我无法为R ggplot2中的多个图正确对齐水平y轴标题。我有一个主图,它是使用ggdendro程序包创建的带有叶子标签的树状图,并且在主图下方有多个颜色条,左侧带有标题。如果使用grid.arrange将图放置在同一页面上,则可以在图之间获得良好的垂直间距,但是无法始终一致地将色条的y轴标题右对齐。如果使用plot_grid,则可以一致地将y轴标题右对齐,但是在绘制之间没有合适的垂直间距很困难。任何帮助将不胜感激!
更新:两种建议的解决方案效果很好,因此我接受第一个解决方案。使用egg包中的ggarrange
和plot_grid
而不是align = "v"
使用align = "hv"
都解决了我的问题。
创建主图和颜色条:
require(ggplot2)
require(gridExtra)
require(cowplot)
require(ggdendro)
hc = hclust(dist(USArrests), "ave")
df = data.frame(cluster = cutree(hc, 6),
states = factor(hc$labels, levels = hc$labels[hc$order]))
p1_dendro = dendro_data(hc)
p1 = ggdendrogram(hc) +
coord_cartesian(xlim = c(-1, nrow(df) + 1), ylim = c( -1, max(p1_dendro$segments$y)), expand = F)
p2 = ggplot(df, aes(states, y = 1, fill = factor(cluster))) +
ylab("y label") +
geom_tile() + theme_minimal() +
coord_cartesian(xlim = c(-1, nrow(df) + 1), expand = F) +
theme(axis.title.x = element_blank(),
axis.title.y = element_text(angle = 0, vjust = 0.5, hjust = 1),
axis.ticks = element_blank(),
axis.text = element_blank(),
legend.position = "none",
line = element_blank())
p3 = ggplot(df, aes(states, y = 1, fill = factor(cluster))) +
ylab("a longer y label") +
geom_tile() + theme_minimal() +
coord_cartesian(xlim = c(-1, nrow(df) + 1), expand = F) +
theme(axis.title.x = element_blank(),
axis.title.y = element_text(angle = 0, vjust = 0.5, hjust = 1),
axis.ticks = element_blank(),
axis.text = element_blank(),
legend.position = "none",
line = element_blank())
grid.arrange方法:
gp1 = ggplotGrob(p1)
gp2 = ggplotGrob(p2)
gp3 = ggplotGrob(p3)
maxWidth = grid::unit.pmax(gp1$widths[2:5], gp2$widths[2:5], gp3$widths[2:5])
gp1$widths[2:5] = as.list(maxWidth)
gp2$widths[2:5] = as.list(maxWidth)
gp3$widths[2:5] = as.list(maxWidth)
grid.arrange(gp1, gp2, gp3, ncol = 1, heights = c(8,1,1))
plot_grid方法:
plot_grid(p1, p2, p3, ncol = 1, align = "hv", axis = "tblr", rel_heights = c(8,1,1))
答案 0 :(得分:2)
egg
软件包将完成工作
require(ggplot2)
require(ggdendro)
hc = hclust(dist(USArrests), "ave")
df = data.frame(cluster = cutree(hc, 6),
states = factor(hc$labels, levels = hc$labels[hc$order]))
p1_dendro = dendro_data(hc)
p1 = ggdendrogram(hc) +
coord_cartesian(xlim = c(-1, nrow(df) + 1), ylim = c( -1, max(p1_dendro$segments$y)), expand = F)
p2 = ggplot(df, aes(states, y = 1, fill = factor(cluster))) +
ylab("y label") +
geom_tile() + theme_minimal() +
coord_cartesian(xlim = c(-1, nrow(df) + 1), expand = F) +
theme(axis.title.x = element_blank(),
axis.title.y = element_text(angle = 0, vjust = 0.5, hjust = 1),
axis.ticks = element_blank(),
axis.text = element_blank(),
legend.position = "none",
line = element_blank())
p3 = ggplot(df, aes(states, y = 1, fill = factor(cluster))) +
ylab("a longer y label") +
geom_tile() + theme_minimal() +
coord_cartesian(xlim = c(-1, nrow(df) + 1), expand = F) +
theme(axis.title.x = element_blank(),
axis.title.y = element_text(angle = 0, vjust = 0.5, hjust = 1),
axis.ticks = element_blank(),
axis.text = element_blank(),
legend.position = "none",
line = element_blank())
使用p1
一起堆叠p2
,p3
和ggarrange()
# install.packages("egg", dependencies = TRUE)
library(egg)
ggarrange(p1, p2, p3,
ncol = 1,
heights = c(8, 1, 1))
由reprex package(v0.3.0)于2020-08-06创建