[英]Overlapping two graphs with different y-axis in ggplot
我想用不同的 y 軸比例重疊兩個圖。 我使用stat_count()
和geom_line
。 但是, geom_line
沒有出現在 plot 上。
我使用以下代碼。
library(ggplot2)
ggplot(X1, aes(x = Week)) +
stat_count() +
scale_x_continuous(breaks = seq(from = 0, to = 21, by = 1))+
scale_y_continuous(
name = expression("Count"),
limits = c(0, 20),
sec.axis = sec_axis(~ . * 15000 / 20, name = "Views"))+
geom_line(aes(y = Views), inherit.aes = T)
這是我的數據框X1
的可重現示例。
structure(list(Views = c(1749, 241, 309, 326, 237, 276, 2281,
1573, 10790, 1089, 1732, 3263, 2601, 2638, 2929, 3767, 2947,
65, 161), Week = c(1, 2, 2, 2, 3, 3, 4, 5, 5, 5, 6, 8, 8, 8,
8, 9, 10, 10, 10)), row.names = c(NA, -19L), class = c("tbl_df",
"tbl", "data.frame"))
你能幫我把geom_line
放在 plot 上嗎?
您還必須調整 y 值,使其適合主要 y 軸的限制,即在geom_line
內應用用於次要 y 軸的變換。 嘗試這個:
X1 <- structure(list(Views = c(1749, 241, 309, 326, 237, 276, 2281,
1573, 10790, 1089, 1732, 3263, 2601, 2638, 2929, 3767, 2947,
65, 161), Week = c(1, 2, 2, 2, 3, 3, 4, 5, 5, 5, 6, 8, 8, 8,
8, 9, 10, 10, 10)), row.names = c(NA, -19L), class = c("tbl_df",
"tbl", "data.frame"))
library(ggplot2)
ggplot(X1, aes(x = Week)) +
stat_count() +
scale_x_continuous(breaks = seq(from = 0, to = 21, by = 1))+
scale_y_continuous(
name = expression("Count"),
limits = c(0, 20),
sec.axis = sec_axis(~ . * 15000 / 20, name = "Views"))+
geom_line(aes(y = Views / 15000 * 20), inherit.aes = T)
由代表 package (v0.3.0) 於 2020 年 5 月 21 日創建
我還總結了 dataframe 以改進第 5 周峰值的解釋並繪制了單獨的層
x1 <- structure(list(Views = c(1749, 241, 309, 326, 237, 276, 2281,
1573, 10790, 1089, 1732, 3263, 2601, 2638, 2929, 3767, 2947,
65, 161), Week = c(1, 2, 2, 2, 3, 3, 4, 5, 5, 5, 6, 8, 8, 8,
8, 9, 10, 10, 10)), row.names = c(NA, -19L), class = c("tbl_df",
"tbl", "data.frame"))
x2 <- x1 %>%
group_by(Week) %>%
summarise(Views = sum(Views))
library(ggplot2)
ggplot() +
geom_line(data = x2, mapping = aes(x = Week, y = Views/15000 * 20))+
geom_bar(data = x1, mapping = aes(x = Week), stat = 'count')+
scale_x_continuous(breaks = seq(from = 0, to = 21, by = 1))+
scale_y_continuous( name = expression("Count"),
ylim.prim <- c(0, 20),
ylim.sec <- c(0, 15000),
sec.axis = sec_axis(~ . * 15000 / 20, name = "Views"))
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