这能满足你的需要吗?
df %>%
# calculate the value range for each year state
group_by(year) %>%
mutate(max.value = max(value)) %>%
ungroup() %>%
# add text for each year state (I came up with some random lines for illustration)
mutate(text = case_when(year == "2001" ~ "2001: launch of Wikipedia",
year == "2002" ~ "Brazil wins 2002 World Cup",
year == "2003" ~ "2003 saw SARS outbreak",
year == "2004" ~ "Olympics 2004 in Greece",
TRUE ~ "2005 - first YouTube upload")) %>%
ggplot(aes(x = ordering, y = value)) +
geom_col(aes(fill = group)) +
# add blank layer with maximum value so that the plot's overall range
# changes smoothly between states
geom_blank(aes(y = max.value)) +
# add text layer positioned in the middle, below visible range
geom_text(aes(y = max.value / 2, label = text),
x = 0, check_overlap = TRUE) +
# turn off clipping to show text layer
coord_flip(clip = "off") +
theme(axis.title = element_blank(),
axis.ticks = element_blank(),
axis.text = element_blank(),
plot.margin = unit(c(1, 1, 8, 1), "cm")) +
# (optional) increase state_length so that the text labels can be viewed longer
transition_states(year, transition_length = 2, state_length = 2) +
view_follow(fixed_x = TRUE)
(如果每个年份的文本字符串相同,则
geom_text
动画期间,层将保持完全静止。)
数据:
set.seed(123)
df <- data.frame(ordering = c(rep(1:3, 2), 3:1, rep(1:3, 2)),
year = factor(sort(rep(2001:2005, 3))),
value = round(runif(15, 0, 100)),
group = rep(letters[1:3], 5))