r - ggplot 区域外部（右侧）的 ggrepel 标签

Question

library(tidyverse)
library(ggrepel)
df <- structure(list(Fruit = c("Yellow Pear", "Yellow Pear", "Yellow Pear", 
"Yellow Pear", "Yellow Pear", "Yellow Pear", "Yellow Pear", "Yellow Pear", 
"Yellow Pear", "Yellow Pear", "Yellow Pear", "Yellow Pear", "Tropical Banana", 
"Tropical Banana", "Tropical Banana", "Tropical Banana", "Tropical Banana", 
"Tropical Banana", "Tropical Banana", "Tropical Banana", "Tropical Banana", 
"Tropical Banana", "Tropical Banana", "Tropical Banana", "Farm Fresh Strawberries", 
"Farm Fresh Strawberries", "Farm Fresh Strawberries", "Farm Fresh Strawberries", 
"Farm Fresh Strawberries", "Farm Fresh Strawberries", "Farm Fresh Strawberries", 
"Farm Fresh Strawberries", "Farm Fresh Strawberries", "Farm Fresh Strawberries", 
"Farm Fresh Strawberries", "Farm Fresh Strawberries", "Melon Mango", 
"Melon Mango", "Melon Mango", "Melon Mango", "Melon Mango", "Melon Mango", 
"Melon Mango", "Melon Mango", "Melon Mango", "Melon Mango", "Melon Mango", 
"Melon Mango", "Dragonfruit", "Dragonfruit", "Dragonfruit", "Dragonfruit", 
"Dragonfruit", "Dragonfruit", "Dragonfruit", "Dragonfruit", "Dragonfruit", 
"Dragonfruit", "Dragonfruit", "Dragonfruit", "Peaches", "Peaches", 
"Peaches", "Peaches", "Peaches", "Peaches", "Peaches", "Peaches", 
"Peaches", "Peaches", "Peaches", "Peaches", "Blueberry", "Blueberry", 
"Blueberry", "Blueberry", "Blueberry", "Blueberry", "Blueberry", 
"Blueberry", "Blueberry", "Blueberry", "Blueberry", "Blueberry", 
"Blueberry GS", "Blueberry GS", "Blueberry GS", "Blueberry GS", 
"Blueberry GS", "Blueberry GS", "Blueberry GS", "Blueberry GS", 
"Blueberry GS", "Blueberry GS", "Blueberry GS", "Blueberry GS", 
"Red Delicious Apples", "Red Delicious Apples", "Red Delicious Apples", 
"Red Delicious Apples", "Red Delicious Apples", "Red Delicious Apples", 
"Red Delicious Apples", "Red Delicious Apples", "Red Delicious Apples", 
"Red Delicious Apples", "Red Delicious Apples", "Red Delicious Apples", 
"Grapes", "Grapes", "Grapes", "Grapes", "Grapes", "Grapes", "Grapes", 
"Grapes", "Grapes", "Grapes", "Grapes", "Grapes", "Cherry", "Cherry", 
"Cherry", "Cherry", "Cherry", "Cherry", "Cherry", "Cherry", "Cherry", 
"Cherry", "Cherry", "Cherry", "Green Apples", "Green Apples", 
"Green Apples", "Green Apples", "Green Apples", "Green Apples", 
"Green Apples", "Green Apples", "Green Apples", "Green Apples", 
"Green Apples", "Green Apples", "Yellow Apples", "Yellow Apples", 
"Yellow Apples", "Yellow Apples", "Yellow Apples", "Yellow Apples", 
"Yellow Apples", "Yellow Apples", "Yellow Apples", "Yellow Apples", 
"Yellow Apples", "Yellow Apples", "Perfect Punchy Pineapple", 
"Perfect Punchy Pineapple", "Perfect Punchy Pineapple", "Perfect Punchy Pineapple", 
"Perfect Punchy Pineapple", "Perfect Punchy Pineapple", "Perfect Punchy Pineapple", 
"Perfect Punchy Pineapple", "Perfect Punchy Pineapple", "Perfect Punchy Pineapple", 
"Perfect Punchy Pineapple", "Perfect Punchy Pineapple", "Watermelon", 
"Watermelon", "Watermelon", "Watermelon", "Watermelon", "Watermelon", 
"Watermelon", "Watermelon", "Watermelon", "Watermelon", "Watermelon", 
"Watermelon", "Red Raspberry", "Red Raspberry", "Red Raspberry", 
"Red Raspberry", "Red Raspberry", "Red Raspberry", "Red Raspberry", 
"Red Raspberry", "Red Raspberry", "Red Raspberry", "Red Raspberry", 
"Red Raspberry", "Blackberry", "Blackberry", "Blackberry", "Blackberry", 
"Blackberry", "Blackberry", "Blackberry", "Blackberry", "Blackberry", 
"Blackberry", "Blackberry", "Blackberry", "Avocado", "Avocado", 
"Avocado", "Avocado", "Avocado", "Avocado", "Avocado", "Avocado", 
"Avocado", "Avocado", "Avocado", "Avocado", "Cherimoya Custard Apple", 
"Cherimoya Custard Apple", "Cherimoya Custard Apple", "Cherimoya Custard Apple", 
"Cherimoya Custard Apple", "Cherimoya Custard Apple", "Cherimoya Custard Apple", 
"Cherimoya Custard Apple", "Cherimoya Custard Apple", "Cherimoya Custard Apple", 
"Cherimoya Custard Apple", "Cherimoya Custard Apple", "Nectarine", 
"Nectarine", "Nectarine", "Nectarine", "Nectarine", "Nectarine", 
"Nectarine", "Nectarine", "Nectarine", "Nectarine", "Nectarine", 
"Nectarine", "Plum Prune Pineapple", "Plum Prune Pineapple", 
"Plum Prune Pineapple", "Plum Prune Pineapple", "Plum Prune Pineapple", 
"Plum Prune Pineapple", "Plum Prune Pineapple", "Plum Prune Pineapple", 
"Plum Prune Pineapple", "Plum Prune Pineapple", "Plum Prune Pineapple", 
"Plum Prune Pineapple", "Pomegranate", "Pomegranate", "Pomegranate", 
"Pomegranate", "Pomegranate", "Pomegranate", "Pomegranate", "Pomegranate", 
"Pomegranate", "Pomegranate", "Pomegranate", "Pomegranate", "Surinam Cherry", 
"Surinam Cherry", "Surinam Cherry", "Surinam Cherry", "Surinam Cherry", 
"Surinam Cherry", "Surinam Cherry", "Surinam Cherry", "Surinam Cherry", 
"Surinam Cherry", "Surinam Cherry", "Surinam Cherry"), Date = structure(c(17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956, 17622, 17652, 17683, 17713, 
17744, 17775, 17805, 17836, 17866, 17897, 17928, 17956, 17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956, 17622, 17652, 17683, 17713, 
17744, 17775, 17805, 17836, 17866, 17897, 17928, 17956, 17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956, 17622, 17652, 17683, 17713, 
17744, 17775, 17805, 17836, 17866, 17897, 17928, 17956, 17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956, 17622, 17652, 17683, 17713, 
17744, 17775, 17805, 17836, 17866, 17897, 17928, 17956, 17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956, 17622, 17652, 17683, 17713, 
17744, 17775, 17805, 17836, 17866, 17897, 17928, 17956, 17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956, 17622, 17652, 17683, 17713, 
17744, 17775, 17805, 17836, 17866, 17897, 17928, 17956, 17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956, 17622, 17652, 17683, 17713, 
17744, 17775, 17805, 17836, 17866, 17897, 17928, 17956, 17622, 
17652, 17683, 17713, 17744, 17775, 17805, 17836, 17866, 17897, 
17928, 17956, 17622, 17652, 17683, 17713, 17744, 17775, 17805, 
17836, 17866, 17897, 17928, 17956), class = "Date"), Value = c(0.00488, 
0.00603, 0.00477, 0.00589, 0.00814, 0.00642, 0.00679, 0.00609, 
0.00403, 0.00909, 0.00727, 0.0048, 0.02366, 0.01599, 0.01527, 
0.0164, 0.01521, 0.01566, 0.01381, 0.01941, 0.0196, 0.02411, 
0.02158, 0.02307, 0.02161, 0.02419, 0.02393, 0.01991, 0.0218, 
0.02036, 0.01666, 0.02389, 0.01842, 0.02932, 0.01998, 0.02315, 
0.04053, 0.04161, 0.04045, 0.04937, 0.03595, 0.03852, 0.04895, 
0.03786, 0.03136, 0.04497, 0.03678, 0.04276, 0.00175, 0.00243, 
0.00474, 0.00502, 0.00665, 0.00457, 0.00847, 0.00494, 0.00271, 
0.00265, 0.00602, 0.00451, 0.03749, 0.0341, 0.03823, 0.0432, 
0.04814, 0.03773, 0.03829, 0.0383, 0.03803, 0.04674, 0.03968, 
0.04482, 0.25824, 0.2541, 0.26486, 0.32075, 0.26146, 0.27273, 
0.28191, 0.23684, 0.22193, 0.29765, 0.30052, 0.31282, 0.0131, 
0.02674, 0.01137, 0.01965, 0.02185, 0.02844, 0.02298, 0.02145, 
0.02187, 0.03242, 0.02213, 0.02128, 0.05535, 0.0588, 0.05653, 
0.05804, 0.04997, 0.05085, 0.05835, 0.05721, 0.05204, 0.06247, 
0.06009, 0.06425, 0.275, 0.5, 0.4, 0.375, 0.45, 0.425, 0.275, 
0.275, 0.225, 0.3, 0.325, 0.35, 0.25047, 0.26969, 0.23524, 0.21364, 
0.23965, 0.21167, 0.2466, 0.2575, 0.22213, 0.23955, 0.22099, 
0.20157, 0.01455, 0.01958, 0.0194, 0.01931, 0.01916, 0.01901, 
0.02117, 0.02436, 0.03012, 0.02367, 0.0211, 0.01618, 0.03707, 
0.03481, 0.03357, 0.03637, 0.04391, 0.03939, 0.03922, 0.05372, 
0.03559, 0.05253, 0.04771, 0.04948, 0.09733, 0.12215, 0.11575, 
0.10066, 0.11662, 0.09571, 0.09593, 0.11425, 0.09891, 0.13107, 
0.11913, 0.12753, 0.16986, 0.17615, 0.21867, 0.18883, 0.18898, 
0.22762, 0.135, 0.17317, 0.16945, 0.14858, 0.19451, 0.11659, 
0.09441, 0.15135, 0.11804, 0.11181, 0.12594, 0.10972, 0.11313, 
0.08373, 0.10206, 0.10558, 0.08821, 0.10629, 0.01472, 0.01466, 
0.01521, 0.01733, 0.01718, 0.01489, 0.01457, 0.0174, 0.01009, 
0.01713, 0.01636, 0.01198, 0.0687, 0.08581, 0.08247, 0.08407, 
0.08265, 0.0785, 0.06906, 0.08113, 0.07246, 0.07717, 0.07311, 
0.07862, 0.04762, 0.02301, 0.01534, 0.0291, 0.03063, 0.02757, 
0.0229, 0.03049, 0.01524, 0.01524, 0.01979, 0.02435, 0.3038, 
0.32317, 0.34615, 0.28571, 0.30423, 0.35196, 0.34341, 0.28165, 
0.24615, 0.26303, 0.3, 0.28471, 0.20833, 0.21667, 0.28926, 0.29032, 
0.31496, 0.18182, 0.31343, 0.26277, 0.23188, 0.26056, 0.24658, 
0.21711, 0.24265, 0.38571, 0.22667, 0.24837, 0.29221, 0.27848, 
0.2622, 0.28824, 0.26901, 0.29444, 0.2459, 0.3, 0.25843, 0.2809, 
0.18436, 0.3352, 0.26816, 0.22222, 0.25556, 0.24309, 0.22099, 
0.24309, 0.21547, 0.20879), Violation = c(FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 
TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 
FALSE, FALSE)), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, 
-276L)) %>% 
  mutate(label = if_else(Date == max(Date), Fruit, NA_character_))

df
#> # A tibble: 276 x 5
#>    Fruit       Date         Value Violation label
#>    <chr>       <date>       <dbl> <lgl>     <chr>
#>  1 Yellow Pear 2018-04-01 0.00488 FALSE     NA   
#>  2 Yellow Pear 2018-05-01 0.00603 FALSE     NA   
#>  3 Yellow Pear 2018-06-01 0.00477 FALSE     NA   
#>  4 Yellow Pear 2018-07-01 0.00589 FALSE     NA   
#>  5 Yellow Pear 2018-08-01 0.00814 FALSE     NA   
#>  6 Yellow Pear 2018-09-01 0.00642 FALSE     NA   
#>  7 Yellow Pear 2018-10-01 0.00679 FALSE     NA   
#>  8 Yellow Pear 2018-11-01 0.00609 FALSE     NA   
#>  9 Yellow Pear 2018-12-01 0.00403 FALSE     NA   
#> 10 Yellow Pear 2019-01-01 0.00909 FALSE     NA   
#> # ... with 266 more rows

抱歉上面的巨大数据框代码块。这就是我正在使用的。请将其复制粘贴到 R Studio 中以开始使用。

现在已经完成了，我正试图让ggrepel包标记红线，如下所示。我一直在旋转旋钮（参数），ggrepel但没有得到任何漂亮的东西。我希望标签不碍事，并到达图表的右侧，以相同的顺序排列线条。我们可以把标签也变成红色吗？

什么ggrepel论据能让我到达那里？或者有没有更好的方法来用普通的ggplot做到这一点？

ggplot(df, aes(Date, Value, group = Fruit)) + 
  geom_line(aes(color = Violation)) +
  scale_color_manual(values = c("grey30", "red")) + 
  scale_x_date(breaks = "month", date_labels = "%b") +
  scale_y_continuous(breaks = seq(0, 0.7, by = 0.05)) + 
  coord_cartesian(ylim = c(-0.25, 0.7)) +
  labs(x = NULL, y = "Value\n") +
  theme_minimal() + 
  theme(panel.grid = element_blank(),
        axis.ticks.x = element_line(),
        #axis.line.x = element_blank(),
        axis.line.y = element_line(), 
        axis.ticks.y = element_line()) + 
  geom_text_repel(data = df %>% filter(Violation == TRUE),
                  aes(label = label), 
                  direction = "y", 
                  hjust = 0, 
                  segment.size = 0.2,
                  nudge_x = 1,
                  na.rm = TRUE)

score 7 · Accepted Answer

ggplot(df, aes(Date, Value, group = Fruit)) + 
  geom_line(aes(color = Violation)) +
  scale_color_manual(values = c("grey30", "red")) + 
  scale_x_date(breaks = "month", date_labels = "%b") +
  scale_y_continuous(breaks = seq(0, 0.7, by = 0.05)) + 
  coord_cartesian(ylim = c(-0.25, 0.7), clip = "off") +
  labs(x = NULL, y = "Value\n") +
  theme_minimal() + 
  theme(panel.grid = element_blank(),
        axis.ticks.x = element_line(),
        #axis.line.x = element_blank(),
        axis.line.y = element_line(), 
        axis.ticks.y = element_line(), 
        legend.position = c(0.8, 0.8),
        plot.margin = unit(c(0.1, 5, 0.1, 0.1), "cm")) + 
  geom_text_repel(data = df %>% filter(Violation == TRUE),
                  aes(label = label), 
                  direction = "y", 
                  hjust = 0, 
                  segment.size = 0.2,
                  na.rm = TRUE,
                  xlim = as.Date(c("2019-04-01", "2019-10-01")),
                  ylim = c(0, .2))

score 1 · Accepted Answer

虽然您可以使它与一起工作ggrepel，但我可能会尝试制作一个辅助y轴并将标签作为自定义刻度添加到它。这应该产生相同的结果。它会像这样：

val <- c(0.023070, 0.049185, 0.075300, 0.101415, 0.127530)
lbl <- c("Tropical Banana", "Peaches", "Red Delicious Apples", "Yellow Apples", "Perfect Punchy Pineapple")

ggplot(df, aes(Date, Value, group = Fruit)) + 
  geom_line(aes(color = Violation)) +
  scale_color_manual(values = c("grey30", "red")) + 
  scale_x_date(breaks = "month", date_labels = "%b") +
  scale_y_continuous(breaks = seq(0, 0.7, by = 0.05)) + 
  coord_cartesian(ylim = c(-0.25, 0.7)) +
  labs(x = NULL, y = "Value\n") +
  theme_minimal() + 
  theme(panel.grid = element_blank(),
        axis.ticks.x = element_line(),
        #axis.line.x = element_blank(),
        axis.line.y = element_line(), 
        axis.ticks.y = element_line()) + 
  scale_y_continuous(sec.axis = sec_axis(trans=~.*1, name="", labels=lbl, breaks=val))

r - ggplot 区域外部（右侧）的 ggrepel 标签

2 回答 2

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