使用 grid.arrange 在 ggplot2 中精确定位多个图
Exact Positioning of multiple plots in ggplot2 with grid.arrange
我正在尝试创建一个具有相同 x 轴但不同 y 轴的多图，因为我有两个具有不同范围的组的值。因为我想控制轴的值（y 轴分别从 2.000.000 到 4.000.000 和从 250.000 到 500.000），我不接受 facet_grid 和 scales = "free".
所以我尝试创建两个地块（名为 "plots.treat" 和 "plot.control"）并将它们与 grid.arrange 和 arrangeGrob 组合。我的问题是，我不知道如何控制两个图的确切位置，以便两个 y 轴都位于一条垂直线上。因此，在下面的示例中，第二个图的 y 轴需要定位到更靠右的位置。
代码如下：
# Load Packages
library(ggplot2)
library(grid)
library(gridExtra)
# Create Data
data.treat <- data.frame(seq(2005.5, 2015.5, 1), rep("SIFI", 11),
c(2230773, 2287162, 2326435, 2553602, 2829325, 3372657, 3512437,
3533884, 3519026, 3566553, 3527153))
colnames(data.treat) <- c("Jahr", "treatment",
"Aggregierte Depositen (in Tausend US$)")
data.control <- data.frame(seq(2005.5, 2015.5, 1), rep("Nicht-SIFI", 11),
c(324582, 345245, 364592, 360006, 363677, 384674, 369007,
343893, 333370, 318409, 313853))
colnames(data.control) <- c("Jahr", "treatment",
"Aggregierte Depositen (in Tausend US$)")
# Create Plot for data.treat
plot.treat <- ggplot() +
geom_line(data = data.treat,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
size = 1,
linetype = "dashed") +
geom_point(data = data.treat,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
fill = "white",
size = 2,
shape = 24) +
scale_x_continuous(breaks = seq(2005, 2015.5, 1),
minor_breaks = seq(2005, 2015.5, 0.5),
limits = c(2005, 2015.8),
expand = c(0.01, 0.01)) +
scale_y_continuous(breaks = seq(2000000, 4000000, 500000),
minor_breaks = seq(2000000, 4000000, 250000),
labels = c("2.000.000", "2.500.000", "3.000.000",
"3.500.000", "4.000.000"),
limits = c(2000000, 4000000),
expand = c(0, 0.01)) +
theme(text = element_text(family = "Times"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.line.x = element_line(color="black", size = 0.6),
axis.line.y = element_line(color="black", size = 0.6),
legend.position = "none") +
geom_segment(aes(x = c(2008.7068),
y = c(2000000),
xend = c(2008.7068),
yend = c(3750000)),
linetype = "dotted") +
annotate(geom = "text", x = 2008.7068, y = 3875000, label = "Lehman\nBrothers + TARP",
colour = "black", size = 3, family = "Times") +
geom_segment(aes(x = c(2010.5507),
y = c(2000000),
xend = c(2010.5507),
yend = c(3750000)),
linetype = "dotted") +
annotate(geom = "text", x = 2010.5507, y = 3875000, label = "Dodd-Frank-\nAct",
colour = "black", size = 3, family = "Times") +
geom_rect(aes(xmin = 2007.6027, xmax = 2009.5, ymin = -Inf, ymax = Inf),
fill="dark grey", alpha = 0.2)
# Create Plot for data.control
plot.control <- ggplot() +
geom_line(data = data.control,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
size = 1,
linetype = "solid") +
geom_point(data = data.control,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
fill = "white",
size = 2,
shape = 21) +
scale_x_continuous(breaks = seq(2005, 2015.5, 1), # x-Achse
minor_breaks = seq(2005, 2015.5, 0.5),
limits = c(2005, 2015.8),
expand = c(0.01, 0.01)) +
scale_y_continuous(breaks = seq(250000, 500000, 50000),
minor_breaks = seq(250000, 500000, 25000),
labels = c("250.000", "300.000", "350.000", "400.000",
"450.000", "500.000"),
limits = c(250000, 500000),
expand = c(0, 0.01)) +
theme(text = element_text(family = "Times"),
axis.title.x = element_blank(), # Achse
axis.title.y = element_blank(), # Achse
axis.line.x = element_line(color="black", size = 0.6),
axis.line.y = element_line(color="black", size = 0.6),
legend.position = "none") +
geom_segment(aes(x = c(2008.7068),
y = c(250000),
xend = c(2008.7068),
yend = c(468750)),
linetype = "dotted") +
annotate(geom = "text", x = 2008.7068, y = 484375, label = "Lehman\nBrothers + TARP",
colour = "black", size = 3, family = "Times") +
geom_segment(aes(x = c(2010.5507),
y = c(250000),
xend = c(2010.5507),
yend = c(468750)),
linetype = "dotted") +
annotate(geom = "text", x = 2010.5507, y = 484375, label = "Dodd-Frank-\nAct",
colour = "black", size = 3, family = "Times") +
geom_rect(aes(xmin = 2007.6027, xmax = 2009.5, ymin = -Inf, ymax = Inf),
fill="dark grey", alpha = 0.2)
# Combine both Plots with grid.arrange
grid.arrange(arrangeGrob(plot.treat, plot.control,
ncol = 1,
left = textGrob("Aggregierte Depositen (in Tausend US$)",
rot = 90,
vjust = 1,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold")),
bottom = textGrob("Jahr",
vjust = 0.1,
hjust = 0.2,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold"))))
做：
install.packages("cowplot")
但不要 library(cowplot) 因为它会弄乱你的主题作品。
然后，执行：
grid.arrange(
arrangeGrob(cowplot::plot_grid(plot.treat, plot.control, align = "v", ncol=1),
ncol = 1,
left = textGrob("Aggregierte Depositen (in Tausend US$)",
rot = 90,
vjust = 1,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold")),
bottom = textGrob("Jahr",
vjust = 0.1,
hjust = 0.2,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold"))))
我正在尝试创建一个具有相同 x 轴但不同 y 轴的多图，因为我有两个具有不同范围的组的值。因为我想控制轴的值（y 轴分别从 2.000.000 到 4.000.000 和从 250.000 到 500.000），我不接受 facet_grid 和 scales = "free".
所以我尝试创建两个地块（名为 "plots.treat" 和 "plot.control"）并将它们与 grid.arrange 和 arrangeGrob 组合。我的问题是，我不知道如何控制两个图的确切位置，以便两个 y 轴都位于一条垂直线上。因此，在下面的示例中，第二个图的 y 轴需要定位到更靠右的位置。
代码如下：
# Load Packages
library(ggplot2)
library(grid)
library(gridExtra)
# Create Data
data.treat <- data.frame(seq(2005.5, 2015.5, 1), rep("SIFI", 11),
c(2230773, 2287162, 2326435, 2553602, 2829325, 3372657, 3512437,
3533884, 3519026, 3566553, 3527153))
colnames(data.treat) <- c("Jahr", "treatment",
"Aggregierte Depositen (in Tausend US$)")
data.control <- data.frame(seq(2005.5, 2015.5, 1), rep("Nicht-SIFI", 11),
c(324582, 345245, 364592, 360006, 363677, 384674, 369007,
343893, 333370, 318409, 313853))
colnames(data.control) <- c("Jahr", "treatment",
"Aggregierte Depositen (in Tausend US$)")
# Create Plot for data.treat
plot.treat <- ggplot() +
geom_line(data = data.treat,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
size = 1,
linetype = "dashed") +
geom_point(data = data.treat,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
fill = "white",
size = 2,
shape = 24) +
scale_x_continuous(breaks = seq(2005, 2015.5, 1),
minor_breaks = seq(2005, 2015.5, 0.5),
limits = c(2005, 2015.8),
expand = c(0.01, 0.01)) +
scale_y_continuous(breaks = seq(2000000, 4000000, 500000),
minor_breaks = seq(2000000, 4000000, 250000),
labels = c("2.000.000", "2.500.000", "3.000.000",
"3.500.000", "4.000.000"),
limits = c(2000000, 4000000),
expand = c(0, 0.01)) +
theme(text = element_text(family = "Times"),
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.line.x = element_line(color="black", size = 0.6),
axis.line.y = element_line(color="black", size = 0.6),
legend.position = "none") +
geom_segment(aes(x = c(2008.7068),
y = c(2000000),
xend = c(2008.7068),
yend = c(3750000)),
linetype = "dotted") +
annotate(geom = "text", x = 2008.7068, y = 3875000, label = "Lehman\nBrothers + TARP",
colour = "black", size = 3, family = "Times") +
geom_segment(aes(x = c(2010.5507),
y = c(2000000),
xend = c(2010.5507),
yend = c(3750000)),
linetype = "dotted") +
annotate(geom = "text", x = 2010.5507, y = 3875000, label = "Dodd-Frank-\nAct",
colour = "black", size = 3, family = "Times") +
geom_rect(aes(xmin = 2007.6027, xmax = 2009.5, ymin = -Inf, ymax = Inf),
fill="dark grey", alpha = 0.2)
# Create Plot for data.control
plot.control <- ggplot() +
geom_line(data = data.control,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
size = 1,
linetype = "solid") +
geom_point(data = data.control,
aes(x = `Jahr`,
y = `Aggregierte Depositen (in Tausend US$)`),
fill = "white",
size = 2,
shape = 21) +
scale_x_continuous(breaks = seq(2005, 2015.5, 1), # x-Achse
minor_breaks = seq(2005, 2015.5, 0.5),
limits = c(2005, 2015.8),
expand = c(0.01, 0.01)) +
scale_y_continuous(breaks = seq(250000, 500000, 50000),
minor_breaks = seq(250000, 500000, 25000),
labels = c("250.000", "300.000", "350.000", "400.000",
"450.000", "500.000"),
limits = c(250000, 500000),
expand = c(0, 0.01)) +
theme(text = element_text(family = "Times"),
axis.title.x = element_blank(), # Achse
axis.title.y = element_blank(), # Achse
axis.line.x = element_line(color="black", size = 0.6),
axis.line.y = element_line(color="black", size = 0.6),
legend.position = "none") +
geom_segment(aes(x = c(2008.7068),
y = c(250000),
xend = c(2008.7068),
yend = c(468750)),
linetype = "dotted") +
annotate(geom = "text", x = 2008.7068, y = 484375, label = "Lehman\nBrothers + TARP",
colour = "black", size = 3, family = "Times") +
geom_segment(aes(x = c(2010.5507),
y = c(250000),
xend = c(2010.5507),
yend = c(468750)),
linetype = "dotted") +
annotate(geom = "text", x = 2010.5507, y = 484375, label = "Dodd-Frank-\nAct",
colour = "black", size = 3, family = "Times") +
geom_rect(aes(xmin = 2007.6027, xmax = 2009.5, ymin = -Inf, ymax = Inf),
fill="dark grey", alpha = 0.2)
# Combine both Plots with grid.arrange
grid.arrange(arrangeGrob(plot.treat, plot.control,
ncol = 1,
left = textGrob("Aggregierte Depositen (in Tausend US$)",
rot = 90,
vjust = 1,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold")),
bottom = textGrob("Jahr",
vjust = 0.1,
hjust = 0.2,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold"))))
做：
install.packages("cowplot")
但不要 library(cowplot) 因为它会弄乱你的主题作品。
然后，执行：
grid.arrange(
arrangeGrob(cowplot::plot_grid(plot.treat, plot.control, align = "v", ncol=1),
ncol = 1,
left = textGrob("Aggregierte Depositen (in Tausend US$)",
rot = 90,
vjust = 1,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold")),
bottom = textGrob("Jahr",
vjust = 0.1,
hjust = 0.2,
gp = gpar(fontfamily = "Times",
size = 12,
colout = "black",
fontface = "bold"))))