将两个ggplots转换为一个

我面临一些问题,从单独的数据框中有一个图而不是两个图.我在下面解释了一下情况.数据框看起来像:

df1 <- structure(list(value = c(9921L, 21583L, 11822L, 1054L, 13832L, 
16238L, 13838L, 20801L, 20204L, 13881L, 19935L, 13829L, 14012L, 
20654L, 13862L, 21191L, 3777L, 15552L, 13817L, 20428L, 16850L, 
21003L, 11072L, 22477L, 12321L, 12856L, 16295L, 11431L, 13469L, 
14680L, 10552L, 15272L, 9132L, 9374L, 15123L, 22754L, 10363L, 
12160L, 13729L, 11151L, 11451L, 11272L, 14900L, 14688L, 17133L, 
7315L, 7268L, 6262L, 72769L, 7650L, 16389L, 13027L, 7134L, 6465L, 
6490L, 15183L, 7201L, 14070L, 11210L, 10146L), limit = structure(c(1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("1Mbit", 
"5Mbit", "10Mbit"), class = "factor")), class = "data.frame", row.names = c(NA, 
-60L))

df2 <- structure(list(value = c(37262L, 39881L, 30914L, 32976L, 28657L, 
39364L, 39915L, 30115L, 29326L, 36199L, 37976L, 36694L, 33718L, 
36945L, 33182L, 35866L, 34188L, 33426L, 32804L, 34986L, 29355L, 
30470L, 37420L, 26465L, 28975L, 29144L, 27491L, 30507L, 27146L, 
26257L, 31231L, 30521L, 30370L, 31683L, 33774L, 35654L, 34172L, 
38554L, 38030L, 33439L, 34817L, 31278L, 33579L, 31175L, 31001L, 
29908L, 31658L, 33381L, 28709L, 34794L, 34154L, 30157L, 33362L, 
30363L, 31097L, 29116L, 27703L, 31229L, 30196L, 30077L), limit = structure(c(3L, 
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("180ms", 
"190ms", "200ms"), class = "factor")), class = "data.frame", row.names = c(NA, 
-60L))

从上面的数据框中,我有这些图:

limit_bw <- factor(df1$limit, levels = c("1Mbit", "5Mbit", "10Mbit"))
limit_lt <- factor(df2$limit, levels = c("200ms", "190ms", "180ms"))

(按顺序使用它们)

bw_line <- ggplot(df1, aes(x = limit_bw, y = value, group=1)) + geom_quantile(method = "loess")
lt_line <- ggplot(df2, aes(x = limit_lt, y = value, group=1)) + geom_quantile(method = "loess")

(我实际上有很多数据,所以我用过geom_quantile())

还有两个使用网格的图rbind/cbind (现在不是我想要的):

grid.draw(rbind(ggplotGrob(ggplot(df1, aes(limit_bw,value,group=1)) + geom_quantile(method = "loess") + labs(title = "value vs bw",x="bandwidth",y="value")),
ggplotGrob(ggplot(df2, aes(limit_lt, value, group = 1)) + geom_quantile(method="loess") + labs(title="value vs latency", x="latency", y="value")), size = "last"))

我正在寻求你的帮助将它们合并成一个图(在同一图表中放置bw_line并lt_line在一起),在顶部和底部显示两个x轴,或者在底部的两个轴提及它们的标题.请注意,value每个数据集的范围不同.但是,我需要为每个数据帧显示两个y轴用于不同的范围,或者可以是一个y轴,显示来自两个数据帧的所有值(最小值到最大值).

事实上,我看到一个非常接近的解决方案在这里从@RichieCotton但无法弄清楚我的数据,因为我有一些factors,而不是整数值.

我非常感谢你的帮助.谢谢.

我认为通过首先将数据合并到一个数据框中来解决这个问题可能是最容易的.在这里,我组合x值并将数据映射到那些.然后我们照常映射,添加辅助y轴.

library(tidyverse); library(forcats)

# Create shared x axis and combine data frames
limit_combo <- data.frame(level_num = 1:3, 
                          level = as_factor(c("1Mbit\n200ms",
                                              "5Mbit\n190ms",
                                              "10Mbit\n180ms"))) 
df1b <- df1 %>%
  mutate(level_num = limit %>% as.numeric) %>%
  left_join(limit_combo)
df2b <- df2 %>%
  mutate(level_num = 4 - (limit %>% as.numeric)) %>%
  left_join(limit_combo)
df3 <- bind_rows(df1b, df2b, .id = "plot") %>%
  mutate(plot = if_else(plot == "1", "bw", "lt"))

# plot with adjusted y values and second axis for reference
ggplot(df3, aes(x = level, 
                y = value * if_else(plot == "lt", 0.44, 1), 
                group=plot, color = plot)) + 
  geom_quantile(method = "loess") +
  scale_y_continuous("value", sec.axis = sec_axis(~./0.44)) +
  theme(axis.text.y.left  = element_text(color = "#F8766D"),
        axis.text.y.right = element_text(color = "#00BFC4"))