[英]How to create segmented graphs in ggplot2 with legend?
我想創建一個分段圖(如前圖和后圖,包括 t = 10 處的垂直線,以指示變化t
指經過的時間, x
指 0 表示預實施,1 表示post-implementation 和count_visit_triage\\\\d
是我想在 y 軸上繪制的計數數據。
這是我的 r 代碼。 我將多個geom_smooth
拼湊成同一個圖形,每種顏色代表來自triage1
、 triage2
等的值。因此,我無法獲得圖例。 我的問題是(1)我們如何簡化這段代碼,以便將圖例包含在圖中?
ggplot(df, aes(x = t, y = count_visit_triage1)) +
geom_smooth(data = subset(df, x == 0), aes(x = t, y = count_visit_triage1), colour = "blue", se = F) +
geom_smooth(data = subset(df, x == 1), aes(x = t, y = count_visit_triage1), colour = "blue", se = F) +
geom_smooth(data = subset(df, x == 0), aes(x = t, y = count_visit_triage2), colour = "orange", se = F) +
geom_smooth(data = subset(df, x == 1), aes(x = t, y = count_visit_triage2), colour = "orange", se = F) +
geom_smooth(data = subset(df, x == 0), aes(x = t, y = count_visit_triage3), colour = "green", se = F) +
geom_smooth(data = subset(df, x == 1), aes(x = t, y = count_visit_triage3), colour = "green", se = F) +
geom_smooth(data = subset(df, x == 0), aes(x = t, y = count_visit_triage4), colour = "red", se = F) +
geom_smooth(data = subset(df, x == 1), aes(x = t, y = count_visit_triage4), colour = "red", se = F) +
geom_vline(xintercept = 10, linetype = "dashed") +
theme_bw()
數據:
df <- structure(list(t = 1:20, x = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), count_visit_triage1 = c(42L,
55L, 61L, 52L, 58L, 38L, 47L, 46L, 66L, 44L, 24L, 17L, 40L, 25L,
18L, 23L, 34L, 35L, 22L, 23L), count_visit_triage2 = c(175L,
241L, 196L, 213L, 189L, 163L, 181L, 166L, 229L, 224L, 153L, 139L,
125L, 145L, 134L, 115L, 152L, 153L, 136L, 154L), count_visit_triage3 = c(120L,
114L, 106L, 88L, 108L, 103L, 103L, 93L, 80L, 81L, 88L, 94L, 94L,
77L, 91L, 100L, 93L, 70L, 79L, 77L), count_visit_triage4 = c(3L,
0L, 0L, 1L, 2L, 2L, 0L, 4L, 4L, 2L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,
0L, 1L, 2L)), row.names = c(NA, -20L), class = c("tbl_df", "tbl",
"data.frame"))
你可以試試這個:
library(tidyverse)
df %>%
pivot_longer(cols = -c(t,x),
names_to = "visit",
values_to = "count") %>%
ggplot() +
geom_line(aes(x = t,
y = count,
color = visit,
group = interaction(x,visit))) +
geom_vline(xintercept = 10, linetype = "dashed") +
scale_color_manual(name = "legend",
values = 1:4,
labels = c("Visit Triage 1",
"Visit Triage 2",
"Visit Triage 3",
"Visit Triage 4")) +
theme_bw()
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