ggarrange: combining multiple plots with shared y and x axis: 仅安排一个共享的 y 轴，同时保持相同比例

Question

我使用 ggpubr::ggarrange 创建了一个具有共享 y 轴和 x 轴的多图。我遇到的唯一问题是第一个图确实有 y 轴小于其他 3 个图，这使整个图不成比例。

因此，我正在寻找一种解决方案，只显示一个 y 实验室，而不会使第一个图与其他 3 个图不成比例。非常感谢您的帮助，因为我已经安静了一段时间，一直在寻找解决这个问题的方法。

到目前为止，我的方法是从图 (p) 2、3、4 中删除 y 实验室并将其保留在 p1 上。

这是我的代码：

library(ggplot2)
  library(ggpubr)
  library(dplyr)

p1 <-  ggplot(arrange(ploughed1, Horizont), aes(Ferment, RAI_II,  fill = factor(Horizont, levels=c("4","3","2","1"))))+
    geom_bar(stat = "identity", position = "dodge")+
    scale_fill_manual(values = c("#FF9933", "#CC6600","#663300","#000000"))+
    guides(fill = guide_legend(reverse = TRUE))+
    labs(fill="Horizon")+
    ylim(0,200)+
    theme_bw()+
    facet_wrap(~compost)+
    theme(strip.text = element_text(size = 7),
          panel.spacing = unit(0.2, "lines"))+
    geom_col(position = position_stack(reverse = TRUE))+
    labs(x="Ferment", y = "RAI_II=Rooting*Scheme*Active",  title = "P- ")

p2 <-  ggplot(arrange(ploughed2, Horizont), aes(Ferment, RAI_II,  fill = factor(Horizont, levels=c("4","3","2","1"))))+
    geom_bar(stat = "identity", position = "dodge")+
    scale_fill_manual(values = c("#FF9933", "#CC6600","#663300","#000000"))+
    guides(fill = guide_legend(reverse = TRUE))+
    labs(fill="Horizon")+
    ylim(0,200)+
    theme_bw()+
    theme(axis.text.y = element_blank(),
          panel.spacing = unit(0.2, "lines"),
          strip.text = element_text(size = 7))+
    facet_wrap(~compost)+
    geom_col(position = position_stack(reverse = TRUE))+
    labs(x="Ferment",  title = "P+ ")+ 
    rremove("ylab")

  p3 <-  ggplot(arrange(reduced1, Horizont), aes(Ferment, RAI_II,  fill = factor(Horizont, levels=c("4","3","2","1"))))+
    geom_bar(stat = "identity", position = "dodge")+
    scale_fill_manual(values = c("#FF9933", "#CC6600","#663300","#000000"))+
    guides(fill = guide_legend(reverse = TRUE))+
    labs(fill="Horizon")+
    ylim(0,200)+
    theme_bw()+
    theme(axis.text.y = element_blank(),
          panel.spacing = unit(0.2, "lines"),
          strip.text = element_text(size = 7))+
    facet_wrap(~compost)+
    geom_col(position = position_stack(reverse = TRUE))+
    labs(x="Ferment",  title = "RT- ")+ 
    rremove("ylab")
  
  p4 <-  ggplot(arrange(reduced2, Horizont), aes(Ferment, RAI_II,  fill = factor(Horizont, levels=c("4","3","2","1"))))+
    geom_bar(stat = "identity", position = "dodge")+
    scale_fill_manual(values = c("#FF9933", "#CC6600","#663300","#000000"))+
    guides(fill = guide_legend(reverse = TRUE))+
    labs(fill="Horizon")+
    ylim(0,200)+
    theme_bw()+
    theme(axis.text.y = element_blank(),
          panel.spacing = unit(0.2, "lines"),
          strip.text = element_text(size = 7))+
    facet_wrap(~compost)+
    geom_col(position = position_stack(reverse = TRUE))+
    labs(x="Ferment",  title = "RT+ ")+ 
    rremove("ylab")

ggarrange(p1, p2, p3, p4, nrow=1, common.legend = TRUE)

输出.png

输出图像：1

我也尝试在ggarrange函数中解决，不去掉p2,p3,p4中的y lab和text，结果一样。

ggarrange(p1, p2+ 
            theme(axis.text.y = element_blank(),
                  axis.ticks.y = element_blank(),
                  axis.title.y = element_blank() ), p3+ 
            theme(axis.text.y = element_blank(),
                  axis.ticks.y = element_blank(),
                  axis.title.y = element_blank() ), p4+ 
            theme(axis.text.y = element_blank(),
                  axis.ticks.y = element_blank(),
                  axis.title.y = element_blank() ) , nrow=1,  common.legend = TRUE)

Answer 1

如果您可以选择其他软件包，我建议您使用 patchwork。使用一些方便的函数来减少重复代码和一些随机示例数据来模拟您的真实数据：

library(ggplot2)
library(patchwork)
library(dplyr)

ploughed1 <- data.frame(
  Horizont = rep(1:4, 4),
  RAI_II = runif(16, 10, 50),
  Ferment = rep(c("-", "+"), each = 8),
  compost = rep(c("- Compost", "+ Compost"), each = 4)
)

plot_fun <- function(x, title) {
  ggplot(arrange(x, Horizont), aes(Ferment, RAI_II, fill = factor(Horizont, levels = c("4", "3", "2", "1")))) +
    geom_bar(stat = "identity", position = "dodge") +
    scale_fill_manual(values = c("#FF9933", "#CC6600", "#663300", "#000000")) +
    guides(fill = guide_legend(reverse = TRUE)) +
    ylim(0, 200) +
    theme_bw() +
    facet_wrap(~compost) +
    theme(
      strip.text = element_text(size = 7),
      panel.spacing = unit(0.2, "lines")
    ) +
    geom_col(position = position_stack(reverse = TRUE)) +
    labs(x = "Ferment", y = "RAI_II=Rooting*Scheme*Active", fill = "Horizon", title = title)
}

remove_y <- theme(
  axis.text.y = element_blank(),
  axis.ticks.y = element_blank(),
  axis.title.y = element_blank()
)
p <- list(
  plot_fun(ploughed1, "P-"),
  plot_fun(ploughed1, "P+") + remove_y,
  plot_fun(ploughed1, "RT-") + remove_y,
  plot_fun(ploughed1, "RT+") + remove_y
)
wrap_plots(p, nrow = 1) + plot_layout(guides = "collect")

与 patchwork 相比，在每个绘图中所有面都具有相同的宽度，由于 y 比例，使用 ggpubr:ggarrange 挤压第一个图中的面：

ggpubr::ggarrange(plotlist = p, nrow = 1, common.legend = TRUE)

ggarrange: combining multiple plots with shared y and x axis: 仅安排一个共享的 y 轴，同时保持相同比例

ggarrange: combining multiple plots with shared y and x axis: arrange for only one shared y axis while keeping plots in same proportion

r

ggplot2

plot

ggpubr

输出.png