{"id":475,"date":"2023-07-29T19:13:06","date_gmt":"2023-07-29T19:13:06","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e4%bd%bf%e7%94%a8-ggplot2-%e5%9c%a8-r-%e4%b8%ad%e7%bb%98%e5%88%b6%e5%87%b9%e5%87%b8%e5%9b%be\/"},"modified":"2023-07-29T19:13:06","modified_gmt":"2023-07-29T19:13:06","slug":"%e4%bd%bf%e7%94%a8-ggplot2-%e5%9c%a8-r-%e4%b8%ad%e7%bb%98%e5%88%b6%e5%87%b9%e5%87%b8%e5%9b%be","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e4%bd%bf%e7%94%a8-ggplot2-%e5%9c%a8-r-%e4%b8%ad%e7%bb%98%e5%88%b6%e5%87%b9%e5%87%b8%e5%9b%be\/","title":{"rendered":"\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 r \u4e2d\u8f7b\u677e\u521b\u5efa\u6d6e\u96d5\u56fe"},"content":{"rendered":"

<\/p>\n

\n

\u51f9\u51f8\u56fe<\/strong>\u662f\u4e00\u79cd\u56fe\u8868\uff0c\u5b83\u663e\u793a\u4e0d\u540c\u7ec4\u968f\u65f6\u95f4\u7684\u6392\u540d\u800c\u4e0d\u662f\u7edd\u5bf9\u503c\uff0c\u4ee5\u5f3a\u8c03\u7ec4\u7684\u987a\u5e8f\u800c\u4e0d\u662f\u53d8\u5316\u91cf\u3002<\/span><\/p>\n

\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 R \u4e2d\u8f7b\u677e\u521b\u5efa\u51f9\u51f8\u56fe\u3002<\/span><\/p>\n

\u793a\u4f8b\uff1a\u521b\u5efa\u6d6e\u96d5\u56fe\u5f62<\/span><\/strong><\/h2>\n

\u8981\u5728 R \u4e2d\u521b\u5efa\u51f9\u51f8\u56fe\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u52a0\u8f7d\u4e24\u4e2a\u5305\uff1a dplyr<\/strong>\u548cggplot2<\/strong> \uff1a<\/span><\/p>\n

 library(ggplot2) #for creating bump chart<\/span>\nlibrary(dplyr) #for manipulating data<\/span><\/strong><\/pre>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e9b\u8981\u4f7f\u7528\u7684\u6570\u636e\uff1a<\/span><\/p>\n
 #set the seed to make this example reproducible<\/span>\nset.seed(10)\n\ndata <- data.frame(team = rep(LETTERS[1:5], each = 10),\n                   random_num = runif(50),\n                   day = rep(1:10, 5))\n\ndata <- data %>%\n  group_by(day) %>%\n  arrange(day, desc(random_num), team) %>% \n  mutate(rank = row_number()) %>%\n  A group()\n\nhead(data)\n\n# team random_num day rank          \n#1 C 0.865 1 1\n#2 B 0.652 1 2\n#3 D 0.536 1 3\n#4 A 0.507 1 4\n#5 E 0.275 1 5\n#6 C 0.615 2 1<\/strong><\/pre>\n
\u8be5\u6570\u636e\u5e93\u4ec5\u663e\u793a\u4e94\u652f\u4e0d\u540c\u7403\u961f\u5728 10 \u5929\u5185\u7684\u201c\u6392\u540d\u201d\u3002<\/span><\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 ggplot2 \u521b\u5efa\u8fdb\u5ea6\u56fe\u6765\u53ef\u89c6\u5316\u6bcf\u4e2a\u56e2\u961f\u5728\u6b64\u671f\u95f4\u6bcf\u5929\u7684\u6392\u540d\uff1a<\/span><\/p>\n
 ggplot(data, aes(x = day, y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  scale_y_reverse(breaks = 1:nrow(data))<\/strong><\/pre>\n
\u8fd9\u4e2a\u51f9\u51f8\u56fe\u4ee5\u60a8\u60f3\u8981\u7684\u683c\u5f0f\u663e\u793a\u6570\u636e\uff0c\u4f46\u5b83\u975e\u5e38\u4e11\u964b\u3002\u901a\u8fc7\u4e00\u4e9b\u7f8e\u5b66\u4e0a\u7684\u6539\u53d8\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u8fd9\u5e45\u753b\u53d8\u5f97\u66f4\u597d\u3002<\/span><\/p>\n
\u98ce\u683c\u5316\u51f9\u51f8\u56fe\u5f62<\/span><\/strong><\/h2>\n
\u4e3a\u4e86\u6539\u5584\u56fe\u8868\u7684\u5916\u89c2\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Dominik Koch<\/a>\u521b\u5efa\u7684\u4ee5\u4e0b\u4e3b\u9898\uff1a<\/span><\/p>\n
 my_theme <- function() {\n\n  # Colors\n  color.background = \"white\"\n  color.text = \"#22211d\"\n\n  # Begin construction of chart\n  theme_bw(base_size=15) +\n\n    # Format background colors\n    theme(panel.background = element_rect(fill=color.background,\n                                          color=color.background)) +\n    theme(plot.background = element_rect(fill=color.background,\n                                          color=color.background)) +\n    theme(panel.border = element_rect(color=color.background)) +\n    theme(strip.background = element_rect(fill=color.background,\n                                          color=color.background)) +\n\n    # Format the grid\n    theme(panel.grid.major.y = element_blank()) +\n    theme(panel.grid.minor.y = element_blank()) +\n    theme(axis.ticks = element_blank()) +\n\n    # Format the legend\n    theme(legend.position = \"none\") +\n\n    # Format title and axis labels\n    theme(plot.title = element_text(color=color.text, size=20, face = \"bold\")) +\n    theme(axis.title.x = element_text(size=14, color=\"black\", face = \"bold\")) +\n    theme(axis.title.y = element_text(size=14, color=\"black\", face = \"bold\",\n                                          vjust=1.25)) +\n    theme(axis.text.x = element_text(size=10, vjust=0.5, hjust=0.5,\n                                          color = color.text)) +\n    theme(axis.text.y = element_text(size=10, color = color.text)) +\n    theme(strip.text = element_text(face = \"bold\")) +\n\n    # Plot margins\n    theme(plot.margin = unit(c(0.35, 0.2, 0.3, 0.35), \"cm\"))\n}<\/strong><\/pre>\n
\u6211\u4eec\u5c06\u518d\u6b21\u521b\u5efa\u51f9\u51f8\u56fe\uff0c\u4f46\u8fd9\u6b21\u6211\u4eec\u5c06\u5220\u9664\u56fe\u4f8b\uff0c\u6dfb\u52a0\u4e00\u4e9b\u56fe\u8868\u6807\u7b7e\uff0c\u5e76\u4f7f\u7528\u4e0a\u9762\u4ee3\u7801\u4e2d\u5b9a\u4e49\u7684\u4e3b\u9898\uff1a<\/span><\/p>\n
 ggplot(data, aes(x = as.factor(day), y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  geom_point(color = \"#FFFFFF\", size = 1) +\n  scale_y_reverse(breaks = 1:nrow(data)) + \n  scale_x_discrete(breaks = 1:10) +\n  theme(legend.position = 'none') +\n  geom_text(data = data %>% filter(day == \"1\"),\n            aes(label = team, x = 0.5), hjust = .5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  geom_text(data = data %>% filter(day == \"10\"),\n            aes(label = team, x = 10.5), hjust = 0.5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  labs(x = 'Day', y = 'Rank', title = 'Team Ranking by Day') +\n  my_theme()<\/strong><\/pre>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u6dfb\u52a0scale_color_manual()<\/strong>\u53c2\u6570\u8f7b\u677e\u7a81\u51fa\u663e\u793a\u5176\u4e2d\u4e00\u884c\u3002\u4f8b\u5982\uff0c\u5728\u4e0b\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5c06 A \u961f\u7684\u7ebf\u8bbe\u4e3a\u7d2b\u8272\uff0c\u5c06\u6240\u6709\u5176\u4ed6\u7ebf\u8bbe\u4e3a\u7070\u8272\uff1a<\/span><\/p>\n
 ggplot(data, aes(x = as.factor(day), y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  geom_point(color = \"#FFFFFF\", size = 1) +\n  scale_y_reverse(breaks = 1:nrow(data)) + \n  scale_x_discrete(breaks = 1:10) +\n  theme(legend.position = 'none') +\n  geom_text(data = data %>% filter(day == \"1\"),\n            aes(label = team, x = 0.5), hjust = .5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  geom_text(data = data %>% filter(day == \"10\"),\n            aes(label = team, x = 10.5), hjust = 0.5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  labs(x = 'Day', y = 'Rank', title = 'Team Ranking by Day') +\n  my_theme() +\n  scale_color_manual(values = c('purple', 'grey', 'grey', 'grey', 'grey'))<\/span><\/strong><\/pre>\n
\u5982\u679c\u9700\u8981\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u7a81\u51fa\u663e\u793a\u591a\u884c\uff1a<\/span><\/p>\n
 ggplot(data, aes(x = as.factor(day), y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  geom_point(color = \"#FFFFFF\", size = 1) +\n  scale_y_reverse(breaks = 1:nrow(data)) + \n  scale_x_discrete(breaks = 1:10) +\n  theme(legend.position = 'none') +\n  geom_text(data = data %>% filter(day == \"1\"),\n            aes(label = team, x = 0.5), hjust = .5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  geom_text(data = data %>% filter(day == \"10\"),\n            aes(label = team, x = 10.5), hjust = 0.5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  labs(x = 'Day', y = 'Rank', title = 'Team Ranking by Day') +\n  my_theme() +\n  scale_color_manual(values = c('purple', 'steelblue', 'grey', 'grey', 'grey'))<\/span><\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"
\u51f9\u51f8\u56fe\u662f\u4e00\u79cd\u56fe\u8868\uff0c\u5b83\u663e\u793a\u4e0d\u540c\u7ec4\u968f\u65f6\u95f4\u7684\u6392\u540d\u800c\u4e0d\u662f\u7edd\u5bf9\u503c\uff0c\u4ee5\u5f3a\u8c03\u7ec4\u7684\u987a\u5e8f\u800c\u4e0d\u662f\u53d8\u5316\u91cf\u3002 \u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528 gg […]<\/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-475","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 R \u4e2d\u8f7b\u677e\u521b\u5efa\u51f9\u51f8\u56fe - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 R \u4e2d\u8f7b\u677e\u521b\u5efa\u51f9\u51f8\u56fe\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\/\u4f7f\u7528-ggplot2-\u5728-r-\u4e2d\u7ed8\u5236\u51f9\u51f8\u56fe\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u4f7f\u7528 ggplot2 \u5728 R \u4e2d\u8f7b\u677e\u521b\u5efa\u51f9\u51f8\u56fe - 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