CodePudding user response：
library(tidyverse)
data <- structure(list(Date = structure(c(18779, 18809, 18840, 18871,
18901, 18932, 18779, 18809, 18840, 18871, 18901, 18932, 18779,
18809, 18840, 18871, 18901, 18932), class = "Date"), Key = c("Category 1",
"Category 1", "Category 1", "Category 1", "Category 1", "Category 1",
"Category 2", "Category 2", "Category 2", "Category 2", "Category 2",
"Category 2", "Category 3", "Category 3", "Category 3", "Category 3",
"Category 3", "Category 3"), Value = c(2.8, 3, 2, 2.7, 2.7, 2.8,
1, 2, -1.2, 0.3, 0.6, 0.8, 4, 3.7, 4.4, 4.4, 4.2, 4.2)), row.names = c(NA,
-18L), class = c("tbl_df", "tbl", "data.frame"))
fvjust = function(data) data %>%
mutate(vjust = ifelse(Value>mean(Value),2, -2))
df = data %>% group_by(Key) %>%
group_modify(~fvjust(.x))
df %>% ggplot(aes(Date, Value, col = Key))
geom_line(size = 2)
facet_wrap(~Key, scales = 'free_y', nrow = 3)
guides(col='none', linetype='none')
geom_text(aes(label = paste0(sprintf('%0.1f', round(Value, digits = 2)), '%')), size = 5,
vjust = df$vjust)
