{"id":472,"date":"2023-07-29T19:13:06","date_gmt":"2023-07-29T19:13:06","guid":{"rendered":"https:\/\/statorials.org\/ja\/ggplot2%e3%82%92%e4%bd%bf%e7%94%a8%e3%81%97%e3%81%9fr%e3%81%ae%e3%83%8f%e3%82%99%e3%83%b3%e3%83%95%e3%82%9a%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88\/"},"modified":"2023-07-29T19:13:06","modified_gmt":"2023-07-29T19:13:06","slug":"ggplot2%e3%82%92%e4%bd%bf%e7%94%a8%e3%81%97%e3%81%9fr%e3%81%ae%e3%83%8f%e3%82%99%e3%83%b3%e3%83%95%e3%82%9a%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/ggplot2%e3%82%92%e4%bd%bf%e7%94%a8%e3%81%97%e3%81%9fr%e3%81%ae%e3%83%8f%e3%82%99%e3%83%b3%e3%83%95%e3%82%9a%e3%83%95%e3%82%9a%e3%83%ad%e3%83%83%e3%83%88\/","title":{"rendered":"Ggplot2 \u3092\u4f7f\u7528\u3057\u3066 r \u3067\u30ec\u30ea\u30fc\u30d5 \u30d7\u30ed\u30c3\u30c8\u3092\u7c21\u5358\u306b\u4f5c\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u30d0\u30f3\u30d7 \u30c1\u30e3\u30fc\u30c8\u306f\u3001<\/strong>\u5909\u5316\u91cf\u3067\u306f\u306a\u304f\u30b0\u30eb\u30fc\u30d7\u306e\u9806\u5e8f\u3092\u5f37\u8abf\u3059\u308b\u305f\u3081\u306b\u3001\u7d76\u5bfe\u5024\u3067\u306f\u306a\u304f\u6642\u9593\u306e\u7d4c\u904e\u306b\u4f34\u3046\u3055\u307e\u3056\u307e\u306a\u30b0\u30eb\u30fc\u30d7\u306e\u30e9\u30f3\u30ad\u30f3\u30b0\u3092\u793a\u3059\u30c1\u30e3\u30fc\u30c8\u306e\u4e00\u7a2e\u3067\u3059\u3002<\/span><\/p>\n

\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001ggplot2 \u3092\u4f7f\u7528\u3057\u3066 R \u3067\u30d0\u30f3\u30d7 \u30d7\u30ed\u30c3\u30c8\u3092\u7c21\u5358\u306b\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n

\u4f8b: \u30ec\u30ea\u30fc\u30d5\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u4f5c\u6210<\/span><\/strong><\/h2>\n

R \u3067\u30d0\u30f3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001\u307e\u305adplyr<\/strong>\u3068ggplot2<\/strong>\u3068\u3044\u3046 2 \u3064\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/span><\/p>\n

 library(ggplot2) #for creating bump chart<\/span>\nlibrary(dplyr) #for manipulating data<\/span><\/strong><\/pre>\n
\u6b21\u306b\u3001\u64cd\u4f5c\u3059\u308b\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/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
\u3053\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306f\u300110 \u65e5\u9593\u306b\u308f\u305f\u308b 5 \u3064\u306e\u7570\u306a\u308b\u30c1\u30fc\u30e0\u306e\u300c\u30e9\u30f3\u30ad\u30f3\u30b0\u300d\u3092\u5358\u7d14\u306b\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n
 ggplot2 \u3092\u4f7f\u7528\u3057\u3066\u9032\u884c\u72b6\u6cc1\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3057\u3001\u3053\u306e\u671f\u9593\u306e\u6bce\u65e5\u306e\u5404\u30c1\u30fc\u30e0\u306e\u30e9\u30f3\u30ad\u30f3\u30b0\u3092\u8996\u899a\u5316\u3067\u304d\u307e\u3059\u3002<\/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
\u3053\u306e\u30d0\u30f3\u30d7 \u30c1\u30e3\u30fc\u30c8\u306b\u306f\u5e0c\u671b\u306e\u5f62\u5f0f\u3067\u30c7\u30fc\u30bf\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u304c\u3001\u304b\u306a\u308a\u898b\u82e6\u3057\u3044\u3067\u3059\u3002\u3044\u304f\u3064\u304b\u306e\u7f8e\u7684\u5909\u66f4\u3092\u52a0\u3048\u308b\u3053\u3068\u3067\u3001\u3053\u306e\u7d75\u3092\u3055\u3089\u306b\u826f\u304f\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u30d0\u30f3\u30d7\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u3092\u69d8\u5f0f\u5316\u3059\u308b<\/span><\/strong><\/h2>\n
\u30b0\u30e9\u30d5\u306e\u5916\u89b3\u3092\u6539\u5584\u3059\u308b\u306b\u306f\u3001 Dominik Koch<\/a>\u306b\u3088\u3063\u3066\u4f5c\u6210\u3055\u308c\u305f\u6b21\u306e\u30c6\u30fc\u30de\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/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
\u30d0\u30f3\u30d7 \u30c1\u30e3\u30fc\u30c8\u3092\u518d\u5ea6\u4f5c\u6210\u3057\u307e\u3059\u304c\u3001\u4eca\u56de\u306f\u51e1\u4f8b\u3092\u524a\u9664\u3057\u3001\u3044\u304f\u3064\u304b\u306e\u30c1\u30e3\u30fc\u30c8 \u30e9\u30d9\u30eb\u3092\u8ffd\u52a0\u3057\u3001\u4e0a\u8a18\u306e\u30b3\u30fc\u30c9\u3067\u5b9a\u7fa9\u3055\u308c\u305f\u30c6\u30fc\u30de\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/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
\u307e\u305f\u3001 scale_color_manual()<\/strong>\u5f15\u6570\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3067\u3001\u884c\u306e 1 \u3064\u3092\u7c21\u5358\u306b\u5f37\u8abf\u8868\u793a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u6b21\u306e\u30b3\u30fc\u30c9\u3067\u306f\u3001\u30c1\u30fc\u30e0 A \u306e\u884c\u3092\u7d2b\u306b\u3057\u3001\u4ed6\u306e\u3059\u3079\u3066\u306e\u884c\u3092\u7070\u8272\u306b\u3057\u307e\u3059\u3002<\/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
\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u3001\u8907\u6570\u306e\u884c\u3092\u5f37\u8abf\u8868\u793a\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/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":"
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