D. *_*der 3 r time-series ggplot2 geom-vline
首先,让我们创建一些假数据:
d <- c("2019-01-01", "2019-01-02", "2019-01-03", "2019-01-04", "2019-01-03", "2019-04-06", "2019-04-03", "2019-05-07", "2019-05-03", "2019-05-03", "2019-05-03", "2019-05-03", "2019-06-03", "2019-06-03", "2019-06-03", "2019-06-03", "2019-06-03", "2019-06-03", "2019-06-03", "2019-07-03", "2019-07-03", "2019-07-04", "2019-08-03", "2019-09-05", "2019-09-03", "2019-09-03", "2019-09-06", "2019-09-08", "2019-10-03", "2019-11-03", "2019-11-03", "2019-11-03", "2019-11-03", "2019-11-03", "2019-11-03", "2019-12-03", "2019-12-03")
df <- data.frame(dates=as.Date(d))
Run Code Online (Sandbox Code Playgroud)
现在,我创建一个时间序列图:
# aggregate data
df_plot <- df %>% mutate(month = lubridate::floor_date(dates, "month")) %>%
group_by(month) %>% summarise(count = n())
# plot data
ggplot(aes(x = month, y = count), data = df_plot) + geom_line() +
scale_x_date() +
geom_vline(xintercept = as.numeric(as.Date("2019-01-30")), linetype=4)
Run Code Online (Sandbox Code Playgroud)
随着geom_vline(xintercept = as.numeric(as.Date("2019-01-30")), linetype=4)我可以标记某个日期以垂直线。是否还有可能用彩色框或其他东西标记时间范围(假设从 2019-01-30 到 2019-02-15)?
geom_rect与ymin = -Inf和 一起使用ymax = Inf。
xmin <- as.Date("2019-01-30")
xmax <- as.Date("2019-02-15")
ggplot(df_plot, aes(month, count)) +
geom_line() +
scale_x_date() +
geom_rect(aes(xmin = xmin, xmax = xmax, ymin = -Inf, ymax = Inf,
alpha = I(.1), fill = I("lightblue"))) +
annotate("text", label = "Some text", x = xmin, y = Inf, angle = 90,
hjust = 1.1, vjust = -1)
Run Code Online (Sandbox Code Playgroud)
(截图后继续)
另一种可能性是创建一个数据框regimes来保存边界和标签。这与之前的代码类似,但如果我们必须添加更多的机制,只需将行添加到regimes.
regimes <- data.frame(xmin = as.Date("2019-01-30"),
xmax = as.Date("2019-02-15"),
label = "Some text")
ggplot(regimes) +
geom_line(aes(month, count), df_plot) +
scale_x_date() +
geom_rect(aes(xmin = xmin, xmax = xmax, ymin = -Inf, ymax = Inf),
alpha = I(.5), fill = I("lightblue")) +
geom_text(aes(x = xmin, y = Inf, label = label), angle = 90,
hjust = 1.1, vjust = -1)
Run Code Online (Sandbox Code Playgroud)