\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cR \u4f7f\u7528\u84dd\u8272\u548c\u7ea2\u8272\u4f5c\u4e3a\u5176\u56fe\u8868\u989c\u8272\u3002\u4f46\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528scale_color_manual<\/strong>\u53c2\u6570\u6765\u4f7f\u7528\u4efb\u4f55\u6211\u4eec\u60f3\u8981\u7684\u989c\u8272\uff1a<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car)) +\n        geom_point() +\n        scale_color_manual(values = c(\"purple\", \"blue\"))<\/span><\/strong><\/pre>\n
\u6539\u53d8\u56fe\u8868\u7f8e\u89c2<\/span><\/span><\/strong><\/h2>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528ggplot2<\/strong>\u7684\u5e7f\u6cdb\u529f\u80fd\u6765\u8fdb\u4e00\u6b65\u4fee\u6539\u56fe\u8868\u7684\u7f8e\u89c2\u5e76\u521b\u5efa\u5177\u6709\u4e13\u4e1a\u5916\u89c2\u7684\u6700\u7ec8\u4ea7\u54c1\uff1a<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car), color = \"grey\") +\n        geom_point() +\n        annotate(\"text\", x = 27, y = 20, label = \"Above Average\", color = \"#00BFC4\", size = 3, hjust = -0.1, vjust = .75) +\n        annotate(\"text\", x = 27, y = 17, label = \"Below Average\", color = \"#F8766D\", size = 3, hjust = -0.1, vjust = -.1) +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 19, yend = 23),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#00BFC4\") +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 18, yend = 14),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#F8766D\") +\n        labs(title = \"Miles per Gallon by Car\") +\n        theme_minimal() +\n        theme(axis.title = element_blank(),\n              panel.grid.minor = element_blank(),\n              legend.position = \"none\",\n              text = element_text(family = \"Georgia\"),\n              axis.text.y = element_text(size = 8),\n              plot.title = element_text(size = 20, margin = margin(b = 10), hjust = 0),\n              plot.subtitle = element_text(size = 12, color = \"darkslategrey\", margin = margin(b = 25, l = -25)),\n              plot.caption = element_text(size = 8, margin = margin(t = 10), color = \"grey70\", hjust = 0))<\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"
\u4e0e\u6761\u5f62\u56fe\u7c7b\u4f3c\uff0c\u68d2\u68d2\u7cd6\u56fe\u5bf9\u4e8e\u6bd4\u8f83\u5206\u7c7b\u53d8\u91cf\u7684\u5b9a\u91cf\u503c\u975e\u5e38\u6709\u7528\u3002\u68d2\u68d2\u7cd6\u56fe\u8868\u4e0d\u4f7f\u7528\u6761\u5f62\u56fe\uff0c\u800c\u662f\u4f7f\u7528\u672b\u5c3e\u5e26\u6709\u5706\u5708\u7684\u7ebf\u6765\u8868\u793a […]<\/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-482","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u68d2\u68d2\u7cd6\u56fe\u8868 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 R \u4e2d\u8f7b\u677e\u521b\u5efa\u68d2\u68d2\u7cd6\u56fe\u8868\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\/\u68d2\u68d2\u7cd6-r-\u56fe\u5f62\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 R \u4e2d\u521b\u5efa\u68d2\u68d2\u7cd6\u56fe\u8868 - 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