我正在尝试用ggplot中的三个面板制作一个人物。我想在两个面板相邻的地方删除轴标题和文本(请参见下面的示例),并将一个图例放置在空的构面中。
面板A和B应该具有相同的y轴,并且所有三个面板都具有相同的x轴(A和B基本上是完整数据集和一个子集的图,而C表示百分比变化)。我在这里看到了许多有关stackoverflow的有用帖子,但没有一个可以确切解释我想知道的内容。
我尝试过:1)用facet_wrap()
将面板绘制为小平面,使用element_blank()
控制轴限制(如here所述),然后使用this功能替换图例:
# function to replace legend
library(lemon)
shift_legend2 <- function(p) {
# ...
# to grob
gp <- ggplotGrob(p)
facet.panels <- grep("^panel", gp[["layout"]][["name"]])
empty.facet.panels <- sapply(facet.panels, function(i) "zeroGrob" %in% class(gp[["grobs"]][[i]]))
empty.facet.panels <- facet.panels[empty.facet.panels]
# establish name of empty panels
empty.facet.panels <- gp[["layout"]][empty.facet.panels, ]
names <- empty.facet.panels$name
# example of names:
#[1] "panel-3-2" "panel-3-3"
# now we just need a simple call to reposition the legend
reposition_legend(p, 'center', panel=names)
}
# add dummy data for element_blank()
dat <- dat %>%
mutate(y_min = ifelse(figure == "pct_change", 0.8, 0),
y_max = ifelse(figure == "pct_change", 1.6, 150))
# plot
plot1 <- ggplot(dat, aes(x = year, y = values)) +
geom_line(aes(col = class)) +
theme_cowplot(12) +
facet_wrap(~figure, nrow = 2, scales = "free_y") +
geom_blank(aes(y = y_min)) +
geom_blank(aes(y = y_max))
# rearrange legend
shift_legend2(plot1)
2)分别绘制面板并稍后安排
a <- ggplot(dat[dat$figure == "d_complete",], aes(x = year, y = values)) +
geom_line(aes(col = class)) +
theme_cowplot(12) +
theme(legend.position = "none",
axis.title.x = element_blank(),
axis.text.x = element_blank())
b <- ggplot(dat[dat$figure == "d_subset",], aes(x = year, y = values)) +
geom_line(aes(col = class)) +
theme_cowplot(12) +
theme(legend.position = "none",
axis.title.y = element_blank(),
axis.text.y = element_blank()) +
ylim(c(0, 120)
c <- ggplot(dat[dat$figure == "pct_change",], aes(x = year, y = values)) +
geom_line(aes(col = class)) +
theme_cowplot(12) +
theme(legend.position = "none")
plot2 <- plot_grid(a, b, c, ncol=2, align = "hv", axis = "bl")
现在问题是:
感谢您的帮助!
数据:
dput(dat)
structure(list(class = c("AUN", "AUN", "AUN", "AUN", "AUN", "AUN",
"AUN", "AUN", "AUN", "CHE", "CHE", "CHE", "CHE", "CHE", "CHE",
"CHE", "CHE", "CHE"), year = c(0L, 0L, 0L, 5L, 5L, 5L, 10L, 10L,
10L, 0L, 0L, 0L, 5L, 5L, 5L, 10L, 10L, 10L), figure = c("d_subset",
"d_complete", "pct_change", "d_subset", "d_complete", "pct_change",
"d_subset", "d_complete", "pct_change", "d_subset", "d_complete",
"pct_change", "d_subset", "d_complete", "pct_change", "d_subset",
"d_complete", "pct_change"), values = c(73, 99, 1, 84, 118, 1.19191919191919,
80, 96, 0.96969696969697, 12, 16, 1, 19, 27, 1.6875, 16, 20,
1.25), y_min = c(0, 0, 0.8, 0, 0, 0.8, 0, 0, 0.8, 0, 0, 0.8,
0, 0, 0.8, 0, 0, 0.8), y_max = c(150, 150, 1.6, 150, 150, 1.6,
150, 150, 1.6, 150, 150, 1.6, 150, 150, 1.6, 150, 150, 1.6)), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -18L), groups = structure(list(
class = c("AUN", "CHE"), .rows = list(1:9, 10:18)), row.names = c(NA,
-2L), class = c("tbl_df", "tbl", "data.frame"), .drop = TRUE))
我认为您真的很接近第二个选项。您只需要修改a,b和c图的plot.margin
以减小可怕的空白的大小,然后使用ggdraw
将图例添加为grob。这是生成所需图的完整代码。
library(tidyverse)
library(cowplot)
# You original plots with the corresponding plot.margin
# Set the bottom margin as 0 to decrease the vertical gap between a and c plots
a <- ggplot(dat[dat$figure == "d_complete",], aes(x = year, y = values)) +
geom_line(aes(col = class)) +
theme_cowplot(12) +
theme(legend.position = "none",
axis.title.x = element_blank(),
axis.text.x = element_blank(),
# modify the plot's margins: top, right, bottom, left
plot.margin = unit(c(0.2,0,0,0), "cm"))
# Use same margins as plot a
b <- ggplot(dat[dat$figure == "d_subset",], aes(x = year, y = values)) +
geom_line(aes(col = class)) +
theme_cowplot(12) +
theme(legend.position = "none",
axis.title.y = element_blank(),
axis.text.y = element_blank(),
# modify the plot's margins: top, right, bottom, left
plot.margin = unit(c(0.2,0,0,0), "cm")) +
ylim(c(0, 120))
# Set top margin as -0.7 to decrease the vertical gap (between a and c)
c <- ggplot(dat[dat$figure == "pct_change",], aes(x = year, y = values)) +
geom_line(aes(col = class)) +
theme_cowplot(12) +
theme(legend.position = "none",
# modify the plot's margins: top, right, bottom, left
plot.margin = unit(c(-0.7,0,0.2,0), "cm"))
# Construct the c plot with legend
temp_plot <- dat %>%
filter(figure == "pct_change") %>%
ggplot(aes(x = year, y = values)) +
geom_line(aes(col = class))
# get the plot's legend and transform it to a grob
legend <- as_grob(get_legend(temp_plot))
# Put a, b and c plots together
plot2 <- plot_grid(a, b, c, ncol=2, align = "hv", axis = "bl")
# Add the legend
plot3 <- ggdraw(plot2) +
# set x and y position to draw the legend, usually requires playing with values between -1 and 1
draw_grob(legend, x = 0.25, y = 0.05, width = 1, height = 0.5)